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Virtual-Reality-Simulation (VRS) (Teilprojekt 7). BMBF-Verbundprojekt DeepC
Vibration modeling improves pipeline performance, costs
Vergleich unterschiedlicher Trainingskonzepte zur integrierten Software
Vehicle merging algorithm for automated transportation systems using fuzzy logics
Vehicle detection in driving simulation using extreme learning machine
Validity index in dynamic cell structures
UUV teams, control from a biological perspective
Urban traffic control based on learning agents
Unconstrained licence plate and text localization and recognition
Transfer of human control strategy based on similarity measure
Trajectory control of unmanned aerial vehicle using neural nets with a stable learning algorithm
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Traffic signal networks simulator with learning emotional algorithm
Traffic incident detection using particle swarm optimization
Traffic accident analysis using machine learning paradigms
Towards a formal theory of learning
Toward autonomous driving: the CMU Navlab. II. Architecture and systems
This Is Your Captain Speaking: Multilingual Computer Assisted Cockpit Crew Announcement Training
The use of artificial neural networks for the intelligent optimal control of surface ships
The POP learning algorithms: reducing work in identifying fuzzy rules
The past, present, and future of neural networks for signal processing
The need for verification and validation techniques for adaptive control system
The NASA systems autonomy program: applying AI in space
The conditions of student's structuration of knowledge in a virtual language class
The Brazilian experience of flex-fuel vehicles technology: towards low carbon mobility
Task segmentation - an approach to simulator task fidelity
Target recognition using neural networks for model deformation measurements
Störungsfrüherkennung an Kreiselpumpen mit Verfahren des maschinellen Lernens
Stochastic optimal control of active vehicle suspensions using learning automata
SSME parameter model input selection using genetic algorithms
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
Software V&V support by parametric analysis of large software simulation systems
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Self-organising social processes of task allocation
Self-adaptive recurrent neuro-fuzzy control for an autonomous underwater vehicle
Selbstlernende Algorithmen zur videobasierten Absichtserkennung von Fußgängern