In order to ensure the safe operation of trains, an improved whale optimization algorithm is proposed to optimize the rail corrugation evolution trend prediction model of the least squares support ...

This approach utilizes the Cleveland dataset by combining the Artificial Flora Optimization algorithm with the Support Vector Machine. The proposed algorithm functions as a meticulous gardener, ...

Enhancing Imbalanced Classification with Support Vector Machines via Evolutionary Oversampling Algorithms Abstract: Support Vector Machines (SVMs), as well-known algorithms, have been successfully ...

The novel algorithm was presented in the study “ Machine learning for monitoring and classification in inverters from solar photovoltaic energy plants,” published in Compass in Solar.

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 ...

Apply Supervised Learning Algorithms using Python to predict breast cancer, diabetes, etc.. diseases.

This project implements the Support Vector Machine (SVM) algorithm for predicting user purchase classification. The goal is to train an SVM classifier to predict whether a user will purchase a ...

Heart attack symptoms are sometimes similar to non-heart-related conditions, making diagnosis tricky. UK researchers have turned to machine learning to provide doctors with a fast and accurate way ...

In conclusion, by introducing the structure of support vector regression, the implementation of support vector regression algorithm for grain yield prediction was designed, and the algorithm design of ...