Abstract: A support vector machine surrogate model was developed to address the time-consuming issue of Monte Carlo simulation of aircraft engine components, and a Monte Carlo simulation method based ...

Abstract: Support vector machines, or SVMs, have become a really big deal in machine learning because of how good they are at classification and regression problems. This article explores in-depth ...

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 ...

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design ...

1 Department of Computer Science, Universidad del Norte, Barranquilla, Colombia 2 Department of Industrial Engineering, Universidad del Norte, Barranquilla, Colombia Support Vector Machines (SVMs) are ...

Google Analytics 4 introduced new instant support features to assist users in navigating the platform more effectively. Additionally, a set of new GA4 video tutorials was launched on YouTube, offering ...

ABSTRACT: In machines learning problems, Support Vector Machine is a method of classification. For non-linearly separable data, kernel functions are a basic ingredient in the SVM technic. In this ...

The purpose is to explore the feature recognition, diagnosis, and forecasting performances of Semi-Supervised Support Vector Machines (S3VMs) for brain image fusion Digital Twins (DTs). Both unlabeled ...