Abstract: Flow regime classification is essential for analyzing and modeling two-phase flows, as it demarcates the flow behavior and influences the selection of appropriate predictive models. Machine ...
Abstract: In this brief, we investigate the approximation theory (AT) of Bayesian recurrent neural network (BRNN) for stochastic time series forecasting (TSF) from a probabilistic standpoint. Due to ...
To paraphrase the famous musical title, a funny thing happened on the way to the upfronts this year. One by one, the four major broadcast network announced their 2026-27 lineups, and each of them ...
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