Objective: Electroencephalography (EEG) is a non-invasive technique used to record
cortical neurons' electrical activity using electrodes placed on the scalp. It has become a …

This paper proposes an improved version of the grasshopper optimization algorithm (GOA)
based on the opposition-based learning (OBL) strategy called OBLGOA for solving …

This paper presents automatic generation control (AGC) of three unequal area thermal
systems with single reheat turbine and appropriate generation rate constraints (GRC) in …

Golden jackal optimization (GJO) is inspired by the cooperative attacking behavior of golden
jackals and mainly simulates searching for prey, stalking and enclosing prey, and pouncing …

This paper presents an overview on advancement made in designing of a digital infinite
impulse response (IIR) filter. The design problem of an IIR filter was found to be challenging …

This paper introduces a hybrid Sage-Husa adaptive Kalman filter (SHAKF) with a
metaheuristic algorithm to estimate the parameters of the Hammerstein-Wiener (HW) model …

Abstract Electroencephalogram/Event-related-potentials (EEG/ERP) signals have lower
amplitude, are popularly known for their nonstationary nature and are easily exposed to …

Electrocardiogram (ECG) signals are the biomedical signals commonly used in the
prognosis of cardiovascular diseases. ECG recordings need to be stored and transferred …

In recent years, various heuristic optimization methods have been developed. Many of these
methods are inspired by swarm behaviors in nature, such as particle swarm optimization …

Electroencephalogram (EEG) is one of the common modalities of monitoring the mental
activities. Owing to the non-invasive availability of this system, its applicability has seen …