Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
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Machine learning modeling assists intelligent process analysis for high-performance virus filtration
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a machine learning (ML) framework to analyze virus filtration ...
Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...
A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...
As global supply chains continue to strain under trade tensions, natural disasters and pandemics, researchers at UBC Okanagan ...
Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
By enhancing forecast precision, the system enables governments to preempt budgetary imbalances, reduce waste, and optimize spending efficiency. The authors argue that the combination of machine ...
Artificial intelligence (AI) and machine learning (ML) are now embedded in the core of banking — powering decisions in credit, fraud, ...
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