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

The transparency of gambling games directly depends on the random number generators integrated. In games with digital dice, brands are a key part to recreate the complete physical unpredictability of ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

The International Association of Top Professionals will honor Dr. Kara Leigh Roncin at their annual awards gala in NYC ...

A new study published in Nature has found that X's algorithm—the hidden system or "recipe" that governs which posts appear in your feed and in which order—shifts users' political opinions in a more ...

UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Abstract: The classification technique is one of the popular techniques used in helping humans decide the target class of a data based on machine learning principles. Unfortunately the construction of ...

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...

What started off more than five years ago as one-off bans in individual classrooms grew into statewide efforts to curb student cellphone use during school. Now, the idea of limiting children’s tech ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...