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Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Small Satellites and Innovations in Terminal and Teleport Design, Deployment, and Operation
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches
Network Control Systems for Large-Scale Constellations
Modeling of aircraft fuel consumption using machine learning algorithms
Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach