Tech Xplore

Rough demos unlock precise robot actions, with up to fourfold real-world gains

Robots with increasingly precise dexterity are becoming essential in everyday life and industrial settings, from assembling tiny smartphone components to assisting doctors in surgery. However, ...
Women's Health

How Amanda Holden, 55, used the Viking Method to build real-life strength – and 5 moves to try

Created by trainer Svava Sigbertsdottir, the Viking Method refers to a training approach that combines physical and mental principles from a range of sports: football, handball, ballet, contemporary ...
Scientific Research Publishing

Dietterich, T.G. (2000) Ensemble Methods in Machine Learning. In: Kittler, J. and Roli, F., Eds., International Workshop on Multiple Classifier Systems, Springer, 1-15.

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...
Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...
Frontiers

Hybrid optimization of interpretable ensemble machine learning for petrophysical property prediction from well logs

Unconventional reservoirs, including shale gas, tight oil, and coalbed methane formations, have emerged as vital contributors to global energy security, accounting for a substantial portion of the ...
IEEE

Machine-Learning-Assisted Graphic Antenna Design Using Dynamic Acquisition Ensemble

Abstract: In this letter, a machine-learning-assisted graphic antenna design method using dynamic acquisition ensemble (ML-GDAE) is proposed. First, a dynamic normalized Gaussian network-based antenna ...
Nature

Cardiovascular risk prediction via ensemble machine learning and oversampling methods

Cardiovascular disease (CVD) remains one of the leading causes of mortality worldwide. The cardiovascular system comprises the heart and its blood vessels. CVD encompasses four major conditions: ...
Nature

ACLPred: an explainable machine learning and tree-based ensemble model for anticancer ligand prediction

Several small molecules have been approved for cancer treatment, but the continuously growing cancer cases have further encouraged the identification of new anticancer drug compounds. Experimental ...
IEEE

A Novel Ensemble Method Based on Support Vector Dynamic Learning Neural Network for Breast Cancer Diagnosis

Abstract: To improve the accuracy of breast cancer diagnosis and reduce examination costs, a novel ensemble learning method called support vector dynamic learning neural network (SVDL) is proposed in ...
C&EN

Advanced Multi-Parameter Prediction of Coal Quality Using LIBS and Ensemble Machine Learning Techniques

The LIBS measurement system primarily consisted of an Nd:YAG laser (Dwa-200, Beijing LeiBao Photoelectric Technology Co., Ltd., China), a multichannel spectrometer (AvaSpec-ULS2048, Avantes, ...
LinkedIn

Ensemble Learning in Machine Learning: Types, Techniques & Benefits

Ensemble Learning in Machine Learning: Machine learning models are widely used for predictions, but relying on a single model often results in suboptimal performance. This is where ensemble learning ...
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 ...