Abstract: Imbalanced classification problems pose a significant challenge in machine learning, especially when the minority class contains critical information. In this context, Fuzzy Rule-Based ...

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“Gain of function” (GoF) research refers to genetic modification that deliberately enhances the abilities of an organism — often a virus or bacterium — to study how such changes affect its function, ...

NEW YORK and HOUSTON, Nov. 7, 2025 /PRNewswire/ -- A mismatch between two common tests for kidney function may indicate a higher risk for kidney failure, heart disease, and death, a new study shows.

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

This repository provides an efficient binary video classification pipeline using PyTorch, optimized for local GPU-enabled PCs. It includes preprocessing and model inference tools for classifying ...

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...

Large Language Models (LLMs) have gained significant prominence in modern machine learning, largely due to the attention mechanism. This mechanism employs a sequence-to-sequence mapping to construct ...

Dr. James McCaffrey from Microsoft Research presents a C# program that illustrates using the AdaBoost algorithm to perform binary classification for spam detection. Compared to other classification ...