patients using popular modified decision tree by using genetic algorithm. Performance analysis of the proposed method is compared against data-mining approach, probability rule base classification; ...

This boilerplate is designed to kickstart data science projects by providing a basic setup for database connections, data processing, and machine learning model development. It includes a structured ...

Introduction The current era of artificial intelligence and big data development cause algorithm to dominate various fields including financial organizations along with recruitment agency and police ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

The French police arrested 25 people on Monday, reportedly involved with coordinated attacks against several prisons, and prison officers across the country since April 13. According to local media ...

Training Solar Panels to Dance With the Wind Dec. 17, 2024 — Researchers propose a unique numerical decision-making framework ... have used a genetic learning algorithm to identify optimal ...

Definition: Decision tree analysis involves making a tree-shaped diagram to chart out a course of action or a statistical probability analysis. It is used to break down complex problems or branches.

Trump's approval steady, concerns over economy, immigration rise, Reuters/Ipsos poll finds President Donald Trump's approval rating held steady this week, but discontent is rising over his ...

They use tools like demand forecasting and grid optimization algorithms to gather these data. For example, during peak demand hours, AI-powered systems can adjust energy distribution accordingly, ...

A company plans to start development of a data center for crypto mining in Burke County late this year. A national coalition against crypto mining is hoping residents in the town of Hildebran and ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...