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Maschinelles Lernen
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1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
A camera self-health-maintenance system based on sensor artificial intelligence
A Case Study with the BEE-Miner Algorithm: Defects on the Production Line
Acoustic Monitoring of Rail Faults in the German Railway Network
A Cyber Physical System Model for Autonomous Tolling Booths
Adaptive human-robot policy blending for shared control teleoperation
A data-driven dynamics simulation framework for railway vehicles
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A fault tolerant neural network for space-based 3D printing quality assessment
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
A gravity assist mapping for the circular restricted three-body problem using Gaussian processes
A Grey Box Model Approach for the Prediction of Tire Energy Loss
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
A Hybrid Frame Work on Real-Time Vehicle Detection and Speed Tracking Using Machine Learning
AI-based Wave Prediction in Complex Plasmas
A machine learning approach to crater detection from topographic data
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
A machine learning approach to visual perception of forest trails for mobile robots
A methodology for photometric validation in vehicles visual interactive systems
An Application of the Bees Algorithm to Pulsating Hydroforming
An architectural framework for self-configuration and self-improvement at runtime
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
An Overview of Real-Time Traffic Sign Detection and Classification
A Pedestrian Gait Recognition Method Driven by Inertial Data
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
A random forest algorithm for nowcasting of intense precipitation events
A Review of the Applications and Future Scope of Artificial Intelligence in Smart Transport
A Review on Behavioural Biometric GAIT Recognition