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A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
A cold-start-free reinforcement learning approach for traffic signal control
A European Study to identify Key Operational Parameters for ATFM Routing Decisions
A human-centric machine learning based personalized route choice prediction in navigation systems
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
An automatic methodology to measure drivers’ behavior in public transport
An Autonomous Driving Approach Based on Trajectory Learning Using Deep Neural Networks
An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise
Application of iterative learning control in tracking a Dubin’s path in parallel parking
Arm-Intent-Detection with Bio-Signals in Virtual Reality
A robust machine learning structure for driving events recognition using smartphone motion sensors
Arterial corridor travel time prediction under non-recurring conditions
Artificial intelligence for traffic signal control based solely on video images
Asynchronous n-step Q-learning adaptive traffic signal control
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Chancen für die Zukunft durch Bildung
Considerazioni sulla formazione mediante simulatori di condotta
Coordinated Orbit–Attitude–Vibration Control of a Sun-Facing Solar Power Satellite
Crash Rate Estimation by Aerial Image Analysis
Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information
Deep Learning with Semi-Synthetic Training Images for Detection of Non-Cooperative UAVs
Deep Reinforcement Learning Approach for Integrated Updraft Mapping and Exploitation
Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions
Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic
Drowsy behavior detection based on driving information
Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design
EGR Prediction of Diesel Engines in Steady-State Conditions Using Deep Learning Method
Electric vehicle charging demand forecasting using deep learning model