This article aims to provide an in-depth analysis of the recent development of various control
strategies and their implementation concerning frequency and power control in automatic …

The intrusion detection system is a method for detection against attacks, making it one of the
essential defense layers. Researchers are trying to find new algorithms to inspect all …

Feature selection, which aims to screen out redundant and irrelevant features from datasets,
is integral to machine learning and data mining. Grey Wolf Optimization (GWO) is a recent …

In today's world of engineering evolution, the need for optimized design has led to
development of a plethora of optimization algorithms. Right from hardware engineering …

The overhead power line transmits and distributes electricity across large regions it has
several conductors on poles. Power system stability analysis and state estimates need a …

Electronic mail is a medium of communication used frequently for conveying a variety of
information. It has become an integral part of people's lives owing to its ease of access and …

The classification problem is an important research topic in machine learning and data
mining. Feature selection can remove irrelevant and redundant features and improve …

The conception of electromechanical oscillations initiates in the power network when there
is an installation of the generator in parallel with the existent one. Further, the …

The foremost objective of this article is to develop a novel hybrid powerful meta-heuristic that
integrates the salp swarm algorithm with sine cosine algorithm (called HSSASCA) for …

This paper proposes a new hybrid deep learning model for heart disease prediction using
recurrent neural network (RNN) with the combination of multiple gated recurrent units …