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Active Output Selection for an HEV Boost Maneuver
Reinforcement-Learning-Based Robust Guidance for Asteroid Approaching
RouteE: A Vehicle Energy Consumption Prediction Engine
Train Regenerative Braking Strategy Optimization Based on Reinforcement Learning
A Review and Outlook on Energy Consumption Estimation Models for Electric Vehicles
Integrated Iterative Learning Control Strategy for Batch Processes
Physics-Based Misbehavior Detection System for V2X Communications
Model-Free Intelligent Control for Antilock Braking Systems on Rough Roads
Review of UAV Obstacle Avoidance Algorithms
HPC and HPDA Projects in DLR Aeronautics and Space Research
Attitude Control in Unmanned Aerial Vehicles Using Reinforcement Learning—A Survey
A Review on Fatigue Detection and Management for Air Traffic Controllers
Applications of Machine Learning to Flight Dynamics Operations
Machine Learning for Exploring Data Streams, with Lessons from the Very Long Baseline Array
Reinforcement learning-based autonomous generation technology for product oil tanker loading schemes
Software Development Cost: How Much? You Sure? Technical Summary
Research on UAV Mission Assignment Considering Low-altitude Operating Environment
An online self-organizing neuro-fuzzy control for autonomous underwater vehicles
Hierarchical Bayesian Networks for Predicting the Structural Behavior of Coupled Systems
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving
Prediction of Weather Impacted Airport Capacity using Ensemble Learning
Using Deep Neural Networks to Separate Entangled Workpieces in Random Bin Picking
Learning classifiers for science event detection in remote sensing imagery
Towards the True Hybrid: Physics-Informed Trainable Models for Prognostics and Health Management
Informationsverarbeitungsstrukturen zur Erhöhung der Roboterautonomie
Pengembangan Modul Pemrograman Visual berbasis Project Based Learning
CAVTest: A Closed Connected and Automated Vehicles Test Field of Chang’an University in China
Vibration Rating Prediction Using Machine Learning in a Dynamic Skip Fire Engine