Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

1 Architectural and Civil Engineering, Jinken College of Technology, Nanjing, Jiangsu, China 2 College of Civil Engineering and Architecture, Xinjiang University, Urumqi, Xinjiang, China Therefore, ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Abstract: A neurological condition that affects a lot of people and significantly decreases their quality of life is Parkinson’s disease. It mostly impacts human motor functions. The terms ...

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...

Abstract: The rapid increase in fake identities and automated bots in online streams, especially on social media and e-commerce platforms, poses significant security and trust challenges. This paper ...

Climate models are essential tools for understanding and predicting our planet, but accurately setting their many internal parameters is complex and has been a labor-intensive manual task in the past.

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...