Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network

Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving

Prediction-Based Reachability Analysis for Collision Risk Assessment on Highways

Context-based Cyclist Path Prediction: Crafted and Learned Models for Intelligent Vehicles

Image-based modelling for Adolescent Idiopathic Scoliosis: Mechanistic machine learning analysis and prediction

Selecting Informative Data Samples for Model Learning Through Symbolic Regression

Estimation of Spectral Notches from Pinna Meshes: Insights from a Simple Computational Model

Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments

Crafted vs. Learned Representations in Predictive Models - A Case Study on Cyclist Path Prediction

Gas Turbines Power Regulation Subject to Actuator Constraints, Disturbances and Measurement Noises

Effects of Preview Time in Manual Tracking Tasks

A generalized model for short-term forecasting of solar irradiance

An Extended Linear Quadratic Model Predictive Control Approach for Multi-Destination Urban Traffic Networks

Road Network Design in a Developing Country Using Mobile Phone Data: An Application to Senegal

A human-like steering model: Sensitive to uncertainty in the environment

Using road topology to improve cyclist path prediction