The sale will feature 50,000 Hyperfuse nodes across 20 pricing tiers. Node sales are a growing fundraising method in blockchain. The sale follows a successful $12 million Series A fundraising round ...

This a very simple SVM Spam Emails Classification problem, I used Sklearn library to train the model and get better results ...

Abstract: The aim of the study is to eliminate the electricity loss of individual customers and to overcome the economic crisis. A novel Linear Support Vector Machine (SVM) algorithm is proposed over ...

This study applies response surface methodology (RSM) to the hyperparameter fine-tuning of three machine learning (ML) algorithms: artificial neural network (ANN), support vector machine (SVM), and ...

SVM algorithm in Python with classification. The goal of this project is to predict whether the customer will purchase a car(1) or not(0).

In computational chemistry and chemoinformatics, the support vector machine (SVM) algorithm is among the most widely used machine learning methods for the identification of new active compounds. In ...

Abstract: Support Vector Machine (SVM) is one of the most popular machine learning algorithm to perform classification tasks and help organizations in different ways to improve their efficiency. A lot ...

The accurate identification and classification of various power quality disturbances are keys to ensuring high-quality electrical energy. In this study, the statistical characteristics of the ...