To create a completely immersive, highly spatiotemporal, and self-sustaining virtual shared
place for humans to play, work, and interact, the Metaverse is an emerging paradigm of the …

The scale of data streaming in social networks, such as Twitter, is increasing exponentially.
Twitter is one of the most important and suitable big data sources for machine learning …

The coordination of modern transportation system depends heavily on intelligent
techniques, information assortment, and its analysis. Sensors play a crucial role in …

Underground metal target detection technology has been widely applied in industrial
production, resource exploration, and engineering construction, etc. However, due to the …

Abstract Machine learning (ML) and deep learning (DL) techniques have demonstrated
significant potential in the development of effective intrusion detection systems. This study …

Abstract Internet of Medical Things (IoMT) environments introduce vast security exposures
including vulnerabilities to data poisoning threats that undermine integrity of automated …

Cloud computing represents a kind of computing that is based on the sharing of computing
resources instead of possessing personal devices or local servers for handling several …

LTE Network is the common mobile technology these days around the world and all service
providers seek to how improve the network capacity and deliver the best performance in …

One of the first researchers to take up the reduction oxygen supply system (ROSS) study of a
spacecraft system for the first time by Aggarwal [1], and due to the importance of the topic in …

In order to store and analyse large amounts of data on a parallel cluster, Big Data Systems
such as Hadoop and DBMSs require a complex configuration and tuning procedure. This is …