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Maschinelles Lernen
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Visual recognition of hexagonal headed bolts by comparing ICA to wavelets
Verification of Image-Based Neural Network Controllers Using Generative Models
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems
Vehicular Networks and Autonomous Driving Cars
UUV teams, control from a biological perspective
Using ultrasound images of the forearm to predict finger positions
Using explainable machine learning to understand how urban form shapes sustainable mobility
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Unconstrained licence plate and text localization and recognition
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Transit electrification state of the art: A machine-learning based text mining approach
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Traffic Light Control and Machine Learning: A Systematic Mapping Review
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
The Future of Car Automation Field with Smart Driverless Technologies
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Target Recognition and Classification Techniques
Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels
Studying the capabilities of the analytical system based on the machine learning method
Strategieplanungen für das hybride Recycling in der Automobilindustrie
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Sharing behavior in ride-hailing trips: A machine learning inference approach
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Self-supervised learning of primitive-based robotic manipulation
Sampling-based exploration strategies for mobile robot autonomy
Robust servo-control for underwater robots using banks of visual filters
Revisiting residential self-selection and travel behavior connection using a double machine learning
Revealing influences on carsharing users’ trip distance in small urban areas