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How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Abstract: Power transformers, as oil-immersed equipment, are primarily diagnosed using dissolved gas analysis (DGA), a widely recognized and effective fault detection method. Over time, numerous ...
Institutional trading desks today operate in an increasingly fragmented and automated market, where execution quality depends on both advanced technology and deep market expertise. At Rosenblatt ...
Results From The International MISSION Re-BEAT Feasibility Trial Using A Pulsatile, Soft Robotic Biventricular MCS Device That Avoids Blood Contact In Heart Failure Patients With Reduced Ejection ...
An elderly Melbourne man with advanced motor neurone disease is fighting for more government support after an algorithm declared he didn't need a higher level of care. Graham Crossan cannot eat or ...
Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...
This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...
Space vector modulation (SVM) is a sophisticated digital control technique that improves three-phase inverter performance over traditional sinusoidal PWM (SPWM). SVM’s higher DC bus utilization ...
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