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Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
Classification of Photogrammetric and Airborne LiDAR Point Clouds Using Machine Learning Algorithms
Comparison of Machine Learning Pixel-Based Classifiers for Detecting Archaeological Ceramics
Comparison of traffic accident injury severity prediction models with explainable machine learning
Convolutional Neural Networks for Classification of Drones Using Radars
Deep Learning-Based Airspeed Estimation System for a Commercial Aircraft
Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images
Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning
Detection and Multi-Class Classification of Invasive Knotweeds with Drones and Deep Learning Models
Detection of Bottle Marine Debris Using Unmanned Aerial Vehicles and Machine Learning Techniques