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 ...
Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
A new study published in Applied Sciences (MDPI) demonstrates how artificial intelligence can accurately predict carbon ...
A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...
A machine learning model may be a valid method of determining the risk for recurrence of MS among individuals who discontinue ...
For years, we believed the Himalayas were a climatic sanctuary—untouched, pristine, and resilient to the turbulence of ...
With a projected market size of $166.6 billion by 2029, alloy steel remains vital for industrial processes, driven by its ...
What if we told you that the secret to healthier soil, cleaner ecosystems, and smarter farming isn't buried in a high-tech lab—but hidden in the data ...
The study also highlights that generator-related faults generally have broader and deeper effects than line faults due to ...
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