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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
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Speeding Up Optimization-based Motion Planning through Deep Learning
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Artificial intelligence for traffic signal control based solely on video images
Incremental Skill Learning of Stable Dynamical Systems
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
Machine learning algorithms in ship design optimization
Generalization of human grasping for multi-fingered robot hands
A robust machine learning structure for driving events recognition using smartphone motion sensors
Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM
Using Predictive Uncertainty for Cleaning Noisy Annotations
Refining action segmentation with hierarchical video representations
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
Generalization of optimal motion trajectories for a biped walking machine based on machine learning
Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design
An automatic methodology to measure drivers’ behavior in public transport
Open Fusion Platform for Automated Driving Cars Based on Nvidia DPX2
A European Study to identify Key Operational Parameters for ATFM Routing Decisions
An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise
Modelling and Simulation of Spacecraft Hardware based on Machine Learning Techniques
Using kinematic driving data to detect sleep apnea treatment adherence
Ultrasound image features of the wrist are linearly related to finger positions
Asynchronous n-step Q-learning adaptive traffic signal control
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Pedestrian Collision Avoidance Using Deep Reinforcement Learning
Traffic Safety at German Roundabouts—A Replication Study
Learning Defects from Aircraft NDT data (Masterarbeit)
Representation Learning for Robot Keypoint Detection using Prior Kinematic Knowledge
Experimental Closed-Loop Excitation of Nonlinear Normal Modes on an Elastic Industrial Robot
Impact of Training Set Size on the Ability of Deep Neural Networks to Deal with Omission Noise
Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning
Application of iterative learning control in tracking a Dubin’s path in parallel parking
Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography