Artificial surrogate model for computational fluid dynamics
Source
ESANN 2025 : 33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning : proceedings, 23-25 April, 2025, Bruges, Belgium and online event- () p. 747-752
Resource-aware neural network pruning using constrained reinforcement learning and self-competition
Source
6th International Conference on Artificial Intelligence, Robotics and Control (AIRC), 7-9 May, 2025, Savannah, Ga, USA- () p. 526-534
GIFF : graph iterative attention based feature fusion for collaborative perception
Source
Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2025), Porto, Portugal-2 () p. 820-829
Predicting demand and supply in a real-time traffic management framework
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Transport transitions : advancing sustainable and inclusive mobility: proceedings of the 10th TRA Conference, 2024, Dublin, Ireland-2 () p. 356-362
Capacity Freight Volume Prediction for Metro Depot and Transport
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CCEAI 2025: 2025 9th International Conference on Control Engineering and Artificial Intelligence, Ho Chi Minh City, Vietnam, January 16-19, 2025- () p. 6-14
Successor Clusters : A Behavior Basis for Unsupervised Zero-Shot Reinforcement Learning
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Transactions on Machine Learning Research - ISSN 2835-8856-07 (2025) p. 1-33
GPI-tree search : algorithms for decision-time planning with the general policy improvement theorem
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Neural computing and applications - ISSN 0941-0643-37:23 (2025) p. 18989-19007
Reducing the stability gap for continual learning at the edge with class balancing
Source
ESANN 2025 : 33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning : proceedings, 23-25 April, 2025, Bruges, Belgium and online event- () p. 75-80
Distributed collaborative perception using graph attention networks in intelligent transportation systems
Source
Antwerp, University of Antwerp, Faculty of Applied Engineering, 2025,xix, 143 p.
Reliable and efficient low-power edge AI with application to atmospheric and space radiation
Source
Antwerp, University of Antwerp, Faculty of Applied Engineering, Department of Electronics and ICT Engineering Technology, 2025,xii, 138 p.