Abstract: The application of machine learning (ML) on IoT data is pivotal for developing intelligent industrial systems. This involves using a sliding window to extract time slices for ML prediction ...
Abstract: Integrated energy systems face challenges such as inconsistent equipment parameters, unmeasurable data, and complex coupling mechanisms. To address these issues, this paper develops an ...
For years, NASA engineers have turned to a tool called the Launch, Ascent, and Vehicle Aerodynamics (LAVA) framework to solve ...
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