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Maschinelles Lernen
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Visual recognition of hexagonal headed bolts by comparing ICA to wavelets
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
Using ultrasound images of the forearm to predict finger positions
Using explainable machine learning to understand how urban form shapes sustainable mobility
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
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
Sharing behavior in ride-hailing trips: A machine learning inference approach
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
Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
Real-Time Traffic Sign Detection Under Foggy Condition
Radar Waveforms and Their Mathematical Models
Potential of machine learning for prediction of traffic related air pollution
Pioneering Data Quality and Security in Smart Grid
Pattern recognition for nondestructive evaluation
Overview of Catenary Detection of Electrified Railways
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose
Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership
Nonlinear effects of the built environment on metro-integrated ridesourcing usage