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Abstract: We study the problem of fault isolation in linear systems with actuator and sensor faults within a data-driven framework. We propose a nullspace-based filter that uses solely fault-free ...
Abstract: This paper aims to develop a constant output voltage controller for dynamic wireless power transfer systems(DWPTSs) incorporating sensor noise filtering and ...
In order to accurately describe the impact of the volatility and randomness of renewable energy output power on the operation of industrial park microgrids, a data-driven robust optimization method ...
A new study led by researchers from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has for the first time mapped the long-term, large-scale transport pathways of ...
Molecular Mechanisms of Amyloid Inhibition: An NMR-Driven Framework with Polyphenols as a Case Study
The final, formatted version of the article will be published soon. Misfolding and aggregation of intrinsically disordered proteins into amyloid fibrils are central to neurodegenerative diseases such ...
Firefly stock jumped 31% after unveiling CLEAR, an AI-driven EEG platform powered by Nvidia GPUs for faster, cleaner brain data. Nvidia deepened healthcare ties with Novo Nordisk and IQVIA, pushing AI ...
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Explainable AI framework reveals how element combinations boost alloy strength and durability
Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...
Researchers have developed a new, data-driven way of fitting prosthetic legs that could lead to better-fitting prosthetics, in less time and at a lower cost. The technology was developed by Radii ...
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