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Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
A reinforcement learning model for personalized driving policies identification
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Using reinforcement learning to minimize taxi idle times
Crash Rate Estimation by Aerial Image Analysis
Les réseaux apprennants à la SNCF ou comment rendre les organisations vivante
Speeding Up Optimization-based Motion Planning through Deep Learning
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
A cold-start-free reinforcement learning approach for traffic signal control
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
Considerazioni sulla formazione mediante simulatori di condotta
Case-based adaptation for automotive engine electronic control unit calibration
Date Estimation in the Wild Dataset
Evolutionary Computation Methods for Helicopter Loads Estimation
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
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
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
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
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design