Art authentication is no longer just about the trained eye—it’s now a high-stakes blend of science, history, and cutting-edge ...

Korea Institute of Civil Engineering and Building Technology has successfully developed a real-time, low-cost algal bloom monitoring system utilizing inexpensive optical sensors and a novel labeling ...

AI improved accuracy of HER2 breast cancers with reference ... drug conjugates expand their therapeutic reach, accurate classification is no longer an academic exercise — it has direct ...

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...

Abstract: In machine learning, classifiers are typically susceptible to noise in the training data. In this work, we aim at reducing intra-class noise with the help of graph filtering to improve the ...

The best result of the proposed model shows the accuracy percentage of the SVM classifier varies from ${9 0 \%}$ to ${9 6 \%}$, the accuracy of the KNN classifier varies from 95% to 100%, and the ...

In this paper, we propose an end-to-end framework for EEG classification that integrates power spectral density (PSD) and visibility graph (VG) features together ... we analyze their performance in ...

Machine learning project to predict customer churn in the banking industry using classification models like Random Forest, Logistic Regression, SVM, and Decision Trees. Evaluates model performance ...