The COVID-19 flare-up in late 2019 caused a worldwide medical crisis. In a littlemore than a
quarter of a year, the quantity of COVID new cases has risen to in excessof 1,000,000 …

Network security is one of the foremost anxieties of the modern time. Over the previous
years, numerous studies have been accompanied on the intrusion detection system …

Biometric systems have gained attention as a more secure alternative to traditional
authentication methods. However, these systems are not without their technical limitations …

In the health sector, the computer-aided diagnosis (CAD) system is a rapidly growing
technology because medical diagnostic systems make a huge change as compared to the …

Support vector machines (SVMs) are a set of related supervised learning methods used for
classification and regression. They belong to a family of generalized linear classifiers. In …

One of the cancers that causes the greatest mortality is liver cancer worldwide.
Consequently, early identification and detection of potential Cancer mortality is decreased …

In this study, an iris recognition technique based on enhanced EnhanceDeepIris model is
proposed in order to examine iris recognition at a deeper level. The process first uses …

As technology has developed, there are more e-agriculture applications for farming that
make sophisticated use of ICTs such satellite networks, GPS, contemporary computers, and …

A crucial element in detecting unusual network system behavior is the network intrusion
detection system (NIDS), which also helps to stop network attacks from happening. Despite …

E-learning is the theme interrelated to the virtualized distance learning with the help of
electronic communication machines, certainly with the help of Internet. CloudIoT paradigm is …