In the literature, one can find a lot of methods and techniques employed to estimate single
diode solar photovoltaic (PV) cell parameters. The efficiency of these methods is usually …

The significant global trend towards solar energy has led to the development of studies on
the fabrication of high-performance solar cells. Accurate modeling and parameter …

The use of solar energy as a source of clean energy is increasing throughout the world.
Therefore, designing higher-quality photovoltaic cells has attracted researches. Several …

This paper proposes an adaptive controller for chaos synchronization using quantum neural
networks (QNN). The main purpose is to design a communication system for transmission of …

Evaluating the performance of photovoltaic panels inevitably involves having the exact
model of solar cells. Different approaches to model solar cells have been proposed in …

An efficient cryptography scheme is proposed based on continuous-variable quantum
neural network (CV-QNN), in which a specified CV-QNN model is introduced for designing …

The performance of population-based meta-heuristic algorithms can be divided into two
phases: exploitation and exploration. However, a major drawback of these methods is their …

Cryptocurrency is widely recognized as an alternative method for paying and exchanging
currency instead of using classic coins or gold; thus, it has infiltrated almost in all financial …

In this work, an efficient robust control scheme is proposed for position control of induction
motors based on field-oriented control (FOC). The proposed control scheme consists of …

Wearable technology plays a key role in smart healthcare applications. Detection and
analysis of the physiological data from wearable devices is an essential process in smart …