Cost of Composites: A Qualitative Discussion
Control Strategies for Robot-Assisted Training - Literature Review and Experimental Impressions
A Simple Human Learning Optimization Algorithm
Integrated Iterative Learning Control Strategy for Batch Processes
Gait Pose Estimation Based on Manifold Learning
Iterative Learning Control Design with High-Order Internal Model for Permanent Magnet Linear Motor
A Novel Learning Algorithm for Pallet Grouping Technology
Integrated IMC-ILC Control System Design for Batch Processes
Optimum Control for the Vehicle Semi-active Suspension System
An LMI Approach to Iterative Learning Control Based on JITL for Batch Processes
Application of Human Learning Optimization Algorithm for Production Scheduling Optimization
A Hybrid Generative-Discriminative Learning Algorithm for Image Recognition
Automatic Character Detection System for IC Test Handler Based on Active Learning SVM
Zero-Shot Image Classification via Coupled Discriminative Dictionary Learning
Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes
Estimation of the Traversal Time for a Fleet of Industrial Transport Robots
Stability Determination Method of Flame Combustion Based on Improved BP Model with Hierarchical Rate
Effective Durability and Damage Tolerance Training: New Methods for Modern Learners
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
Development and Validation of Engine Start/Stop Strategy for P2 Hybrid Electric Vehicle
The Algorithm for UAV Obstacle Avoidance and Route Planning Based on Reinforcement Learning
UAV Downwash-Based Terrain Classification Using Wiener-Khinchin and EMD Filters
Individual Predictive Maintenance Approach for Diesel Engines in Rail Vehicles
Online Platform to Teach Aviation English at a Military School in Salinas
Kinematic Analysis of Steering Mechanism: A Review
Welcome to the Data Jungle – Our Way to Tackle AI-Supported Vehicle Development Projects
Active Output Selection for an HEV Boost Maneuver
Attitude Control in Unmanned Aerial Vehicles Using Reinforcement Learning—A Survey
Using Deep Neural Networks to Separate Entangled Workpieces in Random Bin Picking
Detection and Monitoring for Anomalies and Degradation of a Robotic Arm Using Machine Learning
Deep Reinforcement Learning for IoT Interoperability
Deep Learning-Enabled Real Time In-Site Quality Inspection Based On Gesture Classification
Digital Twinning of the Battery Systems—A Review
AI-based Parameter Optimization Method
Road Network Energy Optimization Using IoT and Deep Learning
Data-Driven Automotive Development: Federated Reinforcement Learning for Calibration and Control
New Approaches to Vehicle Health Management via a Digital Twin
Cloud-Based Predictive Diagnosis Using Machine Learning for Automotive EPGS
Synthesis and Fatigue Life Optimization of a Spring-Less Compliant Robot Leg Design
Validation Environment for Deep Reinforcement Learning Based Gear Shift Controllers