Historically, cosmological models rely on "free parameters"—arbitrary, human-tuned variables inserted into the math to force the formulas to match reality. Kulkarni's updated simulation completely ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Abstract: The relevancy of fraud detection in account takeover fraud in online financial transactions is at it’s peak. The traditional fraud detection approaches have seen a downwards trend. This ...

Abstract: This paper presents a novel hybrid algorithm combining Ant Colony Optimization (ACO) and multi-model ensemble feature selection techniques to enhance the accuracy of Support Vector ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...