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 ...
Crypto markets are seeing a mix of momentum and steady footing. Rollblock (RBLK) has pulled in over $11.5 million during its presale, with the token climbing 500% as interest grows from ...
Abstract: The increasing demand for wastewater treatment processes is to improve the effluent quality and reduce the energy consumption. However, due to the existence of different time scales data ...
Objective: To develop and validate a real-world evidence-driven early warning system for the risk-stratified prediction of coronavirus disease 2019 (COVID-19)-associated hepatic dysfunction in ...
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 ...
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 ...
A comprehensive, enterprise-grade Selenium WebDriver automation framework built using Java, TestNG, Apache POI, and Maven. This framework follows the Page Object Model (POM) design pattern and ...
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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 ...
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