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Machine learning methods in monitoring operating behaviour of marine two-stroke diesel engine
Iterative learning of an unknown road path through cooperative driving of vehicles
Driving policies of V2X autonomous vehicles based on reinforcement learning methods
ANALYSIS AND COMPARISON OF LONG SHORT-TERM MEMORY NETWORKS SHORT-TERM TRAFFIC PREDICTION PERFORMANCE
Spatio‐temporal expand‐and‐squeeze networks for crowd flow prediction in metropolis
Long short‐term memory and convolutional neural network for abnormal driving behaviour recognition
Location‐based data delivery between vehicles and infrastructure
Using Bayesian Networks to Model Competence of Lifeboat Coxswains
A New Intelligent Approach in Predictive Maintenance of Separation System
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
Federated Learning for Spanish Ports as an Aid to Digitization
SATP-GAN: self-attention based generative adversarial network for traffic flow prediction