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Machine Learning-Assisted Adaptive Modulation for Optimized Drone-User Communication in B5G
Classification of Photogrammetric and Airborne LiDAR Point Clouds Using Machine Learning Algorithms
Integrating built environment and parking policy for car commuting reduction: evidence from Beijing
Federated Learning for Spanish Ports as an Aid to Digitization
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
A human-centric machine learning based personalized route choice prediction in navigation systems
Modelling Ships Main and Auxiliary Engine Powers with Regression-Based Machine Learning Algorithms
SeeCucumbers: Using Deep Learning and Drone Imagery to Detect Sea Cucumbers on Coral Reef Flats
Drone Trajectory Segmentation for Real-Time and Adaptive Time-Of-Flight Prediction
Identifying traffic conditions from non-traffic related sources
Propeller optimization by interactive genetic algorithms and machine learning
SPONTANEOUS CATEGORIZATION AND SELF-LEARNING WITH DEEP AUTOENCODER MODELS