Abstract: This research presents a machine learning-based methodology for detecting and analyzing partial shading scenarios in photovoltaic (PV) systems. Utilizing an experimental setup of a 3x2 PV ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Abstract: This paper explores the forecasting of vegetable sales and the optimization of procurement strategies using the XGBOOST algorithm and random forest methodology. The study begins by utilizing ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...