Tabular data, organized like tables with rows and columns, is widely used. Existing models
for tabular data synthesis often face limitations related to data size or complexity. In contrast …

The rapid advancement of data generation techniques has spurred innovation across
multiple domains. This comprehensive review delves into the realm of data generation …

The accelerated industrial transformation has witnessed the supervisory control and data
acquisition (SCADA) transit from monolithic to the Internet of Things (IoT-SCADA). The …

With the meteoric rise in anonymous network traffic data, there is a considerable need for
effective automation in traffic identification tasks. Though many shallow and deep machine …

Machine learning based security monitoring can be used to detect cyberattacks and
malfunctions in cyber-physical production systems. Acquiring real data sets for training …

Serverless Computing is a powerful cloud-based architecture for the creation of applications.
It boasts incredible scalability by running processes on a vast network of edge nodes. It …

Next-generation networks (NGNs) are designed to handle the increasing demands of
modern communication, driven by a surge in data traffic and a wide array of applications …

The growing dependence on technology in healthcare has resulted in the creation of
sophisticated hospital networks that are highly linked and vulnerable to cyber threats. A …

The examination of bacterial communities has increasingly relied on machine learning
methods and metagenomic analysis, providing novel solutions across various domains …

The Internet of Things (IoT) is an advancing important technology offers multiple perks, such
as webcams, baby monitors, room temperature controllers, smart security cameras and …