Abstract The popularity of artificial intelligence applications is on the rise, and they are producing better outcomes in numerous fields research. However, effectiveness these relies heavily quantity quality data used. While volume available has increased significantly recent years, this does not always lead to results, as information content also important. This study aims evaluate a new prep...

<span>Methamphetamine addiction is a prominent problem in Southeast Asia. Drug addicts often discuss illegal activities on popular social networking services. These individuals spread messages media as means of both buying and selling drugs online. This paper proposes model, the “text classification model methamphetamine tweets Asia” (TMTA), to identify whether tweet from Asia related abu...

introduction: the accuracy of analyzing functional mri (fmri) data is usually decreases in the presence of noise and artifact sources. a common solution in for analyzing fmri data having high noise is to use suitable preprocessing methods with the aim of data denoising. some effects of preprocessing methods on the parametric methods such as general linear model (glm) have previously been evalua...