Clarkson University researchers have developed a new mathematical tool that could make artificial intelligence systems more ...
Abstract: This paper evaluates the Recursive Least Squares (RLS) and Kernel Recursive Least Squares (KRLS) algorithms for hydrological discharge forecasting, emphasizing lightweight, data-driven ...
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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Building a model capable of RSI would require automating a range of specialist tasks currently carried out by humans. At present data scientists work on the theory of AI and coders put it into ...
Abstract: We consider a nonlinear discrete stochastic control system, and our goal is to design afeedback control policy in order to lead the system to a prespecified state. We adopt a Stochastic ...
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