Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Abstract: The rapid adoption of Electric Vehicles (EVs) necessitates advanced solutions for flexible charging (FC) systems to meet diverse user needs and optimize grid efficiency. This study ...
In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...
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Churn prediction model built with Logistic Regression and Random Forest on 10,000 bank customer records. Random Forest achieved 86% accuracy. Age was the strongest churn predictor, and customers with ...
This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...
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