Abstract: The choice of parameters in the classification process using the Support Vector Machine significantly affects the optimization of the results. Continuing research that has been done before, ...

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 ...

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 ...

Early diagnosis of pneumonia is crucial to increase the chances of survival and reduce the recovery time of the patient. Chest X-ray images, the most widely used method in practice, are challenging to ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Abstract: Support Vector Machine (SVM) is a new learning method based on statistical learning theory and structural optimization. Because of the excellent performance, SVM is selected for big data ...

School of Electronics and Information Engineering, Beichen District, Hebei University of Technology, Tianjin, China. With nowadays Artificial Intelligence (AI) role in the countries’ fourth industrial ...

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People are already adopting the technology. By German Lopez For most people, ChatGPT is more of a toy than a tool. You can ask it silly questions, but it’s not robust enough to write high-quality work ...