Abstract: This paper presents a novel method for real-time identification of four parameters of the permanent magnet synchronous machines (PMSM) namely stator resistance, d-axis inductance, q-axis ...
HSPiPy is a Python library designed for calculating and visualizing Hansen Solubility Parameters (HSP). It provides machine-learning–friendly estimators, convenient data import, and plotting tools for ...
Abstract: Nowadays, a higher capability of voltage and power is needed in scenarios such as shore-based power system and electric vehicles charging. Input-series output-series (ISOS) multichannel ...
The quality of AI-generated artifacts and answers improves when certificates are demanded, even if the evidence provided by ...
Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...
On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to ...
Empirical SCOTUS is a recurring series by Adam Feldman that looks at Supreme Court data, primarily in the form of opinions and oral arguments, to provide insights into the justices’ decision making ...
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