Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...
Abstract: An important factor in assuring system reliability and safety is the detection of anomalies in lithium-ion battery voltage in a timely manner using machine learning techniques. In this study ...
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 ...
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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, ...
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.
Abstract: The value chain of small and medium-sized enterprises (SMEs) of the building materials industry was analyzed using a support vector machine (SVM) algorithm. The algorithm was trained to ...
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