Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Devdiscourse

Billions at stake: AI can spot high-growth firms before investors do

SMEs are widely recognized as the backbone of Europe’s economy, yet many face persistent challenges in accessing equity ...
IEEE

Handwritten Digit Classification Using Support Vector Machine Algorithm Comparing with Logistic Regression for Improving Accuracy

Abstract: The work's objective is to assess how well the classification techniques of logistic regression and support vector machine predict handwritten digits. A Digit dataset with 985 records is ...
Scientific Research Publishing

Putri, N.H., Fatekurohman, M. and Tirta, I.M. (2021) Credit Risk Analysis Using Support Vector Machines Algorithm. Journal of Physics: Conference Series, 1836, Article ID: 012039.

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...
Frontiers

Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis

Background: The “gut–skin axis” has been proposed to play an important role in the development and symptoms of atopic dermatitis. Therefore, we have constructed an interpretable machine learning ...
Frontiers

A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression

1 Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China 2 China Construction Eighth Bureau Engineering Research Institute, China Construction ...
marktechpost

Support Vector Machine (SVM) Algorithm

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...