Morteza Haghir Chehreghani
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Showing 7 publications
An online learning framework for energy-efficient navigation of electric vehicles
Unsupervised representation learning with Minimax distance measures
Learning representations from dendrograms
Accelerated proximal incremental algorithm schemes for non-strongly convex functions
Generation of Driving Scenario Trajectories with Generative Adversarial Networks
A Non-Convex Optimization Approach to Correlation Clustering
Efficient context-aware K-nearest neighbor search
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Showing 5 research projects
Energy-based models for supervised deep neural networks and their applications
Adaptive Neural Controller for Future Renewable Fuels
Real-Time Robust and AdaptIve Learning in ElecTric VEhicles (RITE)
Modelling and optimization of energy management systems for plug-in hybrid vehicles
AI-assisted real-time digital twin for electric drivetrains