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Maschinelles Lernen
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keywords:("Maschinelles Lernen")
Extraction of Main Urban Roads from High Resolution Satellite Images by Machine Learning
Machine Learning Systems for Detecting Driver Drowsiness
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Machine Learning in Automotive Data Potential, Analytics Power
Drowsy behavior detection based on driving information
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Machine Learning and Big Data Analytics in Support of Fleet Safety During Severe Weather
Estimation of the Traversal Time for a Fleet of Industrial Transport Robots
Characterizing Smart Grid Events Using Clustering Methods
A Study on the Human and the Automation in Automated Driving: Getting to Know Each Other
Monitoring of Road Transport Infrastructure for the Intelligent Environment «Smart Road»
Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning
Predictive Analysis of Alertness Related Features for Driver Drowsiness Detection
Dynamic Evolution of Simulated Autonomous Cars in the Open World Through Tactics
Vibration-based Damage Detection in Bridges via Machine Learning
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Radar Waveforms and Their Mathematical Models
Target Recognition and Classification Techniques
Research on the Automatic Classification of Ship’s Navigational Status
Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
Development and Validation of Engine Start/Stop Strategy for P2 Hybrid Electric Vehicle
Four Decades of Computing in Civil Engineering
Advance Anti-collision Device for Vehicles Using GPS and Zigbee
Machine Learning Techniques for Road Traffic Automatic Incident Detection Systems: A Review
A Possibility of AI Application on Mode-choice Prediction of Transport Users in Hanoi
Machine learning based tool for identifying errors in CAD to GIS converted data