Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
Abstract: Within Bayesian state estimation, considerable effort has been devoted to incorporating constraints into state estimation for process optimization, state monitoring, fault detection and ...
Abstract: Bayes classifier employs a statistical model to categorize data. It is regarded as the most effective classifier when its probabilistic models are able to extract sufficient information from ...
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