Cyberattacks and advanced attack methods need firms to alter their threat detection and
response systems. XDR, SIEM, SOAR, NDR, real-time monitoring, and network forensics are …

An individual's capacity to learn, concentrate, make sound decisions, and solve problems is
all profoundly affected by stress. Recently, researchers in the fields of computer science and …

Support vector machines, in the field of machine learning, are supervised learning models
that examine data for classification and regression using learning methods that are …

This paper explores the security challenges faced in multi-cloud environments and how
machine learning (ML) can be used to address them. Multi-cloud environments offer …

Mobile devices have become indispensable instruments for staying current, thanks to the
revolutionary change brought about by the rapid rise of technology. With an emphasis on …

The problem of fake news and misinformation has become increasingly prevalent in today's
society, leading to a growing need for effective fact-checking and fake news detection tools …

Computer vision and image analysis rely heavily on machine learning. From structure-from-
motion and object recognition to scene understanding and image segmentation and …

Heterogeneous computing, leveraging Field Programmable Gate Arrays (FPGAs) and
Graphics Processing Units (GPUs), is an emerging field in computer science and …

Steganography, derived from the Greek term meaning" covered writing," is the art and
science of concealing hidden messages within seemingly innocuous communications …

The current manual process of registering and renewing bus passes is problematic for
passengers, but a real-time effort called PTC Registration and Renewal will help. In addition …