Georgia Southern University researchers develop a machine learning model with 97.97% accuracy in earthquake forecasting. STATESBORO, GA, UNITED STATES, October 29 ...
A team of researchers has developed a new strategy for identifying hazardous pollutants in soil -- even ones that have never been isolated or studied in a lab. A team of researchers at Rice University ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
While nanopore technologies have revolutionized DNA and RNA analysis, their application to proteins has been limited due to ...
Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from pharmaceuticals to plastics, rely on catalytic processes at some stage of production.
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...
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