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Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...
Abstract: Deep neural networks (DNNs) are potent in LiDAR-based 3D object detection (LiDAR-3DOD), yet their deployment remains daunting due to their cumbersome parameters and computations. Knowledge ...
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 ...
It becomes the latest country to restrict phone use in schools, with a law that will go into effect in 2026. By Choe Sang-Hun Reporting from Seoul South Korea passed a bill on Wednesday outlawing the ...
The HRM model has 27 million parameters while using 1,000 training samples, the scientists said in a study uploaded June 26 to the preprint arXiv database (which has yet to be peer-reviewed). In ...
The Trump administration’s abusive efforts to repurpose millions of federal records and funnel them into a centralized government database represent a systemic shift toward a consolidation of ...
Cybersecurity today moves at the pace of global politics. A single breach can ripple across supply chains, turn a software flaw into leverage, or shift who holds the upper hand. For leaders, this ...
I remember the sound of the record button on my cassette boombox. I waited hours to record a new song without the DJ’s outro. My prized possessions were mixtapes, curated song by song, and music ...
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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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