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01/26/2023
Estimating Causal Effects using a Multi-task Deep Ensemble
Over the past few decades, a number of methods have been proposed for ca...
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12/18/2022
Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning
Reinforcement learning-based (RL-based) energy management strategy (EMS)...
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11/18/2022
Potential Auto-driving Threat: Universal Rain-removal Attack
The problem of robustness in adverse weather conditions is considered a ...
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11/08/2022
Progress and summary of reinforcement learning on energy management of MPS-EV
The high emission and low energy efficiency caused by internal combustio...
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09/12/2022
A novel learning-based robust model predictive control energy management strategy for fuel cell electric vehicles
The multi-source electromechanical coupling makes the energy management ...
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09/08/2022
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model
Accurate traffic conditions prediction provides a solid foundation for v...
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09/07/2022
Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries
In recent years, significant progress has been made in transportation el...
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07/22/2022
Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction
Traffic prediction plays an important role in the realization of traffic...
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07/22/2022