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Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
Urban traffic control based on learning agents
Assessment of Pupils in Educational Robotics—Preliminary Results
Online Adaptive Fuzzy Neural Identification of a Piezoelectric Tube Actuator System
A Method of Reinforcement Learning Based Automatic Traffic Signal Control
Vergleich unterschiedlicher Trainingskonzepte zur integrierten Software
Bewertung von Fahrerassistenzsystemen im Fahrsimulatorversuch in der Nutzfahrzeugtechnik
Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform
Deep Reinforcement Learning als Basis für das Hybridfahrzeug-Energiemanagement
Identification of symbols and its influence on training for motor vehicle controls
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Validity index in dynamic cell structures
Robotic Mission to Mars: Hands-on, minds-on, web-based learning
A Numerical Methodology for the Multi-objective Optimization of the DI Diesel Engine Combustion
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Enhancing discrete choice models with representation learning
Kurzbericht zum Projekt "KI-basierte Fahrwerksregelung KIFAHR"
The Brazilian experience of flex-fuel vehicles technology: towards low carbon mobility
Predicting cycle-level traffic movements at signalized intersections using machine learning models
A methodology for photometric validation in vehicles visual interactive systems
Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Kompetenzerwerb und Struktur von Menüsystemen im Fahrzeug: "Breiter ist besser?"
Using reinforcement learning to minimize taxi idle times
Double-deck elevator systems using genetic network programming with reinforcement learning
Criticality Labeling via Optimal Control and Machine Learning in Automotive Active Safety
Criticality labeling via optimal control and machine learning in automotive active safety
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
LernWerk : Lernen im Prozess der Arbeit am Beispiel der Automobilindustrie
LernWerk : Lernen im Prozess der Arbeit am Beispiel der Automobilindustrie
Machine Learning im Cost Engineering des Supply Managements
Applying Machine Learning Tools for Runway Configuration Decision Support