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Evolutionary Computation Methods for Helicopter Loads Estimation
Bio-inspired Wake Tracking for Aircraft Formation Flight Based on Reinforcement Learning
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Deep Explainable Relational Reinforcement Learning : A Neuro-Symbolic Approach
Learning haptic exploration schemes for adaptive task execution
Research on availability of satellite images based on immune feedback learning fuzzy neural network
Adaptive Deep Learning through Visual Domain Localization
Recognition of User's Activity for Adaptive Cooperative Assistance in robotic surgery
A Deep Learning Approach for Object Recognition with NAO Soccer Robots
Gain Customer Insights Using NLP Techniques
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems
Coordinated EV Charging Based on Charging Profile Clustering and Rule-Based Energy Management
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Collaborative Programming of Conditional Robot Tasks
Auto-Tuning PID Controller on Electromechanical Actuators Using Machine Learning
Reinforcement Learning Enhanced New Energy Vehicle Dynamic Subsidy Strategies
An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Dynamic "Standing Orders" for Autonomous Navigation System by means of Machine Learning
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Towards Semi-Supervised Causal Open Set Recognition
Intelligent Classification of Automotive Horn Sound Quality
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Toward a Framework for Highly Automated Vehicle Safety Validation
Deep Multiframe Enhancement for Motion Prediction in Video Compression
Generalization of human grasping for multi-fingered robot hands
Ältere Benutzer und neuere Informationssysteme im Personenverkehr
Aeroengine Gas Path Parameter Trend Prediction Based on LSTM
Reinforcement Learning for Traffic-Adaptive Sleep Mode Management in 5G Networks
Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM
The Causality for Climate Challenge
A Diagnostic Technology of Powertrain Parts that Cause Abnormal Noises Using Artificial Intelligence
Machine Learning Models for Predicting Grinding Wheel Conditions Using Acoustic Emission Features
Autonomous helicopter control using reinforcement learning policy search methods
Play and learn with an intelligent robot: Enhancing the therapy of hearing-impaired children
Tutorial: Natural language processing with Python
Catalyst Design Study of Detailed Reaction Model including Gas Diffusivity into the Washcoat
Using virtual worlds in distance learning environments