Jeroen Klein Brinke

Internal PhD Candidate, Digital Society Institute
Internal PhD Candidate, Pervasive Systems

Research output per year

If you made any changes in Pure these will be visible here soon.

Fingerprint

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.

15 Similar Profiles

Network

Recent external collaboration on country level. Dive into details by clicking on the dots.

3 Conference contribution

Channel State Information (CSI) analysis for Predictive Maintenance using Convolutional Neural Network (CNN)
Bagave, P., Linssen, J., Teeuw, W., Klein Brinke, J. & Meratnia, N., 2019, DATA'19: Proceedings of the 2nd Workshop on Data Acquisition To Analysis. New York, p. 51-56 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
2 Citations (Scopus)
Dataset: Channel State Information for Different Activities, Participants and Days
Klein Brinke, J. & Meratnia, N., 10 Nov 2019, DATA’19: Proceedings of the Second Workshop on Data Acquisition To Analysis. New York, NY: ACM Press, p. 61-64 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Open Access
File
2 Citations (Scopus)

134 Downloads (Pure)
Scaling Activity Recognition Using Channel State Information Through Convolutional Neural Networks and Transfer Learning
Klein Brinke, J. & Meratnia, N., 2019, AIChallengeIoT ’19: International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things. New York, NY, p. 56-62 7 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus)

3 Downloads (Pure)

Channel state information (WiFi traces) for 6 activities
Klein Brinke, J. (Creator), 4TU.Centre for Research Data, 5 Sep 2019
DOI: 10.4121/uuid:42bffa4c-113c-46eb-84a1-c87b6a31a99f
Dataset
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

Channel State Information (CSI) analysis for Predictive Maintenance using Convolutional Neural Network (CNN)

Dataset: Channel State Information for Different Activities, Participants and Days

Scaling Activity Recognition Using Channel State Information Through Convolutional Neural Networks and Transfer Learning

Channel state information (WiFi traces) for 6 activities

Data underlying the paper: Towards Factory Schedule based Adaptation for Reliable Networking in Industrial IoT