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A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery
Federated Learning for Spanish Ports as an Aid to Digitization
Machine Learning Based Approach to a Crane Load Estimation
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Collaborative robot assisted smart needle placement