Accurate prediction of wind speed plays a very important role in the stable operation of wind
power plants. In this study, the goal is to establish a hybrid wind speed prediction model …

The performance of photovoltaic (PV) system relies on the accurate determination of
unknown parameters in PV models, such as photo-generated current, diode current, and …

In this article, we organize a stretchable-thickness model to present a frequency analysis for
a composite plate applicable in badminton court which is reinforced with origami graphene …

This paper is organized to present eigenvalue-eigenvector based solution method for elastic
bending analysis of foldable Golf Clubs cylindrical shell reinforced with graphene origami …

Foldability capacity is now introduced as a novel nanofiller reinforcement production
procedure using some operation to control the mechanical, thermal and electrical properties …

The usage of conventional fossil fuels has aided fast economic growth while also having
negative consequences, such as increased global warming and the destruction of the …

Abstract The Multi-Objective Chimp Optimization Algorithm (MOChOA), a multi-objective
variation of the recently proposed ChOA, is developed in this research to address multi …

Abstract Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm
intelligence methods. It has been widely tailored for a wide variety of optimization problems …

The design of underwater wireless sensor networks (UWSNs) faces many challenges,
including power consumption, storage, battery life, and transmission bandwidth. UWSNs …

Accurately estimating the unknown parameters of the photovoltaic (PV) models based on the
measured voltage-current data is a challenging optimization problem due to its high …