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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 ...
Scientific Research Publishing

A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites ()

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...
Scientific Research Publishing

Asif, D., Bibi, M., Arif, M.S. and Mukheimer, A. (2023) Enhancing Heart Disease Prediction through Ensemble Learning Techniques with Hyperparameter Optimization. Algorithms, 16 ...

ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...
IEEE

EffiDenseGenOp: Ensemble Transfer Learning With Hyperparameter Tuning Using Genetic Algorithm Optimization for PCOS Detection From Ultrasound Sonography Images

Abstract: In this research, we present the revolutionary ‘EffiDenseGenOp’ framework for Polycystic Ovary Syndrome (PCOS) detection, leveraging the amalgamation of Ensembled Transfer Learning Models.
IEEE

Ensemble-Based AI Learning Algorithm to Predict Drag Force for Particle Clusters

Abstract: In this work, we propose a novel approach that uses an ensemble of deep neural networks (DNN) and convolutional neural networks (CNN) to predict the drag coefficient of small, ...
Frontiers

Reinforcement learning-based multi-model ensemble for ocean waves forecasting

This study addresses the challenges of uncertainty in wave simulations within complex and dynamic ocean environments by proposing a reinforcement learning-based model ensemble algorithm. The algorithm ...