Natural Language Processing study has reached a point where distinct machine learning
algorithms were implemented in order to obtain better results in the classification of text. This …

Support vector machines (SVM) are a popular class of supervised models in machine
learning. The associated compute intensive learning algorithm limits their use in real-time …

Abstract System maintenance for large and complex IT infrastructures highly depends on
automatic system monitoring, and the performance of system monitoring depends on their …

Objectives: The development of better biomarkers for disease assessment remains an
ongoing effort across the spectrum of neurologic illnesses. One approach for refining …

Graph Convolutional Networks (GCNs) have received considerable attention in the field of
artificial machine intelligence (AMI) and natural language processing research because they …

It has been observed from recent studies that corticolimbic Theta rhythm from EEG
recordings perceived as fear or threatening scene during neural processing of visual stimuli …

In this paper, we study the exploitation of language generation models for disinformation
purposes from two viewpoints. Quantitatively, we argue that language models hardly deal …

Lumpy skin diseases virus (LSDV) is a dangerous and contagious diseases that are mostly
common in Sub-Saharan African, South Eastern Europe, South Asia and as well as Middle …

Purpose: This paper gives an overview of data mining algorithms used for text classification
and a review of works that have been performed on classifying texts. Design/Methodology …

Cross-site scripting (XSS) attack has been one of the most dangerous attacks in cyberspace
security. Traditional methods essentially discover XSS attack by detecting malicious …