| Predicting air compressor failures using long short term memory networks K Chen, S Pashami, Y Fan, S Nowaczyk Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019 | 26 | 2019 |
| Semi-supervised learning for forklift activity recognition from controller area network (CAN) signals K Chen, T Rögnvaldsson, S Nowaczyk, S Pashami, E Johansson, ... Sensors 22 (11), 4170, 2022 | 3 | 2022 |
| Forklift truck activity recognition from can data K Chen, S Pashami, S Nowaczyk, E Johansson, G Sternelöv, ... IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020 | 2 | 2020 |
| Material handling machine activity recognition by context ensemble with gated recurrent units K Chen, T Rögnvaldsson, S Nowaczyk, S Pashami, J Klang, G Sternelöv Engineering applications of artificial intelligence 126, 106992, 2023 | 1 | 2023 |
| Recurrent Neural Networks for Fault Detection: An exploratory study on a dataset about air compressor failures of heavy duty trucks K Chen | 1 | 2018 |
| Toward Solving Domain Adaptation with Limited Source Labeled Data K Chen, T Rögnvaldsson, S Nowaczyk, S Pashami, J Klang, G Sternelöv 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1240-1246, 2023 | | 2023 |
| Learning Representations for Machine Activity Recognition K Chen Halmstad University Press, 2022 | | 2022 |
