Quantum computing future explained through cryptography, optimization, and AI breakthroughs showing how quantum computing ...
New energy-saving control strategy helps connected plug-in hybrids anticipate front-vehicle behavior
Researchers have developed an energy-saving control strategy for intelligent connected plug-in hybrid electric vehicles that ...
Opinion
5dOpinion
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, ...
Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...
ABSTRACT: Under variable-speed conditions in modern industry, rolling bearing vibration signals are highly non-stationary, and fault features are easily obscured by speed interference and noise.
As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
Abstract: The Support Vector methods was proposed by V.Vapnik in 1965, when he was trying to solve problems in pattern recognition. In 1971, Kimeldorf proposed a method of constructing kernel space ...
Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
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