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AI ensemble models sharpen NBA game predictions and strategy

New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...
Hosted on MSN

AI reshapes anime discovery with smarter, personalized tools

AI-powered anime recommendation systems are evolving from basic filters to sophisticated, context-aware tools that blend content analysis, collaborative filtering, and machine learning for highly ...
IEEE

Environmental Classification of Gasoline-Powered Vehicles Based on $\text{CO}_{2}$ Emissions Using Supervised Learning Algorithms

Abstract: Present work explores the use of machine learning algorithms to classify gasoline-powered vehicles according to their carbon dioxide emissions. The main objective is to evaluate the ...
Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
Scientific Research Publishing

Vembandasamy, K., Sasipriya, R. and Deepa, E. (2015) Heart Diseases Detection Using Naive Bayes Algorithm.

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
Scientific Research Publishing

Comparative Analysis of Neural Networks and Naive Bayes for Multilingual Text Identification ()

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...
Frontiers

A machine learning approach for saddle height classification in cycling

Saddle height is an important factor in bike fitting because it correlates with cycling efficiency and the risk of injuries. Conventional approaches use anthropometric parameters and joint angles as ...
Frontiers

Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm

Osteoporosis is a metabolic bone disease characterized by a decrease in the amount of bone per unit volume. It is highly prevalent and has a harsh impact on patients' lives. The development of ...
Assembly Mag

Traditional Machine Learning for Practical Machine Vision: It’s Been There All Along

Powerful and practical machine learning tools for machine vision applications are already available to everyone, even if you’re not a data scientist. It might come as a bit of a surprise, but machine ...
IEEE

Hybrid Naïve Bayes Models for Scam Detection: Comparative Insights From Email and Financial Fraud

Abstract: Online scams continue to escalate in scale and sophistication, ranging from deceptive phishing emails to complex financial fraud schemes. These evolving threats have surpassed the ...