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Pervasive Systems (PS)
Pervasive Systems (PS)
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Publications of the PS group

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2025

Modeling of Mutual Connectionless BLE Discovery in the Context of B2X Communications (2025)In IEEE Vehicular Networking Conference (2025 IEEE Vehicular Networking Conference (VNC)). IEEE. Ben Fredj, K., Heijenk, G. & Huang, Y.https://doi.org/10.1109/VNC64509.2025.11054198Towards integrating process mining with agent-based modeling and simulation: State of the art and outlook (2025)Expert systems with applications, 281. Article 127571. Bemthuis, R. H. & Lazarova-Molnar, S.https://doi.org/10.1016/j.eswa.2025.127571Datasets for: Light and temperature as triggers for surface filamentous green algal blooms in shallow freshwater systems (2025)[Dataset Types › Dataset]. Zenodo. Kemp, H. R., McGowan, S., Zieritz, A., Dugdale, S., Helmsing, N., Wiezer, S., De Senerpont Domis, L. N., Maberly, S. & Kelly, M.https://doi.org/10.5281/zenodo.15669104A CRISP-DM-based methodology for assessing agent-based simulation models using process mining (2025)Journal of simulation, 1-22 (E-pub ahead of print/First online). Bemthuis, R. H., Govers, R. R. & Asadi, A.https://doi.org/10.1080/17477778.2025.2508245Towards Edge-Based Idle State Detection in Construction Machinery Using Surveillance Cameras (2025)[Working paper › Preprint]. ArXiv.org. Küpers, X., Klein Brinke, J., Bemthuis, R. H. & Durmaz - Incel, Ö.https://doi.org/10.48550/arXiv.2506.00904Lost in Models? Structuring Managerial Decision Support in Process Mining with Multi-criteria Decision Making (2025)[Working paper › Preprint]. ArXiv.org. Bemthuis, R. H.https://doi.org/10.48550/arXiv.2505.10236WIFI empowerment: Towards Flexible, Adaptable and Reliable QoS in IoT Networks (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Zia, K.https://doi.org/10.3990/1.9789036565509Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum (2025)IEEE internet computing, 1-9 (E-pub ahead of print/First online). Peltonen, E., Bayhan, S., Bermbach, D., Buschjager, S., Degeler, V., Ding, A. Y., Incel, O. D., Katare, D., Kjargaard, M. B., Leroux, S., Mahmoodi, T., Mann, Z. A., Meratnia, N., Pimentel, A. D., Rellermeyer, J. S., Riviere, E., Sapra, D., Solmaz, G. & Waaij, B. v. d.https://doi.org/10.1109/MIC.2025.3566642IoT-Enabled Multi-Agent Simulation for Hazard Detection and Safety in Construction (2025)Procedia computer science, 257, 354-363. Sepanosian, T. & Bemthuis, R. H.https://doi.org/10.1016/j.procs.2025.03.047Waves of well-being: An exploration of remote health monitoring across species using FMCW radar (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Sadeghi, E.https://doi.org/10.3990/1.9789036564885Towards Resilient Construction Logistics with Digital Twins (2025)In Enterprise Design, Operations, and Computing. EDOC 2024 Workshops: iRESEARCH, MIDas4CS, Doctoral Consortium, Joint CBI–EDOC Forum and Other Joint CBI-EDOC Events, Vienna, Austria, September 10–13, 2024, Revised Selected Papers (pp. 327-334). Springer. Massah, F.https://doi.org/10.1007/978-3-031-79059-1_20Integrated models of nutrient dynamics in lake and reservoir watersheds: A systematic review and integrated modelling decision pathway (2025)Environmental modelling & software, 185. Article 106321. Clopin, F., Micella, I., Mesman, J. P., Paule-Mercado, M. C., Amadori, M., Lin, S., de Senerpont Domis, L. N. & de Klein, J. J. M.https://doi.org/10.1016/j.envsoft.2025.106321Beyond CVEs: Mapping Weaknesses in Unstructured Threat Intelligence Text (2025)[Working paper › Preprint]. Simonetto, S., Oostveen, R., van Ede, T. S., Bosch, P. & Jonker, W.Consumer-Driven Sustainability Transitions in the Food Supply Chain: An Initial Simulation Framework (2025)Procedia computer science, 257, 344-353. Chaudhuri, A., Chilekampally, R., Manu Krishna Bindhu, N., Andrea, M. & Bemthuis, R. H.https://doi.org/10.1016/j.procs.2025.03.046Knowing your weaknesses is your greatest strength: Mapping CVE to CWE by leveraging CWE Hierarchy and LLMs (2025)[Working paper › Preprint]. Simonetto, S., Oostveen, R., van Ede, T. S., Bosch, P. & Jonker, W.Lost in Models? Structuring Managerial Decision Support in Process Mining with Multi-criteria Decision Making (2025)In Intelligent Information Systems: CAiSE 2025 Forum and Doctoral Consortium, Vienna, Austria, June 16-20, 2025, Proceedings (pp. 29-36) (Intelligent Information Systems; Vol. 557). Springer. Bemthuis, R. H.https://doi.org/10.1007/978-3-031-94590-8_4Process Mining for Demographic Insights: A Subpopulation Analysis in Healthcare Pathways (2025)In Proceedings of the 27th International Conference on Enterprise Information Systems (pp. 267-277). SCITEPRESS. Naguine, P., Arachchige, J. J., Bemthuis, R. H. & Bukhsh, F. A.https://doi.org/10.5220/0013289800003929What Matters Most in Vulnerabilities? Key Term Extraction for CVE-to-CWE Mapping with LLMs (2025)[Working paper › Preprint]. Simonetto, S., Oostveen, R., van Ede, T. S., Bosch, P. & Jonker, W.

2024

Comparative Analysis of Topology Changes in FSO and RF Spatial Networks Under Node Mobility and Weather Variability (2024)[Contribution to conference › Paper] IEEE Wireless Communications and Networking Conference (Accepted/In press). Douatsap Ndongson, S. a.iMoT: Inertial Motion Transformer for Inertial Navigation (2024)[Working paper › Preprint]. ArXiv.org. Nguyen, S. M., Tran, L. D., Le, D. V. & Havinga, P. J. M.https://doi.org/10.48550/arXiv.2412.12190Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-based Indoor Localization (2024)[Working paper › Preprint]. ArXiv.org. Nguyen, S. M., Tran, L. D., Le, D. V. & Havinga, P. J. M.https://doi.org/10.48550/arXiv.2412.12189A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus (2024)Remote sensing, 16(23). Article 4611. Amin, A., Kamilaris, A. & Karatsiolis, S.https://doi.org/10.3390/rs16234611SPECTRUM: Towards Self-aware Industrial IoT Systems (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Anbalagan, S. N.https://doi.org/10.3990/1.9789036563352Using body sensors for evaluating the impact of smart cycling technologies on cycling experiences: a systematic literature review and conceptual framework (2024)European transport research review, 16. Article 13. Boot, M., Ulak, M. B., Geurs, K. T. & Havinga, P. J. M.https://doi.org/10.1186/s12544-024-00635-3Smart Connected Bicycles: User Acceptance and Experience, Willingness to Pay and Road Safety Implications (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Kapousizis, G.https://doi.org/10.3990/1.9789055843541Optimizing QoS in Wireless IoT Networks: A Cross-Layer based Experimental Study (2024)In IEEE CAMAD 2024 (Accepted/In press). Zia, K., Chiumento, A. & Havinga, P. J. M.Boxing Gesture Recognition in Real-Time using Earable IMUs (2024)In UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 673-678). Association for Computing Machinery. Sepanosian, T. & Durmaz Incel, O.https://doi.org/10.1145/3675094.3680524M-MOVE-IT: Multimodal Machine Observation and Video-Enhanced Integration Tool for Data Annotation (2024)In UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 911-915). Association for Computing Machinery. Kamminga, J., van der Duim, R. & ten Hove, E.https://doi.org/10.1145/3675094.3678479Training Smarter with OpenEarable: A Boxing Gesture Recognition Dashboard Integration (2024)In UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 921-924). Association for Computing Machinery. Sepanosian, T. & Durmaz Incel, O.https://doi.org/10.1145/3675094.3678481Method for detecting fluid parameters using a flow sensor configuration (2024)[Patent › Patent]. Alveringh, D., Le, D. V., Groenesteijn, J. & Lötters, J. C.https://patents.google.com/patent/NL2034449B1/COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification (2024)In Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024 (pp. 3971-3980) (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). IEEE. Hogeweg, L. E., Gangireddy, R., Brunink, D., Kalkman, V. J., Cornelissen, L. & Kamminga, J. W.https://doi.org/10.1109/CVPRW63382.2024.004015G security: Are we forgetting someone? (2024)[Contribution to conference › Poster] EEMCS networking day 2024 (Unpublished). Simonetto, S.Effect of an antidepressant on aquatic ecosystems in the presence of microplastics: A mesocosm study (2024)Environmental Pollution, 357. Article 124439. Raman, N. V., Gebreyohanes Belay, B. M., South, J., Botha, T. L., Pegg, J., Khosa, D., Mofu, L., Walsh, G., Jordaan, M. S., Koelmans, A. A., Teurlincx, S., Helmsing, N. R., de Jong, N., van Donk, E., Lürling, M., Wepener, V., Fernandes, T. V. & de Senerpont Domis, L. N.https://doi.org/10.1016/j.envpol.2024.124439TaxaNet: Harnessing a Hierarchical Loss Function for Insect Classification Using Deep Learning (2024)In Workshop on Camera Traps, AI, and Ecology 2024 (pp. 46-56) (CEUR workshop proceedings; Vol. 3786). CEUR. Padubidri, C., Visserman, H., Lanitis, A. & Kamilaris, A.RayPet: Unveiling Challenges and Solutions for Activity and Posture Recognition in Pets Using FMCW Mm-Wave Radar (2024)In Proceedings of 9th International Congress on Information and Communication Technology: ICICT 2024 (pp. 303-318) (Lecture Notes in Networks and Systems; Vol. 1000). Springer. Sadeghi, E., Raalte, A. v., Chiumento, A. & Havinga, P.https://doi.org/10.1007/978-981-97-3289-0_25Comprehensive threat analysis and systematic mapping of CVEs to MITRE framework (2024)In 1st International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security. Simonetto, S. & Bosch, P.E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light (2024)In Mobile and Ubiquitous Systems: Computing, Networking and Services - 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14-17, 2023. Proceedings, Part I (pp. 201-220) (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 593). Springer. Ben Fredj, K., Pallamreddy, A. R., Heijenk, G., Havinga, P. & Huang, Y.https://doi.org/10.1007/978-3-031-63989-0_10E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light (2024)In Mobile and Ubiquitous Systems: Computing, Networking and Services - 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14-17, 2023. Proceedings, Part I (pp. 201-220) (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 593). Springer. Ben Fredj, K., Pallamreddy, A. R., Heijenk, G., Havinga, P. & Huang, Y.https://doi.org/10.1007/978-3-031-63989-0_10Distributed control for highly reliable communication in free space optical satellite networks (2024)[Contribution to conference › Poster] 2nd annual consortium day of the project- FREE: Optical Wireless Superhighways: Free Photons at Home and in Space (Unpublished). Douatsap Ndongson, S. a.Interwoven Waves: Enhancing the Scalability and Robustness of Wi-Fi Channel State Information for Human Activity Recognition (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Klein Brinke, J.https://doi.org/10.3990/1.9789036561419Using Federated Learning and Channel State Information-Based Sensing for Scalable and Realistic At-Home Healthcare (2024)In EICC 2024: European Interdisciplinary Cybersecurity Conference (pp. 186-193). ACM Press. Klein Brinke, J., van der Linden, M. & Havinga, P. J. M.https://doi.org/10.1145/3655693.3660254Non-invasive fitness assessment in horses: Integrating wearables and machine learning (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Darbandi, H.https://doi.org/10.3990/1.9789036561532Towards standardisation of surface electromyography measurements in the horse: Bipolar electrode location (2024)Journal of electromyography and kinesiology, 76. Article 102884. Smit, I. H., Parmentier, J. I. M., Rovel, T., van Dieen, J. & Serra Bragança, F. M.https://doi.org/10.1016/j.jelekin.2024.102884Fine Grained vs Coarse Grained Channel Quality Prediction: A 5G-RedCap Perspective for Industrial IoT Networks (2024)In 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS) (pp. 1-7). IEEE. Anbalagan, S. N., Chiumento, A. & Havinga, P. J. M.The power of observation: smart monitoring of aquatic systems in the light of fast global change (2024)[Book/Report › Inaugural speech]. University of Twente. de Senerpont Domis, L. N.Towards Robust Slice Control in SDN Enabled WiFi based IoT Networks (2024)In 2024 20th International Conference on the Design of Reliable Communication Networks (DRCN) (pp. 159-164). IEEE. Kulikowski, D., Zia, K., Chiumento, A. & Havinga, P. J. M.https://doi.org/10.1109/DRCN60692.2024.10539146Comprehensive mm-Wave FMCW Radar Dataset for Vital Sign Monitoring: Embracing Extreme Physiological Scenarios (2024)[Working paper › Preprint]. ArXiv.org. Sadeghi, E., Skurule, K., Chiumento, A. & Havinga, P.https://doi.org/10.48550/arXiv.2405.12659Non-Invasive Monitoring of Vital Signs in Calves Using Thermal Imaging Technology (2024)[Working paper › Preprint]. ArXiv.org. Sadeghi, E., Guo, Z., Chiumento, A. & Havinga, P.Strengthening Cloud Applications: A Deep Dive into Kill Chain Identification, Scoring, and Automatic Penetration Testing (2024)In Research Challenges in Information Science: 18th International Conference, RCIS 2024, Guimarães, Portugal, May 14–17, 2024, Proceedings, Part II (pp. 111-120). Springer. Simonetto, S.https://doi.org/10.1007/978-3-031-59468-7_13Seeing the world from its words: All-embracing Transformers for fingerprint-based indoor localization (2024)Pervasive and Mobile Computing, 100. Article 101912. Nguyen, S. M., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1016/j.pmcj.2024.101912Non-Invasive Lactate Estimation Using Wearable Sensors for Remote Fatigue Assessment in Horses (2024)In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 352-357). IEEE. Darbandi, H., Munsters, C. & Havinga, P. J. M.https://doi.org/10.1109/PerComWorkshops59983.2024.10503247Predicting Turn Maneuvers of Cyclists Using Bicycle-Mounted IMU with CNN-LSTM (2024)In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 587-592). Article 10502681. IEEE. Smit, G. d., Yeleshetty, D., Havinga, P. J. M. & Huang, Y.https://doi.org/10.1109/PerComWorkshops59983.2024.10502681The Be-Hive Project—Counting Bee Traffic Based on Deep Learning and Pose Estimation (2024)In Intelligent Systems and Applications - Proceedings of the 2023 Intelligent Systems Conference IntelliSys Volume 2 (pp. 531-545) (Lecture Notes in Networks and Systems; Vol. 823 LNNS). Springer. Padubidri, C., Kamilaris, A., Charalambous, A., Lanitis, A. & Constantinides, M.https://doi.org/10.1007/978-3-031-47724-9_35Emergent Behaviors in a Resilient Logistics Supply Chain (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Bemthuis, R. H.https://doi.org/10.3990/1.9789036560733Assessing the Health Impact of Disinfection Byproducts in Drinking Water (2024)ACS Environmental Science and Technology Water, 4(4), 1564-1578. Article 3c00664. Kalita, I., Kamilaris, A., Havinga, P. J. M. & Reva, I.https://doi.org/10.1021/acsestwater.3c00664RayPet: Unveiling Challenges and Solutions for Activity and Posture Recognition in Pets Using FMCW Mm-Wave Radar (2024)[Working paper › Preprint]. ArXiv.org. Sadeghi, E., van Raalte, A., Chiumento, A. & Havinga, P.EuropaBON EBV workflow templates (2024)[Dataset Types › Dataset]. Zenodo. Lumbierres, M., Huybrechts, P., Pereira, H. M., Brotons, L., Souza, A. T., Buttigieg, P. L., Rasmussen, J. J., Pit, I. R., Jankauskaite, G., Müllerová, J., Kopatz, A., Lever, J. J., Anderle, M., Santana, J., Enrica, N., Sousa, R., Zhang, J., Floccia, F., Díaz-Delgado, R., … Solé-Medina, A.https://doi.org/10.5281/zenodo.10680435mm-Wave FMCW Radar Vital Sign Monitoring Dataset: Diverse Physiological Scenarios (2024)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Sadeghi, E., chiumento, A. & Havinga, P.https://doi.org/10.4121/48acba04-96bc-4131-b52f-9e18458ad92bA CRISP-DM-based Methodology for Assessing Agent-based Simulation Models using Process Mining (2024)[Working paper › Preprint]. ArXiv.org. Bemthuis, R. H., Govers, R. R. & Asadi, A.https://doi.org/10.48550/arXiv.2404.01114Assessing Factory’s Industry 4.0 Readiness: A Practical Method for IIoT Sensor and Network Analysis (2024)Procedia computer science, 232, 2730-2739. Anbalagan, S. N., Schwarz, M., Bemthuis, R. & Havinga, P. J. M.https://doi.org/10.1016/j.procs.2024.02.090COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification (2024)[Working paper › Preprint]. ArXiv.org. Hogeweg, L., Gangireddy, R., Brunink, D., Kalkman, V., Cornelissen, L. & Kamminga, J. W.https://doi.org/10.48550/arXiv.2403.06874Sensing the care: Advancing unobtrusive sensing solutions to support informal caregivers of older adults with cognitive impairment (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Sharma, N.https://doi.org/10.3990/1.9789036559942Hot summers raise public awareness of toxic cyanobacterial blooms (2024)Water research, 249. Article 120817. van de Waal, D. B., Gsell, A. S., Harris, T., Paerl, H. W., de Senerpont Domis, L. N. & Huisman, J.https://doi.org/10.1016/j.watres.2023.120817Understanding the differential impacts of two antidepressants on locomotion of freshwater snails (Lymnaea stagnalis) (2024)Environmental science and pollution research, 31, 12406-12421. Raman, N. V., Dubey, A., van Donk, E., Elert, E. v., Lürling, M., Fernandes, T. V. & de Senerpont Domis, L. N.https://doi.org/10.1007/s11356-024-31914-0Annotated mobile laser scans of the Dutch railway environment (2024)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Ton, B. T.https://doi.org/10.4121/fa259c52-a585-420c-8a0c-af5e91518e29Height-Adaptive Human Gait Model Through Radar-Driven Pipeline With Two Co-Located mmWave MIMO Radars (2024)IEEE Access, 12, 7199-7223. Veld, R., Kokkeler, A. B. J., Chiumento, A. & Miao, Y.https://doi.org/10.1109/ACCESS.2024.3350354An IoT-Based Architecture for Real-Time Emission Monitoring at Construction Sites (2024)In 2024 26th International Conference on Business Informatics (CBI) (pp. 139-148) (Proceedings International Conference on Business Informatics (CBI); Vol. 2024). IEEE. Sepanosian, T., Küpers, X., Joza, P., Massah, F. & Bemthuis, R.https://doi.org/10.1109/CBI62504.2024.00025Analyzing Sepsis Treatment Variations in Subpopulations with Process Mining (2024)In Proceedings of the 26th International Conference on Enterprise Information Systems (pp. 85-94) (International Conference on Enterprise Information Systems, ICEIS - Proceedings; Vol. 1). SCITEPRESS. Rademaker, F. M., Bemthuis, R. H., Jayasinghe, J. & Bukhsh, F. A.https://doi.org/10.5220/0012600700003690Are We in Flow? Measuring and Supporting Simultaneous Flow in Duos of Elderly Cyclists (2024)In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024 (pp. 255-260) (Proceedings IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops); Vol. 2024). IEEE. Boot, M., Kahnt, L., Postma, D., Ulak, M. B., Geurs, K. & Havinga, P.https://doi.org/10.1109/PerComWorkshops59983.2024.10503119Exploring the Integration of Agent-Based Modelling, Process Mining, and Business Process Management through a Text Analytics–Based Literature Review (2024)In The Oxford Handbook of Agent-based Computational Management Science. Oxford University Press. Bukhsh, F. A., Govers, R., Bemthuis, R. H. & Iacob, M. E.https://doi.org/10.1093/oxfordhb/9780197668122.013.20GAEA: A Country-Scale Geospatial Environmental Modelling Tool: Towards a Digital Twin for Real Estate (2024)In Advances and New Trends in Environmental Informatics 2023: Sustainable Digital Society (pp. 177–199) (Progress in IS). Springer. Jamil, A., Padubidri, C., Karatsiolis, S., Kalita, I., Guley, A. & Kamilaris, A.https://doi.org/10.1007/978-3-031-46902-2_10M-MOVE-IT: Multimodal Machine Observation and Video-Enhanced Integration Tool for Data Annotation (2024)[Non-textual form › Software]. GitHub. Kamminga, J. W.https://github.com/AI-Sensus/M-MOVE-ITNon-Invasive Monitoring of Vital Signs in Calves Using Thermal Imaging (2024)In 11th European Conference on Precision Livestock Farming (pp. 1289-1296). European Conference on Precision Livestock Farming. Sadeghi, E., Guo, Z., Chiumento, A. & Havinga, P.Point taken: Translating the physical rail domain to cyber space using point clouds from mobile laser scanning (2024)[Thesis › PhD Thesis - Research external, graduation UT]. University of Twente. Ton, B.https://doi.org/10.3990/1.9789036561990Quantifying Risk in the Kill-Chain: Automating Threat Prioritization for Kubernetes Clusters (2024)In CSNG2024: Cyber Security Next Generation Workshop 2024. Simonetto, S. & Bosch, P.Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning (2024)Remote sensing, 16(1). Article 142. Karatsiolis, S., Padubidri, C. & Kamilaris, A.https://doi.org/10.3390/rs16010142Text2Weak: mapping CVEs to CWEs using description embeddings analysis (2024)In The 4th Workshop on Artificial Intelligence-Enabled Cybersecurity Analytics. Simonetto, S., van Ede, T. S., Bosch, P., Jonker, W. & Oostveen, R.https://ai4cyber-kdd.com/KDD-AISec_files/Submission_8_final.pdfTowards understanding animal welfare by observing collective flock behaviors via AI-powered Analytics (2024)In Proceedings of the 19th Conference on Computer Science and Intelligence Systems (pp. 643-648) (Annals of Computer Science and Intelligence Systems; Vol. 39). Karatsiolis, S., Panagi, P., Vassiliades, V., Kamilaris, A., Nicolaou, N. & Stavrakis, E.https://doi.org/10.15439/2024F2064Using Process Mining for Face Validity Assessment in Agent-Based Simulation Models: An Exploratory Case Study (2024)In Cooperative Information Systems: 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30–November 3, 2023, Proceedings (pp. 311-326) (Lecture Notes in Computer Science; Vol. 14353). Springer. Bemthuis, R. H., Govers, R. & Lazarova-Molnar, S.https://doi.org/10.1007/978-3-031-46846-9_17

2023

Wi-Gitation: Replica Wi-Fi CSI Dataset for Physical Agitation Activity Recognition (2023)Data, 9(1). Article 9. Sharma, N., Brinke, J. K., Jansen, L. M. A. B., Havinga, P. J. M. & Le, D. V.https://doi.org/10.3390/data9010009Process-based modeling for ecosystem service provisioning: Non-linear responses to restoration efforts in a quarry lake under climate change (2023)Journal of environmental management, 348. Article 119163. Zhan, Q., de Senerpont Domis, L. N., Lürling, M., Marcé, R., Heuts, T. S. & Teurlincx, S.https://doi.org/10.1016/j.jenvman.2023.119163Utilization of UAVs as Flying Base Stations in Urban Environments (2023)In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2023 (pp. 7-11) (International Congress on Ultra Modern Telecommunications and Control Systems and Workshops). IEEE. Tafintsev, N., Chiumento, A., Vikhrova, O., Valkama, M. & Andreev, S.https://doi.org/10.1109/ICUMT61075.2023.10333093Airborne Integrated Access and Backhaul Systems: Learning-Aided Modeling and Optimization (2023)IEEE transactions on vehicular technology, 72(12), 16553-16566. Tafintsev, N., Moltchanov, D., Chiumento, A., Valkama, M. & Andreev, S.https://doi.org/10.1109/TVT.2023.3293171Fluid classification with integrated flow and pressure sensors using machine learning (2023)Sensors and Actuators A: Physical, 363. Article 114762. Alveringh, D., Le, D. V., Groenesteijn, J., Schmitz, J. & Lötters, J. C.https://doi.org/10.1016/j.sna.2023.114762Comprehending Security Events: Context-Based Identification and Explanation (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. van Ede, T. S.https://doi.org/10.3990/1.9789036558891Dataset supporting the paper "Measuring and Supporting Simultaneous Flow in Duos of Elderly Cyclists" (2023)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Boot, M., Geurs, K., Ulak, B., Havinga, P., Dees, D., Kahnt, L. & Postma, D. B. W.https://doi.org/10.4121/4c91188a-ccdd-418e-a570-75497113096eGovernance of a Blockchain-Enabled IoT Ecosystem: A Variable Geometry Approach (2023)Sensors (Switzerland), 23(22). Article 9031. Ullah, I. & Havinga, P. J. M.https://doi.org/10.3390/s23229031Distributed topology discovery in resource-constrained IoT: a Directed Flooding approach (2023)In IEEE 9th World Forum on Internet of Things 2023. Lotano, S. & Chiumento, A.VarOLLA: Maximizing Throughput for 5G-RedCap Devices in IIoT Networks (2023)In IEEE 9th World Forum on Internet of Things 2023 (Accepted/In press). Anbalagan, S. N., Havinga, P. J. M. & Chiumento, A.Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning (2023)[Working paper › Preprint]. Preprints. Karatsiolis, S., Padubidri, C. & Kamilaris, A.https://doi.org/10.20944/preprints202310.1626.v1An Approach for Face Validity Assessment of Agent-Based Simulation Models Through Outlier Detection with Process Mining (2023)In Enterprise Design, Operations, and Computing: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (pp. 134-151) (Lecture Notes in Computer Science; Vol. 14367). Springer. Bemthuis, R. H. & Lazarova-Molnar, S.https://doi.org/10.1007/978-3-031-46587-1_8Improving piglets health and well-being: A review of piglets health indicators and related sensing technologies (2023)Smart Agricultural Technology, 5. Article 100246. Sadeghi, E., Kappers, C., Chiumento, A., Derks, M. & Havinga, P.https://doi.org/10.1016/j.atech.2023.100246(POSTER)DNN Task Allocation for Edge-Aided IoT (2023)[Contribution to conference › Poster] 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023. Yu, W., Huang, Y., Najafi, A., Sun, J., Nevarez, Y. & Garcia-Ortiz, A.https://doi.org/10.1109/DCOSS-IoT58021.2023.00027Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks (2023)In Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 437-444). IEEE. Nguyen, N. D. T., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1109/DCOSS-IoT58021.2023.00075Exploring the Impact of Locations and Activities in Person-Wise Data Mismatch in CSI-based HAR (2023)In 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) (pp. 232-239). Sharma, N., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1109/DCOSS-IoT58021.2023.00048Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion (2023)In Proceedings: 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 217-221) (Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023). IEEE. Hernandez, R. A., Xu, T., Huang, Y. & Zúñiga Zamalloa, M. A.https://doi.org/10.1109/DCOSS-IoT58021.2023.00045Hybrid Genetic Algorithm Combining Simulated Annealing for Task Allocation with Data Security (2023)In Proceedings: 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 134-141) (Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023). IEEE. Yu, W., Huang, Y., Yang, Y. & Garcia-Ortiz, A.https://doi.org/10.1109/DCOSS-IoT58021.2023.00033QoS Aware Slice Resource Management Using Deep Reinforcement Learning in IoT Networks (2023)In QoS Aware Slice Resource Management Using Deep Reinforcement Learning in IoT Networks (pp. 150-154) ( 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)). Zia, K., Chiumento, A., Havinga, P. J. M., Riggio, R. & Huang, Y.https://doi.org/10.1109/DCOSS-IoT58021.2023.00035Terrain Type Detection for Smart Equine Gait Analysis Systems Using Inertial Sensors and Machine Learning (2023)[Contribution to conference › Paper] 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023. Parmentier, J. I. M., Serra Bragança, F. M., Hernlund, E. & van der Zwaag, B. J.https://doi.org/10.1109/DCOSS-IoT58021.2023.00029Using body sensors in evaluations of the impact of smart cycling technologies on cycling experience (2023)In MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction (pp. 1-4). Article 43. Boot, M., Ulak, B., Geurs, K. & Havinga, P.https://doi.org/10.1145/3565066.3609736Surface types can be classified with equine IMUs data and machine learning (2023)Comparative Exercise Physiology, 19(Suppl. 1), S9. Parmentier, J. I. M., Serra Bragança, F. M., Hernlund, E. & van der Zwaag, B. J.https://www.wageningenacademic.com/doi/10.3920/cep2023.s1A Method for Bottleneck Detection, Prediction, and Recommendation Using Process Mining Techniques (2023)In E-Business and Telecommunications: 18th International Conference on E-Business and Telecommunications, ICETE 2021, Virtual Event, July 6–9, 2021, Revised Selected Papers (pp. 118-136) (Communications in Computer and Information Science (CCIS); Vol. 1795). Springer. Piest, J. P. S., Bemthuis, R. H., Cutinha, J. A., Arachchige, J. J. & Bukhsh, F. A.https://doi.org/10.1007/978-3-031-36840-0_726 GHz OFDM and 77 GHz FMCW Radar Dataset for Domain Shift Invariant Blockage Prediction (2023)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Miao, Y., van Berlo, B., Mao, K., Hersyandika, R., Pollin, S., Meratnia, N., Willetts, B., Meritnia, N. & Berlo, van, B.https://doi.org/10.4121/22117145Are we reasoning about cloud application vulnerabilities in the right way? (2023)In European Symposium on Security and Privacy (Euro S&P). Simonetto, S. & Bosch, P.https://doi.org/10.5281/ZENODO.8197645New paths for modelling freshwater nature futures (2023)Sustainability Science. Kramer, L., Teurlincx, S., Rashleigh, B., Janssen, A. B. G., Janse, J. H., Brauman, K. A., Földesi, C., van Wijk, D., de Senerpont Domis, L. N., Patil, S. D., Rashidi, P., Hamel, P., Rising, J., Mooij, W. M. & Kuiper, J. J.https://doi.org/10.1007/s11625-023-01341-0Factors influencing submerged macrophyte presence in fresh and brackish eutrophic waters and their impact on carbon emissions (2023)Aquatic Botany, 187. Article 103645. Gremmen, T., van Dijk, G., Postma, J., Colina, M., de Senerpont Domis, L. N., Velthuis, M., van de Haterd, R., Kuipers, F., van Rossum, H., Smolders, A. J. P. & Kosten, S.https://doi.org/10.1016/j.aquabot.2023.103645Utilising Emotion Monitoring for Developing Music Interventions for People with Dementia: A State-of-the-Art Review (2023)Sensors (Switzerland), 23(13). Article 5834. Vuijk, J. G. J., Klein Brinke, J. & Sharma, N.https://doi.org/10.3390/s23135834Autonomous Network Slicing and Resource Management for Diverse QoS in IoT Networks (2023)In 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 160-165). IEEE. Amur, S. H., Zia, K., Chiumento, A. & Havinga, P. J. M.https://doi.org/10.1109/PerComWorkshops56833.2023.10150306Channel State Information for Human Activity Recognition with Low Sampling Rates (2023)In UMUM 2023: 2nd Workshop on Ubiquitous and Multi-domain User Modeling (pp. 614-620). Klein Brinke, J., Chiumento, A. & Havinga, P. J. M.https://doi.org/10.1109/PerComWorkshops56833.2023.10150403A review of state-of-the-art bicycle technologies affecting cycling safety: Level of smartness and technology readiness (2023)Transport reviews, 43(3), 430-452. Kapousizis, G., Ulak, M. B., Geurs, K. & Havinga, P. J. M.https://doi.org/10.1080/01441647.2022.2122625Learning the world from its words: Anchor-agnostic Transformers for Fingerprint-based Indoor Localization (2023)In 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom) (pp. 150-159) (IEEE International Conference on Pervasive Computing and Communications (PerCom); Vol. 2023). IEEE. Nguyen, S. M., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1109/PERCOM56429.2023.10099376Detecting fatigue of sport horses with biomechanical gait features using inertial sensors (2023)PLoS ONE, 18(4). Article e0284554. Darbandi, H., Munsters, C., Parmentier, J. I. M. & Havinga, P. J. M.https://doi.org/10.1371/journal.pone.0284554Examining the potential of mobile applications to assist people to escape wildfires in real-time (2023)Fire Safety Journal, 136. Article 103747. Kamilaris, A., Filippi, J. B., Padubidri, C., Koole, R. & Karatsiolis, S.https://doi.org/10.1016/j.firesaf.2023.103747Salinisation effects on freshwater macrophyte growth and establishment in coastal eutrophic agricultural ditches (2023)Freshwater Biology, 68(4), 547-560. Velthuis, M., Teurlincx, S., van Dijk, G., Smolders, A. J. P. & de Senerpont Domis, L. N.https://doi.org/10.1111/fwb.14046Using process mining for workarounds analysis in context: Learning from a small and medium-sized company case (2023)International Journal of Information Management Data Insights, 3(1). Article 100163. Wijnhoven, F., Hoffmann, P., Bemthuis, R. & Boksbeld, J.https://doi.org/10.1016/j.jjimei.2023.100163DiNS: Nature Disaster in Network Simulations (2023)In 2022 18th International Conference on Mobility, Sensing and Networking (MSN) (pp. 586-593). IEEE. Hemadasa, N., Yu, W., Huang, Y., Sarmiento, L., Wickramasinghe, A. & Garcia-Ortiz, A.https://doi.org/10.1109/MSN57253.2022.00098Exploiting Multimode Antennas for MIMO and AoA Estimation in Size-Constrained IoT Devices (2023)IEEE Sensors Letters, 7(3). Article 5500904. Zandamela, A., Chiumento, A., Marchetti, N., Ammann, M. J. & Narbudowicz, A.https://doi.org/10.1109/LSENS.2023.3244870Data underlying the publication: Advanced ceramics in radical filtration: TiO2 layer thickness effect on the photocatalytic membrane performance (2023)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Heredia Deba, S. A., Wols, B. A. (., Yntema, D. R. & Lammertink, R.https://doi.org/10.4121/21985172Self-Attention Generative Distribution Adversarial Network for Few- and Zero-Shot Face Anti-Spoofing (2023)In 2022 IEEE International Joint Conference on Biometrics (IJCB). IEEE (Accepted/In press). Nguyen, S. M., Tran, L. D., Le, D. V. & Masayuki, A.https://doi.org/10.1109/IJCB54206.2022.10007986A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models (2023)In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP (pp. 39-46) (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Vol. 2023). SCITEPRESS. Karatsiolis, S. & Kamilaris, A.https://doi.org/10.5220/0011612400003417Applying deep learning to IMU data to classify lameness location in horses (2023)[Contribution to conference › Abstract] 9th International Conference on Equine and Canine Locomotion, ICEL 2023. Parmentier, J. I. M., van der Zwaag, B. J., Hernlund, E., Rhodin, M. & Serra Bragança, F. M.https://doi.org/10.3920/cep2023.s1Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective (2023)In Enterprise Information Systems. ICEIS 2022 (pp. 3-21) (Lecture Notes in Business Information Processing; Vol. 487). Springer. Maneschijn, D. G. J. C., Bemthuis, R. H., Arachchige, J. J., Bukhsh, F. A. & Iacob, M. E.https://doi.org/10.1007/978-3-031-39386-0_1Business rule extraction using decision tree machine learning techniques: A case study into smart returnable transport items (2023)Procedia computer science, 220, 446-455. Bemthuis, R. H., Wang, W., Iacob, M. E. & Havinga, P. J. M.https://doi.org/10.1016/j.procs.2023.03.057Point cloud analysis of railway infrastructure: a systematic literature review (2023)IEEE Access, 11, 134355-134373. Dekker, B., Ton, B., Meijer, J., Bouali, N., Linssen, J. & Ahmed, F.https://doi.org/10.1109/ACCESS.2023.3337049Prediction of continuous and discrete kinetic parameters in horses from inertial measurement units data using recurrent artificial neural networks (2023)Scientific reports, 13(1), 740. Article 740. Parmentier, J. I. M., Bosch, S., Zwaag, B. J. v. d., Weishaupt, M. A., Gmel, A. I., Havinga, P. J. M., Weeren, P. R. v. & Serra Bragança, F. M.https://doi.org/10.1038/s41598-023-27899-4Process mining and agent-based simulation: A harmonious blend! (2023)[Contribution to conference › Abstract] 11th EUROSIM Congress on Modelling and Simulation. Bemthuis, R. H.https://doi.org/10.11128/arep.23

2022

Data underlying the publication: Photocatalytic ceramic membrane: Effect of the illumination intensity and distribution (2022)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Heredia Deba, S., Lammertink, R., Wols, B. A., Yntema, D., Heredia Deba, S. A. & Yntema, D. R.https://doi.org/10.4121/21670541Level of smartness and technology readiness of bicycle technologies affecting cycling safety: A review of literature (2022)[Contribution to conference › Abstract] 10th International Cycling Safety Conference, ICSC 2022. Kapousizis, G., Ulak, M. B., Geurs, K. & Havinga, P. J. M.https://doi.org/10.25368/2022.462Testbed Hardware Design to Collect Data for Underground PVC Water Pipe Crack Detection: Challenges and Solutions (2022)[Contribution to conference › Paper] 5th International SenSys/BuildSys Workshop on Data, DATA 2022. Tran, Q. C. V., Le, D. V., Yntema, D. R. & Havinga, P. J. M.https://doi.org/10.1145/3560905.3567765Efficient talking in underground water pipelines (2022)[Contribution to conference › Poster] 5th IFIP International Internet of Things Conference, IoT 2022. Tran, Q. C. V., Nguyen, D. T. N., Le, D. V., Yntema, D. R. & Havinga, P. J. M.Joint Communication and Sensing for Human Activity Recognition in Wi-Fi 6E (2022)[Contribution to conference › Poster] 5th IFIP International Internet of Things Conference, IoT 2022. Klein Brinke, J., Chiumento, A. & Havinga, P. J. M.Self-diagnostic PVC pipes for capturing threats in underground water pipelines (2022)[Contribution to conference › Poster] 5th IFIP International Internet of Things Conference, IoT 2022. Tran, Q. C. V., Le, D. V., Yntema, D. R. & Havinga, P. J. M.Sensor-Based PUF: A Lightweight Random Number Generator for Resource Constrained IoT Devices (2022)In Internet of Things. IoT through a Multi-disciplinary Perspective - 5th IFIP International Cross-Domain Conference, IFIPIoT 2022, Proceedings (pp. 89-105) (IFIP Advances in Information and Communication Technology; Vol. 665 IFIP). Springer. Hillerström, M., Ullah, I. & Havinga, P. J. M.https://doi.org/10.1007/978-3-031-18872-5_6Data underlying the publication: Effects of the Water Matrix on the Degradation of Micropollutants by a Photocatalytic Ceramic Membrane (2022)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Heredia Deba, S. A., Lammertink, R., Wols, B. A., Yntema, D. R., Heredia Deba, S. A. & Yntema, D. R.https://doi.org/10.4121/21346149Data underlying the publication: Testbed Hardware Design to Collect Data for Underground PVC Water Pipe Crack Detection: Challenges and Solutions (2022)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Tran, Q. C. V.https://doi.org/10.4121/21340608Benchmarking feature selection algorithms for optimal classification and dataset comprehension: a biomechanical application (2022)Computer methods in biomechanics and biomedical engineering, 25(Suppl. 1), S245-S247. Parmentier, J. I. M., Serra Bragança, F. M. & van der Zwaag, B. J.https://doi.org/10.1080/10255842.2022.2116885A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions (2022)Measurement, 201. Article 111597. Yu, X., Liang, Z., Wang, Y., Yin, H., Liu, X., Yu, W. & Huang, Y.https://doi.org/10.1016/j.measurement.2022.111597Contribution of freshwater metazooplankton to aquatic ecosystem services: an overview (2022)Hydrobiologia, 850(12-13), 2795-2810. Declerck, S. A. J. & de Senerpont Domis, L. N.https://doi.org/10.1007/s10750-022-05001-9A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models (2022)[Working paper › Preprint]. ArXiv.org. Karatsiolis, S. & Kamilaris, A.https://doi.org/10.48550/arXiv.2209.08906Pushing the limits of inertial motion sensing (2022)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Bosch, S.https://doi.org/10.3990/1.9789036554350Making waves: Lessons learned from the COVID-19 anthropause in the Netherlands on urban aquatic ecosystem services provisioning and management (2022)Water research, 223. Article 118934. Armstrong, M., Aksu Bahçeci, H., van Donk, E., Dubey, A., Frenken, T., Gebreyohanes Belay, B. M., Gsell, A. S., Heuts, T. S., Kramer, L., Lürling, M., Ouboter, M., Seelen, L. M. S., Teurlincx, S., Raman, N. V., Zhan, Q. & de Senerpont Domis, L. N.https://doi.org/10.1016/j.watres.2022.118934Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times (2022)[Working paper › Preprint]. ArXiv.org. Provoost, J. C., Kamilaris, A., Gidófalvi, G., Heijenk, G. J. & Wismans, L. J. J.https://doi.org/10.48550/arXiv.2208.14852ARISE: Building an infrastructure for species recognition and biodiversity monitoring in the Netherlands (2022)[Contribution to conference › Abstract] Biodiversity Information Standards, TDWG 2022. van Ommen Kloeke, E., Huijbers, C., Beentjes, K., Kamminga, J. W., Bakker, P. A. J. & Kissling, W. D.https://doi.org/10.3897/biss.6.93613A Review of Inspection Methods for Continuously Monitoring PVC Drinking Water Mains (2022)IEEE Internet of Things Journal, 9(16), 14336-14354. Article 2327-4662 . Tran, Q. C. V., Le, D. V., Yntema, D. R. & Havinga, P. J. M.https://doi.org/10.1109/JIOT.2021.3077246Quantitative detection of fatigue in sport horses using inertial sensors and machine learning (2022)Comparative Exercise Physiology, 18(Suppl. 1), S55-S55. Darbandi, H., Munsters, C. B. M., Parmentier, J. I. M. & Havinga, P. J. M.https://doi.org/10.3920/cep2022.s1Effects of 3D-printed horseshoes on kinematic hoof-parameters at trot on hard surface (2022)Comparative Exercise Physiology, 18(Suppl. 1), S73-S73. Parmentier, J. I. M., Malmei, S. N., Hartmann, M. & Brommer, H.https://doi.org/10.3920/cep2022.s1Improving the Annotation Efficiency for Animal Activity Recognition using Active Learning (2022)In Measuring Behavior 2022: 12th International Conference on Methods and Techniques in Behavioral Research, and 6th Seminar on Behavioral Methods (pp. 51-58). Spink, S., Kamminga, J. W. & Kamilaris, A.https://doi.org/10.6084/m9.figshare.20066849Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images (2022)[Working paper › Preprint]. ArXiv.org. Karatsiolis, S., Padubidri, C. & Kamilaris, A.https://doi.org/10.48550/arXiv.2205.04056A Machine Learning Approach to Analyze Rider's Effects on Horse Gait Using On-Body Inertial Sensors (2022)In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 (pp. 248-253). IEEE. Darbandi, H. & Havinga, P.https://doi.org/10.1109/PerComWorkshops53856.2022.9767228A Machine Learning Approach to Analyze Rider’s Effects on Horse Gait Using On-Body Inertial Sensors (2022)[Contribution to conference › Other] 20th International Conference on Pervasive Computing and Communications, PerCom 2022. Darbandi, H. & Havinga, P. J. M.https://www.bing.com/videos/search?q=A+Machine+Learning+Approach+to+Analyze+Rider%e2%80%99s+Effects+on+Horse+Gait+Using+On-Body+Inertial+Sensors&qpvt=A+Machine+Learning+Approach+to+Analyze+Rider%e2%80%99s+Effects+on+Horse+Gait+Using+On-Body+Inertial+Sensors&view=detail&mid=2D9C40DCF18A660190782D9C40DCF18A66019078&&FORM=VRDGAR&ru=%2Fvideos%2Fsearch%3Fq%3DA%2BMachine%2BLearning%2BApproach%2Bto%2BAnalyze%2BRider%25e2%2580%2599s%2BEffects%2Bon%2BHorse%2BGait%2BUsing%2BOn-Body%2BInertial%2BSensors%26qpvt%3DA%2BMachine%2BLearning%2BApproach%2Bto%2BAnalyze%2BRider%25e2%2580%2599s%2BEffects%2Bon%2BHorse%2BGait%2BUsing%2BOn-Body%2BInertial%2BSensors%26FORM%3DVDREEnergy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space (2022)IEEE Internet of Things Journal, 9(9), 6732-6744. 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Borsci, S., Lehtola, V. V., Nex, F. C., Yang, M. Y., Augustijn, P. W. M., Bagheriye, L., Brune, C., Kounadi, O., Li, J. J., Rebelo Moreira, J. L., Van der Nagel, J., Veldkamp, B. P., Le, D. V., Wang, M., Wijnhoven, F., Wolterink, J. M. & Zurita-Milla, R.https://doi.org/10.1007/s00146-021-01383-xA Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs (2022)In Proceedings of the 24th International Conference on Enterprise Information Systems (pp. 137-147) (International Conference on Enterprise Information Systems, ICEIS - Proceedings; Vol. 1). SCITEPRESS. Maneschijn, D. G. J. C., Bemthuis, R. H., Bukhsh, F. A. & Iacob, M.-E.https://doi.org/10.5220/0011029600003179A novel approximation scheme for floating-point square root and inverse square root for FPGAs (2022)In 2022 11th International Conference on Modern Circuits and Systems Technologies, MOCAST 2022. IEEE. Pennestri, P., Huang, Y. & Alachiotis, N.https://doi.org/10.1109/MOCAST54814.2022.9837550A Review on Key Performance Indicators for Climate Change (2022)In Advances and New Trends in Environmental Informatics: A Bogeyman or Saviour for the UN Sustainability Goals? (pp. 273–292). Springer. Schokker, J., Kamilaris, A. & Karatsiolis, S.https://doi.org/10.1007/978-3-030-88063-7_17Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning (2022)In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 (pp. 451-456). IEEE. Padubidri, C., Kamilaris, A. & Karatsiolis, S.https://doi.org/10.1109/PerComWorkshops53856.2022.9767451Accurate Horse Gait Event Estimation Using an Inertial Sensor Mounted on Different Body Locations (2022)In Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022 (pp. 329-335) (Proceedings IEEE International Conference on Smart Computing, SMARTCOMP; Vol. 2022). IEEE. Darbandi, H., Braganca, F. S., van der Zwaag, B. J. & Havinga, P.https://doi.org/10.1109/SMARTCOMP55677.2022.00076AI-Enabled Reliable QoS in Multi-RAT Wireless IoT Networks: Prospects, Challenges, and Future Directions (2022)IEEE Open Journal of the Communications Society, 3(2022), 1906 - 1929. Article 9924256. Zia, K., Chiumento, A. & Havinga, P. J. M.https://doi.org/10.1109/OJCOMS.2022.3215731Electrode positioning in the horse: towards standardisation of surface EMG measurements (2022)Comparative Exercise Physiology, 18(Suppl. 1), S101-S101. Smit, I. H., Parmentier, J. I. M., Spoormakers, T. J. P., Rovel, T. R. M., te Moller, N. C. R. & Serra Bragança, F. M.https://doi.org/10.3920/cep2022.s1Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images (2022)IEEE transactions on geoscience and remote sensing, 60. Article 4414213. Karatsiolis, S., Padubidri, C. & Kamilaris, A.https://doi.org/10.1109/TGRS.2022.3209340Prediction of kinetic parameters from body mounted IMU data using recurrent neural networks (2022)Comparative Exercise Physiology, 18(Suppl. 1), S45-S45. Parmentier, J. I. M., Zwaag, B. J. v. d., Weishaupt, M. A., Gmel, A. I., Havinga, P. J. M., van Weeren, P. R. & Serra Bragança, F. M.https://doi.org/10.3920/cep2022.s1Privacy-Preserving Presence Tracing for Pandemics Via Machine-to-Machine Exposure Notifications (2022)In Proceedings - 2022 23rd IEEE International Conference on Mobile Data Management, MDM 2022 (pp. 355-360) (Proceedings - IEEE International Conference on Mobile Data Management; Vol. 2022). IEEE. Laoudias, C., Raspopoulos, M., Christoforou, S. & Kamilaris, A.https://doi.org/10.1109/MDM55031.2022.00080Trade-Off Analysis of Pruning Methods for Compact Neural Networks on Embedded Devices (2022)In Internet of Things. IoT through a Multi-disciplinary Perspective: 5th IFIP International Cross-Domain Conference, IFIPIoT 2022, Amsterdam, The Netherlands, October 27–28, 2022, Proceedings (pp. 274-292) (IFIP Advances in Information and Communication Technology; Vol. 665). Springer. Hofstee, S. B. H. C. & Le, D. V.https://doi.org/10.1007/978-3-031-18872-5_16

2021

Counting sea lions and elephants from aerial photography using deep learning with density maps (2021)Animal Biotelemetry, 9(1), 1-10. Article 27. Padubidri, C., Kamilaris, A., Karatsiolis, S. & Kamminga, J.https://doi.org/10.1186/s40317-021-00247-xExamining the perspectives of using manure from livestock farms as fertilizer to crop fields based on a realistic simulation (2021)Computers and electronics in agriculture, 191. Article 106486. Kamilaris, A. & Prenafeta-Boldú, F. X.https://doi.org/10.1016/j.compag.2021.106486Implementing Industry 4.0 in Steel Manufacturing’s Evolving IIoT Systems (2021)Iron and Steel Technology, 18(9), 154-162. Article PR-TN1221-1. Schwarz, M., Anbalagan, S. N., Jagers, S. & Loendersloot, R.https://doi.org/10.33313/TR/1221Towards integration of logistics processes from a cloud/fog-edge computing perspective (2021)In 2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW) (pp. 349-355) (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW; Vol. 2021). IEEE. Mijuskovic, A.https://doi.org/10.1109/EDOCW52865.2021.00069A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture (2021)In IoT '21: Proceedings of the 11th International Conference on the Internet of Things (pp. 158-164). Association for Computing Machinery. Postmes, J., Botteghi, N., Sirmacek, B. & Kamilaris, A.https://doi.org/10.1145/3494322.3494352Deep neural networks to detectweeds from crops in agricultural environments in real-time: A review (2021)Remote sensing, 13(21). Article 4486. Rakhmatuiln, I., Kamilaris, A. & Andreasen, C.https://doi.org/10.3390/rs13214486Seeing with the sound: Sound-based human-context recognition using machine learning (2021)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Wang, W.https://doi.org/10.3990/1.9789036552936Implementation of Unobtrusive Sensing Systems for Older Adult Care: Scoping Review (2021)JMIR Aging, 4(4). Article e27862. Sharma, N., Klein Brinke, J., van Gemert-Pijnen, L. J. E. W. C. & Jansen, L.https://doi.org/10.2196/27862Aerial Vehicles Tracking Using Noncoherent Crowdsourced Wireless Networks (2021)IEEE transactions on vehicular technology, 70(10), 10780-10791. Article 9512485. Sallouha, H., Chiumento, A. & Pollin, S.https://doi.org/10.1109/TVT.2021.3103315Multi-Armed Bandits for Spectrum Allocation in Multi-Agent Channel Bonding WLANs (2021)IEEE Access, 9, 133472 - 133490. Barrachina-Munoz, S., Chiumento, A. & Bellalta, B.https://doi.org/10.1109/ACCESS.2021.3114430Partial Interference Suppression in Massive MIMO Systems: Taxonomy and Experimental Analysis (2021)IEEE Access, 9, 128925 - 128937. Guevara, A. P., Chen, C.-M., Chiumento, A. & Pollin, S.https://doi.org/10.1109/ACCESS.2021.3113167Stateless reinforcement learning for multi-agent systems: The case of spectrum allocation in dynamic channel bonding WLANs (2021)In Proceedings - 12th Wireless Days Conference, WD 2021 (IFIP Wireless Days; Vol. 2021-June). IEEE. Barrachina-Muñoz, S., Chiumento, A. & Bellalta, B.https://doi.org/10.1109/WD52248.2021.9508323Aerial Vehicles Tracking Using Noncoherent Crowdsourced Wireless Networks (2021)[Working paper › Preprint]. ArXiv.org. Sallouha, H., Chiumento, A. & Pollin, S.https://doi.org/10.48550/arXiv.2108.00922Nonlinear System Identification: Prediction Error Method vs Neural Network (2021)In 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE. Sun, J., Huang, Y., Yu, W. & Garcia-Ortiz, A.https://doi.org/10.1109/MOCAST52088.2021.9493336A Sensitivity Analysis on the Potential of 5G Channel Quality Prediction (2021)In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). Article 9448944 (IEEE Vehicular Technology Conference, VTC; Vol. 2021). IEEE. Anbalagan, S. N., Litjens, R., Das, K., Chiumento, A., Havinga, P. J. M. & van den Berg, H. L.https://doi.org/10.1109/VTC2021-Spring51267.2021.9448944Data underlying the paper: Using agent-based simulation for emergent behavior detection in cyber-physical systems (2021)[Dataset Types › Dataset]. 4TU.Centre for Research Data. 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Karatsiolis, S., Kamilaris, A. & Cole, I.https://doi.org/10.3390/rs13122417Combination of Task Allocation and Approximate Computing for Fog-Architecture-Based IoT (2021)IEEE Internet of Things Journal, 8(9), 7638-7648. Article 9272608. Yu, W., Najafi, A., Huang, Y. & Garcia-Ortiz, A.https://doi.org/10.1109/JIOT.2020.3040892CHIIoT: 1st Workshop on Computer Human Interaction in IoT Applications (2021)In EWSN '21: Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks, Delft The Netherlands - 17 February 2021 (pp. 198-201) (International Conference on Embedded Wireless Systems and Networks, EWSN; Vol. 2021). ACM Publishing. 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Brady, M. A., Ullah, I. & Havinga, P. J. M.https://doi.org/10.1109/CSP51677.2021.9357600EscapeWildFire: Assisting People to Escape Wildfires in Real-Time (2021)[Working paper › Preprint]. ArXiv.org. Kamilaris, A., Provoost, J., Filippi, J.-B., Padubidri, C., Karatsiolis, S., Cole, I., Couwenbergh, W. & Demetriou, E.https://doi.org/10.48550/arXiv.2102.11558Personal Hygiene Monitoring Under the Shower Using Wi-Fi Channel State Information (2021)In CHIIoT 2021: Workshops on Computer Human Interaction in IoT Applications. CEUR. Klein Brinke, J., Chiumento, A. & Havinga, P. J. M.http://ceur-ws.org/Vol-2996/Blockchain in agriculture (2021)[Working paper › Preprint]. ArXiv.org. Kamilaris, A., Cole, I. & Prenafeta-Boldú, F. X.https://doi.org/10.48550/arXiv.2102.09401Comparing Apples and Oranges in IoT context: A deep dive into methods for comparing IoT platforms (2021)IEEE Internet of Things Journal, 8(3), 1797-1816. Article 9169714. Mijuskovic, A., Ullah, I., Bemthuis, R., Meratnia, N. & Havinga, P. J. M.https://doi.org/10.1109/JIOT.2020.3016921EnviroInfo 2020: Environmental Informatics: New perspectives in Environmental Information Systems: Transport, Sensors, Recycling (2021)[Book/Report › Book editing] 34th International Conference on Environmental Information and Communication Technologies, EnviroInfo 2020. Shaker Publishing. Kamilaris, A., Wohlgemuth, V., Karatzas, K. D. & Athanasiadis, I. N.https://doi.org/10.2370/9783844076288Using different combinations of body-mounted IMU sensors to estimate speed of horses: A machine learning approach (2021)Sensors (Switzerland), 21(3). Article 798. Darbandi, H., Bragança, F. S., van der Zwaag, B. J., Voskamp, J., Gmel, A. I., Haraldsdóttir, E. H. & Havinga, P.https://doi.org/10.3390/s21030798Blockchain in agriculture (2021)In Food Technology Disruptions (pp. 247-284). Elsevier Doyma. Kamilaris, A., Cole, I. R. & Prenafeta-Boldú, F. X.https://doi.org/10.1016/B978-0-12-821470-1.00003-3Completely Automated CNN Architecture Design Based on VGG Blocks for Fingerprinting Localisation (2021)In 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Article 9662642 (International Conference on Indoor Positioning and Indoor Navigation (IPIN); Vol. 2021). IEEE. Shreya, S. & Le, D. V.https://doi.org/10.1109/IPIN51156.2021.9662642A Classification of Process Mining Bottleneck Analysis Techniques for Operational Support (2021)In Proceedings of the 18th International Conference on e-Business (ICE-B 2021) (pp. 127-135). SCITEPRESS. Bemthuis, R., van Slooten, N., Jayasinghe Arachchige, J., Piest, J. & Bukhsh, F. A.https://doi.org/10.5220/0010578601270135Advances and New Trends in Environmental Informatics: Digital Twins for Sustainability (2021)[Book/Report › Book editing] 34th International Conference on Environmental Information and Communication Technologies, EnviroInfo 2020. Springer. Kamilaris, A., Wohlgemuth, V., Karatzas, K. & Athanasiadis, I. N.https://doi.org/10.1007/978-3-030-61969-5Can Animal Manure Be Used to Increase Soil Organic Carbon Stocks in the Mediterranean as a Mitigation Climate Change Strategy? (2021)In Advances and New Trends in Environmental Informatics: Digital Twins for Sustainability (pp. 227–241) (Progress in IS). Springer. Kamilaris, A., Funes Mesa, I., Savé, R., De Herralde, F. & Prenafeta-Boldú, F. X.https://doi.org/10.1007/978-3-030-61969-5_16Identification of Tree Species in Japanese Forests Based on Aerial Photography and Deep Learning (2021)In Advances and New Trends in Environmental Informatics: Digital Twins for Sustainability (pp. 255–270) (Progress in IS). Springer. Kentsch, S., Karatsiolis, S., Kamilaris, A., Tomhave, L. & Lopez Caceres, M. L.https://doi.org/10.1007/978-3-030-61969-5_18Investigation of donkey milk bacterial diversity by 16S rDNA high-throughput sequencing on a Cyprus donkey farm (2021)Journal of dairy science, 104(1), 167-178. Papademas, P., Kamilari, E., Aspri, M., Anagnostopoulos, D. A., Mousikos, P., Kamilaris, A. & Tsaltas, D.https://doi.org/10.3168/jds.2020-19242Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning (2021)In Computer Analysis of Images and Patterns: 19th International Conference, CAIP 2021, Virtual Event, September 28–30, 2021, Proceedings, Part II (pp. 24-35) (Lecture Notes in Computer Science; Vol. 13053). Springer. Kalita, I., Karatsiolis, S. & Kamilaris, A.https://doi.org/10.1007/978-3-030-89131-2_3Technical Report of validation and comparison of two methods for estimating pelvis roll angle of horses using inertial measurement units and motion capture system (2021)[Book/Report › Report]. University of Twente. Darbandi, H.https://doi.org/10.3990/1.9789036551403

2020

Highly energy efficient animal mobility driven BLE beacon advertising control for wildlife monitoring (2020)In SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings. Article 09275660 (IEEE International Systems Conference (SysCon); Vol. 2020). IEEE. Ayele, E. & Seraj, F.https://doi.org/10.1109/SysCon47679.2020.9275660Predicting parking occupancy via machine learning in the web of things (2020)Internet of Things, 12, 100301. Provoost, J. C., Kamilaris, A., Wismans, L. J. J., van der Drift, S. J. & van Keulen, M.https://doi.org/10.1016/j.iot.2020.100301The penetration of Internet of Things in robotics: Towards a web of robotic things (2020)Journal of ambient intelligence and smart environments, 12(6), 491-512. Kamilaris, A. & Botteghi, N.https://doi.org/10.3233/AIS-200582PrimaVera: Synergising Predictive Maintenance (2020)Applied Sciences, 10(23), 1-19. Article 8348. 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Mijuskovic, A., Bemthuis, R., Aldea, A. I. & Havinga, P. J. M.https://doi.org/10.1109/EDOCW49879.2020.00021Demonstrating the architecture for situation-aware logistics using smart returnable assets (2020)In IEEE 24th International Enterprise Distributed Object Computing Workshop, EDOCW 2020 (pp. 86-90). Article 9233229. IEEE. Piest, J. P. S., Bemthuis, R. & Charismadiptya, G.https://doi.org/10.1109/EDOCW49879.2020.00024iMAC: Implicit Message Authentication Code for IoT Devices (2020)In 2020 IEEE 6th World Forum on Internet of Things (WF-IoT). IEEE. Ullah, I., Meratnia, N. & Havinga, P. J. M.https://doi.org/10.1109/WF-IoT48130.2020.9221331TAAC: Task Allocation Meets Approximate Computing for Internet of Things (2020)In 2020 IEEE International Symposium on Circuits and Systems (ISCAS). Article 9180895 (IEEE International Symposium on Circuits and Systems (ISCAS); Vol. 2020). IEEE. Yu, W., Najafi, A., Nevarez, Y., Huang, Y. & Garcia-Ortiz, A.https://doi.org/10.1109/ISCAS45731.2020.9180895Hiding in the Deep: Online Animal Activity Recognition using Motion Sensors and Machine Learning (2020)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Kamminga, J. W.https://doi.org/10.3990/1.9789036550550Investigation of the Cyprus donkey milk bacterial diversity by 16SrDNA high-throughput sequencing in a Cyprus donkey farm (2020)[Working paper › Preprint]. ArXiv.org. Papademas, P., Kamilari, E., Aspri, M., Anagnostopoulos, D. A., Mousikos, P., Kamilaris, A. & Tsaltas, D.https://doi.org/10.48550/arXiv.2009.02156Towards Deep Unsupervised Representation Learning from Accelerometer Time Series for Animal Activity Recognition (2020)[Contribution to conference › Paper] 6th Workshop on Mining and Learning from Time Series, MiLeTS 2020. Kamminga, J. W., Meratnia, N., Le, D. V. & Havinga, P. J. M.e-Sight: Real-time cloud platform for visualizing edge transport infrastructure information (2020)In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). Article 9156181. IEEE. Jansen, M. & Seraj, F.https://doi.org/10.1109/PerComWorkshops48775.2020.9156181k-SpecNET: Localization and classification of indoor superimposed sound for acoustic sensor networks (2020)In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). Article 9156174. IEEE. Wang, W., Seraj, F. & Havinga, P. J. M.https://doi.org/10.1109/PerComWorkshops48775.2020.9156174Multi-Agent Path Planning of Robotic Swarms in Agricultural Fields (2020)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume V-1-2020 (pp. 361-368). International Society for Photogrammetry and Remote Sensing (ISPRS). Botteghi, N., Kamilaris, A., Sinai, L. & Sirmaçek, B.https://doi.org/10.5194/isprs-annals-V-1-2020-361-2020Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach (2020)[Contribution to conference › Paper] XXIVth ISPRS Congress 2020. Kamilaris, A., Engelbrecht, A., Pitsillides, A. & Prenafeta-Boldú, F. X.https://doi.org/10.5194/isprs-Annals-V-4-2020-139-2020Transfer of manure as fertilizer from livestock farms to crop fields: The case of Catalonia (2020)Computers and electronics in agriculture, 175. Article 105550. Kamilaris, A., Engelbrecht, A., Pitsillides, A. & Prenafeta-Boldú, F. X.https://doi.org/10.1016/j.compag.2020.105550Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning (2020)[Working paper › Preprint]. ArXiv.org. Kentsch, S., Karatsiolis, S., Kamilaris, A., Tomhave, L. & Lopez Caceres, M. L.https://doi.org/10.48550/arXiv.2007.08907A sound-based crowd activity recognition with neural network based regression models (2020)In PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference (pp. 126-133). Article 3389196. ACM SigCHI. Wang, W., Seraj, F. & Havinga, P. J. M.https://doi.org/10.1145/3389189.3389196An embedded wearable device for monitoring diabetic foot ulcer parameters (2020)In PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments. Article 47. ACM SigCHI. Kulkarni, V. V., Seraj, F. & Rathikumar, J. R.https://doi.org/10.1145/3389189.3397982Speaker Counting Model based on Transfer Learning from SincNet Bottleneck Layer (2020)In 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom) (pp. 1). Article 9127390 (Annual IEEE International Conference on Pervasive Computing and Communications (PerCom); Vol. 2020). IEEE. Wang, W., Seraj, F., Meratnia, N. & Havinga, P. J. M.https://doi.org/10.1109/PerCom45495.2020.9127390Towards Factory Schedule based Adaptation for Reliable Networking in Industrial IoT (2020)In 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings (pp. 1115-1120). Article 9152553 (IEEE International Symposium on Industrial Electronics; Vol. 2020-June). IEEE. Anbalagan, S. N., Seraj, F. & Havinga, P.https://doi.org/10.1109/ISIE45063.2020.9152553Transfer of Manure as Fertilizer from Livestock Farms to Crop Fields: The Case of Catalonia (2020)[Working paper › Preprint]. ArXiv.org. Kamilaris, A., Engelbrecht, A., Pitsillides, A. & Prenafeta-Boldú, F. X.https://doi.org/10.48550/arXiv.2006.09122Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach (2020)[Working paper › Preprint]. ArXiv.org. Kamilaris, A., Engelbrecht, A., Pitsillides, A. & Prenafeta-Boldú, F. X.https://doi.org/10.48550/arXiv.2006.04573Automatic hoof-on and -off detection in horses using hoof-mounted inertial measurement unit sensors (2020)PLoS ONE, 15(6). Article e0233266. Tijssen, M., Hernlund, E., Rhodin, M., Bosch, S., Voskamp, J. P., Nielen, M. & Serra Bragança, F. M.https://doi.org/10.1371/journal.pone.0233266Data underlying the paper: Towards Factory Schedule based Adaptation for Reliable Networking in Industrial IoT (2020)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Anbalagan, S. N. & Klein Brinke, J.https://doi.org/10.4121/uuid:31f9e127-4285-4ab3-a242-2e57c7e67430Automatic detection of break-over phase onset in horses using hoof-mounted inertial measurement unit sensors (2020)PLoS ONE, 15(5). Article e0233649. Tijssen, M., Hernlund, E., Rhodin, M., Bosch, S., Voskamp, J. P., Nielen, M. & Serra Bragança, F. M.https://doi.org/10.1371/journal.pone.0233649Characterizing halloumi cheese's bacterial communities through metagenomic analysis (2020)LWT - Food Science and Technology, 126. Article 109298. Kamilari, E., Anagnostopoulos, D. A., Papademas, P., Kamilaris, A. & Tsaltas, D.https://doi.org/10.1016/j.lwt.2020.109298Characterizing Halloumi cheese’s bacterial communities through metagenomic analysis (2020)[Working paper › Preprint]. ArXiv.org. Kamilari, E., Anagnostopoulos, D. A., Papademas, P., Kamilaris, A. & Tsaltas, D.https://doi.org/10.48550/arXiv.2004.01710Unsupervised learning of wildlife behaviour for activity-driven opportunistic beacon networks (2020)In 2019 13th International Conference on Sensing Technology (ICST). Article 9047671 (Proceedings International Conference on Sensing Technology (ICST); Vol. 2019). IEEE. Seraj, F., Ayele, E. & Meratnia, N.https://doi.org/10.1109/ICST46873.2019.9047671Localization and classification of overlapping sound events based on spectrogram-keypoint using acoustic-sensor-network data (2020)In 2019 IEEE International Conference on Internet of Things and Intelligence System (IoTaIS) (pp. 49-55). Article 8980421. IEEE. Wang, W., Seraj, F., Meratnia, N. & Havinga, P. J. M.https://doi.org/10.1109/IoTaIS47347.2019.8980421The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things (2020)[Working paper › Working paper]. ArXiv.org. Kamilaris, A. & Botteghi, N.https://arxiv.org/abs/2001.05514A High-Quality Finger Vein Dataset Collected Using a Custom-Designed Capture Device (2020)In Handbook of Vascular Biometrics (pp. 63-75) (Advances in Computer Vision and Pattern Recognition). Springer. Veldhuis, R., Spreeuwers, L., Ton, B. & Rozendal, S.https://doi.org/10.1007/978-3-030-27731-4_2A Process Mining Starting Guideline for Process Analysts and Process Owners: A Practical Process Analytics Guide using ProM (2020)[Book/Report › Report]. Yasmin, F. A., Bemthuis, R., Elhagaly, M., Wijnhoven, F. & Bukhsh, F. A.Entropy as a Service: A Lightweight Random Number Generator for Decentralized IoT Applications (2020)[Contribution to conference › Paper] 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom 2020. Ullah, I., Meratnia, N. & Havinga, P. J. M.https://doi.org/10.1109/PerComWorkshops48775.2020.9156205Internet of Things (2020)In Manual of Digital Earth (pp. 387-423). Springer. Granell, C., Kamilaris, A., Kotsev, A., Ostermann, F. O. & Trilles, S.https://doi.org/10.1007/978-981-32-9915-3_11SATA: An intelligent security aware task allocation for multihop wireless networks (2020)In 2020 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020. Article 9200239. IEEE. Yu, W., Akinlolu, O., Sander, Y., Huang, Y. & Garcia-Ortiz, A.https://doi.org/10.1109/MOCAST49295.2020.9200239

2019

Internet of Things in Geospatial Analytics (2019)[Working paper › Preprint]. ArXiv.org. Granell, C., Kamilaris, A., Kotsev, A., Ostermann, F. O. & Trilles, S.https://doi.org/10.48550/arXiv.1912.01501Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques (2019)[Contribution to conference › Paper] 99th Transportation Research Board (TRB) Annual Meeting 2020. Provoost, J., Wismans, L., van der Drift, S., van Keulen, M. & Kamilaris, A.https://doi.org/10.48550/arXiv.1911.13178Dataset: Horse Movement Data and Analysis of its Potential for Activity Recognition (2019)[Contribution to conference › Paper] 2nd Workshop on Data Acquisition To Analysis, DATA 2019. Kamminga, J. W., Meratnia, N. & Havinga, P. J. M.https://doi.org/10.1145/3359427.3361908Synchronization between Sensors and Cameras in Movement Data Labeling Frameworks (2019)In DATA'19: Proceedings of the 2nd Workshop on Data Acquisition To Analysis (pp. 37-39). Kamminga, J. W., Jones, M., Seppi, K., Meratnia, N. & Havinga, P. J. M.https://doi.org/10.1145/3359427.3361920Two Sided Earthing Versus one Sided Earthing for Ethernet Cables (2019)In 2019 International Symposium on Electromagnetic Compatibility - EMC EUROPE (pp. 619-624). Article 8872004 (EMC Europe 2019 - 2019 International Symposium on Electromagnetic Compatibility). IEEE. Wang, W., Keyer, C., Hartman, T. & van der Ven, J.-K.https://doi.org/10.1109/EMCEurope.2019.8872004Channel State Information (CSI) analysis for predictive maintenance using Convolutional Neural Network (CNN) (2019)[Dataset Types › Dataset]. Zenodo. Bagave, P., Linssen, J., Teeuw, W., Klein Brinke, J. & Meratnia, N.https://doi.org/10.5281/zenodo.3452875The rise of blockchain technology in agriculture and food supply chains (2019)Trends in Food Science and Technology, 91, 640-652. Kamilaris, A., Fonts, A. & Prenafeta-Boldύ, F. X.https://doi.org/10.1016/j.tifs.2019.07.034Data underlying the paper: An agent-based process mining architecture for emergent behavior analysis (2019)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Bemthuis, R., Koot, M., Mes, M. R. K., Bukhsh, F. A., Iacob, M. E. & Meratnia, N.https://doi.org/10.4121/uuid:9e430177-1dd0-40e9-b48a-8eb39124ef4cTraining Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles (2019)[Working paper › Preprint]. ArXiv.org. Kamilaris, A., van den Brink, C. & Karatsiolis, S.https://doi.org/10.48550/arXiv.1908.06472How to break IOTA heart by replaying? (2019)In 2018 IEEE Globecom Workshops (GC Wkshps). de Roode, G., Ullah, I. & Havinga, P. J. M.https://doi.org/10.1109/GLOCOMW.2018.8644437

2018

Geospatial Analysis and Internet of Things in Environmental Informatics (2018)[Contribution to conference › Paper] 32nd EnviroInfo 2018. Kamilaris, A. & Ostermann, F.https://doi.org/10.48550/arXiv.1808.01895Should interference be avoided? Charging WSNs with efficient placement of wireless chargers (2018)IEEE Access, 6, 54876-54883. Article 8452899. Guo, P., Liu, X., Chen, M. & Zhang, K.https://doi.org/10.1109/ACCESS.2018.2868223A Review on the Application of Natural Computing in Environmental Informatics (2018)[Contribution to conference › Paper] 32nd EnviroInfo 2018. Kamilaris, A.https://doi.org/10.48550/arXiv.1808.00260Coalition formation based compressive sensing in wireless sensor networks (2018)Sensors (Switzerland), 18(7). Article 2331. Masoum, A., Meratnia, N. & Havinga, P. J. M.https://doi.org/10.3390/s18072331An Analysis of Tophat: A Fast Splice Junction Mapper for RNA-Sequencing (2018)In ICBBT 2018 - 2018 10th International Conference on Bioinformatics and Biomedical Technology (pp. 37-41). Association for Computing Machinery. Khan, B., Hasan, L., Wadud, Z., Bangash, M. Y. & Ullah, I.https://doi.org/10.1145/3232059.3232066Smokesense: Online activity recognition framework on smartwatches (2018)In Mobile Computing, Applications, and Services - 9th International Conference, MobiCASE 2018, Proceedings (pp. 106-124) (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 240). Springer. Shoaib, M., Incel, O. D., Scholten, H. & Havinga, P.https://doi.org/10.1007/978-3-319-90740-6_7

2017

Impact of multiple sound types on environmental sound classification (2017)In 2016 IEEE Sensors - Proceedings. Article 7808723 (Proceedings of IEEE Sensors; Vol. 2016). IEEE. Salomons, E. L., Van Leeuwen, H. & Havinga, P. J. M.https://doi.org/10.1109/ICSENS.2016.7808723

2016

Validation of distal limb mounted inertial measurement unit sensors for stride detection in Warmblood horses at walk and trot (2016)Equine veterinary journal, 49(4). Braganca, F. M., Bosch, S., Voskamp, J. P., Marin-Perianu, M., van der Zwaag, B. J., Vernooij, J. C. M., van Weeren, P. R. & Back, W.https://doi.org/10.1111/evj.12651Mobile Phone Computing and the Internet of Things: A Survey (2016)IEEE Internet of Things Journal, 3(6), 885-898. Article 7544470. Kamilaris, A. & Pitsillides, A.https://doi.org/10.1109/JIOT.2016.2600569Inferring human activity recognition with ambient sound on wireless sensor nodes (2016)Sensors (Switzerland), 16(10). Article 1586. Salomons, E. L., Havinga, P. J. M. & van Leeuwen, H.https://doi.org/10.3390/s16101586Decentralized Network-level Synchronization in Mobile Ad Hoc Networks (2016)ACM transactions on sensor networks, 12(1), 5. Voulgaris, S., Dobson, M. & van Steen, M.https://doi.org/10.1145/2880223

2015

Filters for Wi-Fi Generated Crowd Movement Data (2015)In Proceedings of the 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2015) (pp. 285-290). IEEE. Chilipirea, C., Petre, A.-C., Dobre, C. & van Steen, M.https://doi.org/10.1109/3PGCIC.2015.36Proximity Graphs for Crowd Movement Sensors (2015)In Proceedings of the 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2015) (pp. 310-314). IEEE. Chilipirea, C., Petre, A.-C., Dobre, C. & van Steen, M.https://doi.org/10.1109/3PGCIC.2015.147OPS: Opportunistic pipeline scheduling in long-strip wireless sensor networks with unreliable links (2015)Wireless networks, 21(5), 1669-1682. Guo, P., Meratnia, N., Havinga, P. J. M., Jiang, H. & Zhang, K.https://doi.org/10.1007/s11276-014-0807-xDynamic Resource Allocation and Self-Organizing Signalling Optimisation in LTE-A Downlink (2015)[Thesis › PhD Thesis - Research external, graduation external]. Chiumento, A.Proteus II: Design and Evaluation of an Integrated Power-Efficient Underwater Sensor Node (2015)International journal of distributed sensor networks, 2015. Article 791046. van Kleunen, W. A. P., Moseley, N. A., Havinga, P. J. M. & Meratnia, N.https://doi.org/10.1155/2015/791046

2014

Satellite - derived NDVI outperformed temperature acceleration for predicting the timing of geese spring migration (2014)[Contribution to conference › Abstract] Zoological Society of London symposium. Najafabadi, M. S., Darvishzadeh, R., Skidmore, A. K., Kolzsch, A., Vrieling, A., Toxopeus, A. G., Exo, K. M., Meratnia, N., Havinga, P., Stahl, J. & Nolet, B. A.http://www.itc.nl/library/papers_2014/pres/shariatinajafabadi_sat_abs.pdf

2013

ESTHER: A portable sensor toolkit to collect and monitor total hip replacement patient data (2013)In Proceedings of the 3rd ACM MobiHoc Workshop on Pervasive Wireless Healthcare (MobileHealth ’13) (pp. 7-12). Association for Computing Machinery. Jimenez Garcia, J., Romero, N. A., Boerema, S. T., Keyson, D. & Havinga, P.https://doi.org/10.1145/2491148.2491151

2012

Joint ERCIM eMobility and MobiSense Workshop (2012)[Book/Report › Book editing] Joint ERCIM eMobility and MobiSense Workshop 2012. University of Bern. Dimitrova, D., Brogle, M., Braun, T., Heijenk, G. & Meratnia, N.Persona-based adaptation in a smart green home (2012)In Proceedings - 8th International Conference on Intelligent Environments, IE 2012 (pp. 355-358). Article 6258551. IEEE. Salomons, E., Teeuw, W., van Leeuwen, H. & Havinga, P.https://doi.org/10.1109/IE.2012.23

2011

Analysis of Utility-Based Data Dissemination Approaches in VANETs (2011)In 2011 IEEE Vehicular Technology Conference Fall: Proceedings : San Francisco, California, 5-8 September 2011 (pp. 1-5) (IEEE Vehicular Technology Conference (VTC); Vol. 2011). IEEE. Schwartz, R. S., Ohazulike, A. E., van Dijk, H. W. & Scholten, H.https://doi.org/10.1109/VETECF.2011.6093074Analysis of Mobile WSNs over IP (2011)In Proceedings of the 3rd Wireless World Workshop (W3) (CTIT workshop proceedings series; Vol. WP 11-05). Centre for Telematics and Information Technology (CTIT). Bijwaard, D. J. A., Havinga, P. J. M. & Eertink, H.https://www.persistent-identifier.nl/urn:nbn:nl:ui:28-79783

2007

Can overwintering versus diapausing strategy in Daphnia determine match-mismatch events in zooplankton-algae interactions? (2007)Oecologia, 150(4), 682-698. de Senerpont Domis, L. N., Mooij, W. M., Hülsmann, S., van Nes, E. H. & Scheffer, M.https://doi.org/10.1007/s00442-006-0549-2

2002

Aggregation and comparison of trajectories (2002)In GIS '02: Proceedings of the 10th ACM International Symposium on Advances in Geographic Information Systems ACM-GIS, McLean, 8-9 November 2002 (pp. 49-54). Association for Computing Machinery. Meratnia, N. & de By, R. A.https://doi.org/10.1145/585147.585158
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