Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

Cognitive load detection during the mental assignment of neural activity is necessary
because it helps to understand the brain's response to stimuli. An electroencephalogram …

Identifying photovoltaic (PV) parameters accurately and reliably can be conducive to the
effective use of solar energy. The grey wolf optimizer (GWO) that was proposed recently is …

To make the face hallucination process robust to impulse noise, a new outlier elimination
based iterative neighbor representation (OEINR) algorithm is proposed in this work. The …

Sand cat swarm optimization (SCSO) is a recently introduced popular swarm intelligence
metaheuristic algorithm, which has two significant limitations–low convergence accuracy …

An intelligent surveillance system poses a lot of challenges in the processing of captured
noisy low-resolution (LR) images. To defeat such challenges, face super-resolution (SR) …

Wind power forecasting is critical for optimizing energy use and ensuring the reliability of
wind power systems in renewable energy. This paper introduces a novel method that …

The main problem of existing wind plant nowadays is that the optimum controller of single
turbine degrades the total energy production of wind farm when it is located in a large wind …

Over the past few decades, there has been a lot of advancement in face hallucination (or
super-resolution) technologies, with the position-patch-based locality constrained methods …

In order to improve the brightness and contrast of low illumination color images and avoid
over enhancement, an adaptive image enhancement algorithm based on visual saliency is …