Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

The mission of an intrusion detection system (IDS) is to monitor network activities and
assess whether or not they are malevolent. Specifically, anomaly-based IDS can discover …

In this study, we proposed a novel approach to improve centrifugal pump performance with
regard to the pump head, pump efficiency, and power. Firstly, to establish constraints, an …

An outlier is a datum that is far from other data points in which it occurs. It can have a
considerable impact on the output. Therefore, removing or resolving it before the analysis is …

The significance of intrusion detection systems in networks has grown because of the digital
revolution and increased operations. The intrusion detection method classifies the network …

Abstract In the Internet of Things (IoT), the data that are sent via devices are sometimes
unrelated, duplicated, or erroneous, which makes it difficult to perform the required tasks …

Many intrusion detection algorithms that use optimization have been developed and are
commonly used to detect intrusions. The process of selecting features and the parameters of …

Abstract Machine learning (ML) is a subfield of Artificial Intelligence (AI) that contributes to
the development of systems that can learn from previous data, spot patterns, and make …

Exam proctoring is a hectic task ie, the monitoring of students' activities becomes difficult for
supervisors in the examination rooms. It is a costly approach that requires much labor. Also …

In the recent days all the digital devices including devices used in Healthcare, Personal
Digital Assistance etc. are connected to the network, consequently data is exposed to …