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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
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
A reinforcement learning model for personalized driving policies identification
A Numerical Methodology for the Multi-objective Optimization of the DI Diesel Engine Combustion
Learning IPM - a driving strategy for hybrid electric vehicles learns its lessons
Recent Advances in Robotic Systems
Recent Advances in Robotic Systems
AI-based Parameter Optimization Method
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
Reinforcement learning-enabled intelligent energy management for hybrid electric vehicles
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Case-based adaptation for automotive engine electronic control unit calibration
Date Estimation in the Wild Dataset
Störungsfrüherkennung an Kreiselpumpen mit Verfahren des maschinellen Lernens
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp
Evolutionary Computation Methods for Helicopter Loads Estimation
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
UUV teams, control from a biological perspective
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Aerodynamics Analysis Tools for Flying Robots: Automated Tuft Recognition using Deep Learning
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Gaussian process regression for forecasting battery state of health
Review of intelligent detection and statistical methods of wild animals in UAV aerial photography