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J. Klein Brinke MSc (Jeroen)

Promovendus

Expertises

Engineering & Materials Science
Channel State Information
Convolutional Neural Networks
Information Analysis
Predictive Maintenance
Remote Sensing
Transfer Learning
Medicine & Life Sciences
Digital Libraries
Technology

Publicaties

Recent
Klein Brinke, J. , Chiumento, A. , & Havinga, P. J. M. (2021). Personal Hygiene Monitoring Under the Shower Using Wi-Fi Channel State Information. In R-H. Liang, A. Chiumento, P. Pawełczak, & M. Funk (Eds.), CHIIoT 2021: Workshops on Computer Human Interaction in IoT Applications CEUR. http://ceur-ws.org/Vol-2996/
Bagave, P., Linssen, J., Teeuw, W. , Klein Brinke, J. , & Meratnia, N. (2019). Channel State Information (CSI) analysis for Predictive Maintenance using Convolutional Neural Network (CNN). In DATA'19: Proceedings of the 2nd Workshop on Data Acquisition To Analysis (pp. 51-56). https://doi.org/10.1145/3359427.3361917
Klein Brinke, J. , & Meratnia, N. (2019). Scaling Activity Recognition Using Channel State Information Through Convolutional Neural Networks and Transfer Learning. In AIChallengeIoT ’19: International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (pp. 56-62). https://doi.org/10.1145/3363347.3363362
Klein Brinke, J. , & Meratnia, N. (2019). Dataset: Channel State Information for Different Activities, Participants and Days. In DATA’19: Proceedings of the Second Workshop on Data Acquisition To Analysis (pp. 61-64). ACM Press. https://doi.org/10.1145/3359427.3361913

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Verbonden aan Opleidingen

Bachelor

Master

Vakken Collegejaar  2021/2022

Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (gebouwnr. 11), kamer 5032
Hallenweg 19
7522NH  Enschede

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Postadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  5032
Postbus 217
7500 AE Enschede

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