Research output per year
Research output per year
Personal profile
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Dive into the research topics where Jeroen Klein Brinke is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Research output
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One-Sided CSI-Based Sensing in Adversarial Through-Wall Settings
Bakanas, V. & Klein Brinke, J., 3 Jan 2026, Sensor-Based Activity Recognition and Artificial Intelligence - 10th International Workshop, iWOAR 2025, Proceedings: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings. Durmaz Incel, Ö., Qin, J., Bieber, G. & Kuijper, A. (eds.). 1 ed. Cham: Springer, p. 1-19 19 p. (Lecture Notes in Computer Science; vol. 16292).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Towards Edge-Based Idle State Detection in Construction Machinery Using Surveillance Cameras
Kupers, X., Klein Brinke, J., Bemthuis, R. & Durmaz - Incel, Ö., 2025, Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys). Arai, K. (ed.). Springer, Vol. 2. p. 402-418 17 p. (Lecture Notes in Networks and Systems; vol. 1567).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
2 Downloads (Pure) -
Towards Edge-Based Idle State Detection in Construction Machinery Using Surveillance Cameras
Küpers, X., Klein Brinke, J., Bemthuis, R. H. & Durmaz - Incel, Ö., 1 Jun 2025, ArXiv.org, 18 p.Research output: Working paper › Preprint › Academic
Open AccessFile74 Downloads (Pure) -
Variable Packet Arrival Rates and Activity Durations in Human Activity Recognition with Wi-Fi Channel State Information
Klein Brinke, J. & Chiumento, A., 3 Sept 2025, Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys). Arai, K. (ed.). Springer, Vol. 1553. p. 559-576 18 p. (Lecture Notes in Networks and Systems; vol. 1553).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Interwoven Waves: Enhancing the Scalability and Robustness of Wi-Fi Channel State Information for Human Activity Recognition
Klein Brinke, J., 7 Jun 2024, Enschede: University of Twente. 216 p.Research output: Thesis › PhD Thesis - Research UT, graduation UT
Open AccessFile480 Downloads (Pure)
Datasets
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Channel state information (WiFi traces) for 6 activities
Klein Brinke, J. (Creator), 4TU.Centre for Research Data, 5 Sept 2019
DOI: 10.4121/uuid:42bffa4c-113c-46eb-84a1-c87b6a31a99f
Dataset
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Data underlying the paper: Towards Factory Schedule based Adaptation for Reliable Networking in Industrial IoT
Anbalagan, S. N. (Creator) & Klein Brinke, J. (Contributor), 4TU.Centre for Research Data, 12 May 2020
DOI: 10.4121/uuid:31f9e127-4285-4ab3-a242-2e57c7e67430
Dataset
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Channel State Information (CSI) analysis for predictive maintenance using Convolutional Neural Network (CNN)
Bagave, P. (Creator), Linssen, J. (Creator), Teeuw, W. (Creator), Klein Brinke, J. (Creator) & Meratnia, N. (Creator), Zenodo, 20 Sept 2019
DOI: 10.5281/zenodo.3452875, https://zenodo.org/record/3452875 and 2 more links, https://doi.org/10.5281/zenodo.3452876, https://zenodo.org/record/3452876 (show fewer)
Dataset