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Maschinelles Lernen
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keywords:(Maschinelles Lernen)
Maritime Vessel Detection and Classification in Harbor Environment Using Deep Learning
Smart Traffic: Real-Time Tracking, Vehicle Detection, and Congestion Alert System
Vehicular Communication and Networking Technologies
A Review on Behavioural Biometric GAIT Recognition
Road Environment Perception for Safe and Comfortable Driving
Bird’s Eye View Perception for Autonomous Driving
Environmental Perception Using Fish-Eye Cameras for Autonomous Driving
Correction to: Bees Algorithm Models for the Identification and Measurement of Tool Wear
Personalisierte Klassifizierung des Fahrstils durch maschinelles Lernen
Personalisierte Klassifizierung des Fahrstils durch maschinelles Lernen
Voronoi Diagram-Based Approach to Identify Maritime Corridors
A Pedestrian Gait Recognition Method Driven by Inertial Data
Machine Learning Assisted MPU6050-Based Road Anomaly Detection
Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
DCOP: Deep Learning for Road Safety System
Design of Automatic Lane Change System Based on UN/ECE R79
EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically
Calculating the Traffic Density of Real-Time Video Using Moving Object Detection
Autonomous Traffic Sign Detection and Recognition in Real Time
Posenbasierte Intentionserkennung von ungeschützten Verkehrsteilnehmern aus einem Fahrzeug
Machine Learning Approach for Traffic Sign Detection and Indication Using Open CV with Python
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Real-Time Birds Shadow Detection for Autonomous UAVs
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
ML of Choosing: Architecting Intelligent Choice Framework
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management
Bees Traplining Metaphors for the Vehicle Routing Problem Using a Decomposition Approach
Automatic PID Tuning Toolkit Using the Multi-Objective Bees Algorithm
Task Optimisation for a Modern Cloud Remanufacturing System Using the Bees Algorithm
Supply Chain Design and Multi-objective Optimisation with the Bees Algorithm
Bees Algorithm Models for the Identification and Measurement of Tool Wear
Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies
Global Optimisation for Point Cloud Registration with the Bees Algorithm
A Case Study with the BEE-Miner Algorithm: Defects on the Production Line