Onderzoeker
Pieter Moens
- Trefwoorden:Dynamisch dashboard, Aanbevelingssystemen
- Disciplines:Machine learning en besluitvorming, Beslissings- en groepsondersteunende systemen, Cloud computing, Datamining
Affiliaties
- Vakgroep Elektronica en Informatiesystemen (Departement)
Lid
Vanaf8 jul 2019 → Heden
Publicaties
1 - 9 van 9
- Edge anomaly detection framework for AIOps in Cloud and IoT(2023)
Auteurs: Pieter Moens, Bavo Andriessen, Merlijn Sebrechts, Bruno Volckaert, Sofie Van Hoecke
Pagina's: 204 - 211 - A microservice architecture for leak localization in water distribution networks using hybrid AI(2023)
Auteurs: Ganjour Mazaev, Michael Weyns, Pieter Moens, Pieter Jan Haest, Filip Vancoillie, Guido Vaes, Joeri Debaenst, Aagje Waroux, Kris Marlein, Femke Ongenae, et al.
Pagina's: 851 - 866 - A semi-supervised approach with monotonic constraints for improved remaining useful life estimation(2022)
Auteurs: Diego Nieves Avendano, Nathan Vandemoortele, Colin Soete, Pieter Moens, Agusmian Partogi Ompusunggu, Dirk Deschrijver, Sofie Van Hoecke
- From self-reporting to monitoring for improved migraine management(2022)
Auteurs: Jonas Van Der Donckt, Mathias De Brouwer, Pieter Moens, Marija Stojchevska, Bram Steenwinckel, Stef Pletinck, Nicolas Vandenbussche, Annelis Goris, Koen Paemeleire, Femke Ongenae, et al.
Aantal pagina's: 1 - FLAGS : a methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning(2021)
Auteurs: 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, et al.
Pagina's: 30 - 48 - Event-driven dashboarding and feedback for improved event detection in predictive maintenance applications(2021)
Auteurs: Pieter Moens, Sander Vanden Hautte, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Steven Vandekerckhove, Femke Ongenae, Sofie Van Hoecke
- A complete software stack for IoT time-series analysis that combines semantics and machine learning-lessons learned from the dyversify project(2021)
Auteurs: Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel, Pieter Moens, Jasper Vaneessen, Steven Vandekerckhove, Bruno Volckaert, Femke Ongenae, Sofie Van Hoecke
- Scalable fleet monitoring and visualization for smart machine maintenance and industrial IoT applications(2020)
Auteurs: Pieter Moens, Vincent Bracke, Colin Soete, Sander Vanden Hautte, Ted Ooijevaar, Steven Devos, Bruno Volckaert, Sofie Van Hoecke
- A dynamic dashboarding application for fleet monitoring using semantic web of things technologies(2020)
Auteurs: Sander Vanden Hautte, Pieter Moens, Joachim Van Herwegen, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Femke Ongenae, Sofie Van Hoecke, Danh Le Phuoc, Arne Bröring, et al.