A Comparative Evaluation of Numerical Models for Cryocooler Regenerators
A Deep Reinforcement Learning Strategy for UAV Path Following Control Under Sensor Fault
A Local Probabilistic Prior-Based Active Contour Model for Brain MR Image Segmentation
A New Framework for Grayscale and Colour Non-lambertian Shape-from-Shading
An Improved Neural-Network-Based Deterministic Policy Gradient Algorithm for Nonlinear Systems
An Inverse Analysis Method for the Assessment of Track Irregularity
A Novel Memory Gradient Based for Efficient Image Segmentation
Applying Deep Reinforcement Learning for the Active Suspension Control System on Cars
A Prediction Approach for Oil Canning of Sheet Metal Forming Based on Strain Gradient
Arrival Train Delays Prediction Based on Gradient Boosting Regression Tress
Brake-Based Stability Assistance Functions for Commercial Vehicles