Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...
IEEE

Machine Learning for Breast Cancer Detection: Svm-Based Predictive Modeling

Abstract: Cancer is a heterogeneous disease that can spread to any body part. Breast cancer is one of the most dangerous cancers among women, contributing significantly to mortality worldwide. This ...
Scientific Research Publishing

Dua, D. and Graff, C. (2017) UCI Machine Learning Repository: Pima Indians Diabetes Dataset. University of California, Irvine.

ABSTRACT: This article explores the use of Support Vector Machines (SVM) for diagnosing diabetes based on fourteen medical and behavioral variables. Following a theoretical overview of diabetes and ...
Scientific Research Publishing

Diabetes Diagnosis Using Machine Learning: A SVM-Based Approach ()

1 Faculty of Mathematics and Computer Science,, Felix Houphouët-Boigny University, Abidjan, Côte d’Ivoire. 2 Institute for Mathematical Research (IRMA), Abidjan, Côte d’Ivoire. 3 Higher Teacher ...
SciELO

Integrating Deep Learning, Grey Wolf Optimization, and SVM for Precise Plant Seedling Classification.

The agricultural sector, particularly in emerging economies like Africa, faces significant challenges in weed management, directly impacting yield, production costs, and crop quality. Accurate and ...
IEEE

Testing the Application of Support Vector Machine (SVM) to Technical Trading Rules

Abstract: The stock price movements result from many factors that are often difficult to be detected and modelled. The investigation of price trends and the use of the information available to ...
marktechpost

What is Support Vector Machine (SVM)?

A Support Vector Machine (SVM) is a supervised learning algorithm utilized in the field of machine learning. It is primarily applied to perform tasks such as classification and regressionThis ...