This systematic review aims to investigate recent developments in the area of arc fault
detection. The rising demand for electricity and concomitant expansion of energy systems …

Big data is a term used for very large data sets that have more varied and complex structure.
These characteristics usually correlate with additional difficulties in storing, analyzing and …

The literature review delves into the realm of" Reducing Industrial Risk with AI and
Automation" by exploring the historical context and limitations of traditional risk management …

ABSTRACT Information, Communication Technologies (ICT) has become an important
educational component in higher education. ICT it possible for students to learn, collaborate …

Water quality prediction in the spatially heterogeneous environment is challenging as the
importance of water quality parameters (WQPs) and the performance of prediction models …

Artificial Intelligence is a field of computer science that mimic human cognitive functions. It
has brought a paradigm shift in the medical field mostly due to the increase in healthcare …

The Electroencephalogram (EEG) is an essential tool used to detect and investigate multiple
neurological disorders within the human brain. However, examination and visualization of …

This comprehensive review paper provides a thorough examination of current
advancements and research in the field of arc fault detection for electrical distribution …

This article's primary purpose was to investigate the usage of artificial intelligence in
electrical automation control systems (EACS). With the advancement of current science and …

In this paper, we present an overview of different Multi-Criteria Decision Making methods
and an evaluation of cloud services based on these techniques. The Multi-Criteria Decision …