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: Current data-driven predictive control (DDPC) methods heavily rely on data collected in open-loop operation with elaborate design of inputs. However, due to safety or economic concerns, ...
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Highlights of Python 3.15, now available in beta, include lazy imports, faster JITs, better error messages, and smarter profiling. The first full beta of Python 3.15 ...