ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...

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 ...

Deploying algorithms to maximize user engagement is how Big Tech firms maximize shareholder value, with short-term profits often overriding longer-term business objectives. Now that AI is poised to ...

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

Abstract: The productivity factor is one of the key cost drivers in use case points estimation. However, this factor is uncertain because it is obtained from experts' guesses and does not depend on ...

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 ...

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).

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