Background In recent years, solar photovoltaic technology has experienced significant
advances in both materials and systems, leading to improvements in efficiency, cost, and …

As the volume of data generated by information systems continues to increase, machine
learning (ML) techniques have become essential for the extraction of meaningful insights …

The parameter assessment of solar cells and photovoltaic (PV) modules is a challenging
task due to the non-linearity behavior of the current–voltage (I–V) characteristic curve. This …

The rapid and accurate acquisition of model parameters of photovoltaic (PV) modules is of
great significance for the efficient operation and maintenance of photovoltaic power plants …

Single-image dehazing plays a significant preprocessing role in machine vision tasks. As
the dark-channel-prior method will fail in the sky region of the image, resulting in …

This paper introduced a newly proposed Meta-heuristic (MH) algorithm for parameter
estimation of solar PV, ie Bonobo Optimizer (BO) algorithm. This algorithm has been …

Biomedical text summarization (BTS) is proving to be an emerging area of work and
research with the need for sustainable healthcare applications such as evidence-based …

The particle swarm optimization (PSO) algorithm is widely used for optimization purposes
across various domains, such as in precision agriculture, vehicular ad hoc networks, path …

This paper presents a framework for adaptive fuzzy control and optimization of nonlinear
systems subject to uncertainties and disturbances. The barrier Lyapunov function (BLF) …

Abstract Particle Swarm Optimization (PSO) is one of the most popular optimization
algorithms that has been adopted in various fields, including design, scheduling, and …