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2020 – today
- 2023
[c1]Pieter Moens
, Bavo Andriessen, Merlijn Sebrechts, Bruno Volckaert, Sofie Van Hoecke:
Edge Anomaly Detection Framework for AIOps in Cloud and IoT. CLOSER 2023: 204-211- 2022
- [j4]Diego Nieves Avendano, Nathan Vandermoortele, Colin Soete, Pieter Moens, Agusmian Partogi Ompusunggu, Dirk Deschrijver, Sofie Van Hoecke:
A Semi-Supervised Approach with Monotonic Constraints for Improved Remaining Useful Life Estimation. Sensors 22(4): 1590 (2022) - 2021
- [j3]Bram Steenwinckel, Dieter De Paepe, Sander Vanden Hautte, Pieter Heyvaert, Mohamed Bentefrit, Pieter Moens, Anastasia Dimou, Bruno Van Den Bossche, Filip De Turck, Sofie Van Hoecke, Femke Ongenae:
FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning. Future Gener. Comput. Syst. 116: 30-48 (2021) - 2020
- [j2]Sander Vanden Hautte, Pieter Moens, Joachim Van Herwegen, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Femke Ongenae, Sofie Van Hoecke:
A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies. Sensors 20(4): 1152 (2020) - [j1]Pieter Moens, Vincent Bracke, Colin Soete, Sander Vanden Hautte, Diego Nieves Avendano, Ted Ooijevaar, Steven Devos, Bruno Volckaert, Sofie Van Hoecke:
Scalable Fleet Monitoring and Visualization for Smart Machine Maintenance and Industrial IoT Applications. Sensors 20(15): 4308 (2020)
Coauthor Index
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