REACT: Runtime-Enabled Active Collision-avoidance Technique for Autonomous Driving.

Closed-loop seizure modulation via extreme learning machine supervisor based sliding mode disturbance rejection control.

Multiscale-integrated deep learning approaches for short-term load forecasting.

Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting.

A Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction.

Investigating the Effects of Human-Machine Interface on Cooperative Driving Using a Multi-Driver Co-Simulation Platform.

Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting.

Part-Based Representation Enhancement for Occluded Person Re-Identification.

Towards Next Generation of Pedestrian and Connected Vehicle In-the-Loop Research: A Digital Twin Co-Simulation Framework.

RF-Enhanced Road Infrastructure for Intelligent Transportation.

A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction.

ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model.

Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators.

AVOID: Autonomous Vehicle Operation Incident Dataset Across the Globe.

ChatGPT Is on the Horizon: Could a Large Language Model Be All We Need for Intelligent Transportation?

Towards Next Generation of Pedestrian and Connected Vehicle In-the-loop Research: A Digital Twin Simulation Framework.

Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks.

CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins.

Enhancing Construction Truck Safety at Work Zones: A Microscopic Traffic Simulation Study.