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Integrating built environment and parking policy for car commuting reduction: evidence from Beijing
Classification of Photogrammetric and Airborne LiDAR Point Clouds Using Machine Learning Algorithms
A human-centric machine learning based personalized route choice prediction in navigation systems
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
Federated Learning for Spanish Ports as an Aid to Digitization
Automatic clustering-based approach for train wheels condition monitoring
SeeCucumbers: Using Deep Learning and Drone Imagery to Detect Sea Cucumbers on Coral Reef Flats
Modelling Ships Main and Auxiliary Engine Powers with Regression-Based Machine Learning Algorithms
Identifying traffic conditions from non-traffic related sources
SPONTANEOUS CATEGORIZATION AND SELF-LEARNING WITH DEEP AUTOENCODER MODELS
Experimental Evaluation of Computer Vision and Machine Learning-Based UAV Detection and Ranging
Drone Trajectory Segmentation for Real-Time and Adaptive Time-Of-Flight Prediction
A Review on Drone-Based Data Solutions for Cereal Crops