A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to ...

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

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 ...

Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...