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Abstract: The most popular way for companies of all sizes to satisfy their IT needs is now via cloud computing. The modern computational technology system operates as a fundamental framework which ...

Objective: To develop and validate an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity. Methods: A total of 471 older adults with ...

After a couple of volatile weeks, Bitcoin (BTC) experienced a modest rebound on Monday, July 28. However, with major U.S. crypto policy reports due July 30, the flagship digital asset could still ...

For years, the United States labor market has been undergoing a structural transformation. As jobs in manufacturing have receded, slowly but steadily, the health care industry has more than replaced ...

Abstract: The house pricing projection is crucial to the financial services industry and real estate sector. People are researching market techniques and attempting to purchase a new property within ...

Purpose: To develop a machine learning model to predict anatomical response to anti-VEGF therapy in patients with diabetic macular edema (DME). Methods: This retrospective study included patients with ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

In this project, I investigate and predict the outcomes of chess games using machine learning techniques. Drawing from over 168,000 games on Lichess.org the project applies extensive Exploratory Data ...

Welcome to the Car Price Prediction repository! This project is a machine learning-powered web application that predicts the price of used cars based on essential input features. You can find the ...