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Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Machine learning algorithms in ship design optimization
Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM
A robust machine learning structure for driving events recognition using smartphone motion sensors
Generalization of optimal motion trajectories for a biped walking machine based on machine learning
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
A European Study to identify Key Operational Parameters for ATFM Routing Decisions
Using kinematic driving data to detect sleep apnea treatment adherence
Modelling and Simulation of Spacecraft Hardware based on Machine Learning Techniques
An automatic methodology to measure drivers’ behavior in public transport
Ultrasound image features of the wrist are linearly related to finger positions
Learning Defects from Aircraft NDT data (Masterarbeit)
Traffic Safety at German Roundabouts—A Replication Study
Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography
Arm-Intent-Detection with Bio-Signals in Virtual Reality
Deep Learning with Semi-Synthetic Training Images for Detection of Non-Cooperative UAVs
Multimode trip information detection using personal trajectory data
Grant-Free Access: Machine Learning for Detection of Short Packets
Prediction of fatigue failure in small-scale butt-welded joints with explainable machine learning
Drowsy behavior detection based on driving information
Fahrerverhaltensvorhersage an Kreisverkehren
Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions
Images in mind – Design metaphor and method to classify driver distraction in critical situations
Road Type Identification Ahead of the Tire Using D-CNN and Reflected Ultrasonic Signals
Prediction of Driver’s Drowsiness Using Machine Learning Algorithms for Minimal Risk Condition
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Filtered Integral Formulation of the Sparse Model Identification Problem
Simulation-driven design of a fast monohull
Machine-Learning-Assisted Optimization of Aircraft Trajectories Under Realistic Constraints
Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning
Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings