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, ...
1 Department of Critical Care Medicine, Harrison International Peace Hospital, Hengshui, China 2 Graduate College, Hebei Medical University, Shijiazhuang, China Objective: Investigate the correlation ...
The MAGIC Composite Response (MCR) metric integrates clinical symptoms and biomarkers, improving prediction of long-term outcomes for acute GVHD patients compared to clinical response alone (CRO). MCR ...
Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...
The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...
International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) classification and regression tree analysis to characterize objective response rates (ORR) in metastatic renal cell carcinoma ...
1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
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