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

Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...

Abstract: Extracting crucial information from lengthy documents can be a time-consuming and labor-intensive process. Automatic text summarization algorithms address this challenge by condensing ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

In this work, we identify two key observations about spatiotemporal redundancy in videos: Temporal redundancy is not bound to fixed spatial locations. Semantically consistent elements in videos often ...

Abstract: This paper proposes a novel global modeling framework based on a Mixture of Experts (MoE) architecture to address the challenge that conventional compact global models face in capturing the ...