Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
Tech Xplore on MSN
Microgrippers successfully developed to handle sub-millimeter-sized, complex objects
Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a ...
A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to ...
Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
6don MSN
Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
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 ...
Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
Florence Nightingale’s innovative “rose diagram” of preventable deaths revolutionized data-driven disease surveillance. 1 Raw hospital mortality data collected during the Crimean War were transformed ...
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