Data mining for quality control: Burr detection in the drilling process
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Validity index in dynamic cell structures
Urban traffic control based on learning agents
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A methodology for photometric validation in vehicles visual interactive systems
A Software Scheme for UAV's Safe Landing Area Discovery
A Method of Reinforcement Learning Based Automatic Traffic Signal Control
Double-deck elevator systems using genetic network programming with reinforcement learning
Unconstrained licence plate and text localization and recognition
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Autonomous situation awareness through threat data integration
Adaptive fuzzy control of satellite attitude by reinforcement learning
Kernel regression for travel time estimation via convex optimization
Reinforcement learning-based multi-agent system for network traffic signal control
Case-based adaptation for automotive engine electronic control unit calibration
Intelligent landing control system for civil aviation aircraft with dual fuzzy neural network
Learning user preferences of route choice behaviour for adaptive route guidance
UUV teams, control from a biological perspective
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp
Steering in a Random Forest. Ensemble Learning for Detecting Drowsiness-Related Lane Departures
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Evolutionary Computation Methods for Helicopter Loads Estimation
Research on availability of satellite images based on immune feedback learning fuzzy neural network
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems
Traffic accident analysis using machine learning paradigms
Neural networks for continuous online learning and control
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Autonomous helicopter control using reinforcement learning policy search methods
Stellenwert von Fahrerassistenzsystemen bei Fahrlehrern und Fahrschülern
Improved classification of surface defects for quality control of car body panels