The purpose of this study is to summarize the pattern recognition (PR) and deep learning
(DL) artificial intelligence methods developed for the management of data in the last six …

Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …

Cyber-security intelligence have made a great impact over healthcare industry where
several researchers are developing new techniques to improve security for healthcare …

Industrial control systems (ICSs) are facing serious and evolving security threats because of
a variety of malicious attacks. Deep learning-based intrusion detection systems (IDSs) have …

Smart cities have attracted a lot of attention from interdisciplinary research, and plenty of
artificial intelligence based solutions have been proposed. However, cyber security has …

Abstract Long Range (LoRa) communications are gaining popularity in the Industrial Internet
of Things (IIoT) domain due to their large coverage and high energy efficiency. However …

Identifying statistical trends for a wide range of practical power system applications,
including sustainable energy forecasting, demand response, energy decomposition, and …

Due to the harsh working conditions and high cost of data acquisition in the actual
environment of modern rolling mills, the resulting limited datasets issue leading in …

Photovoltaic (PV) systems, as critical components of the power grid, have become
increasingly reliant on standard Information Technology (IT) computing and network …

Intrusion detection systems (IDSs) investigate various attacks, identify malicious patterns,
and implement effective control strategies. With the recent advances in machine learning …