In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …

Multilevel thresholding is one of the principal methods of image segmentation. These
methods enjoy image histogram for segmentation. The quality of segmentation depends on …

Cloud datacenter offers economic and elastic computing benefits to the customers, where on-
demand virtual machine (VM) allocation plays a significant role. Inefficient VM placement …

Fruit image segmentation is the primary phase during fruit image analysis to develop an
artificial intelligence system for fruit classification. In this paper, apple images are considered …

Epilepsy is a well-known neurological disorder which affects moreover 2% of the World's
population. Irregular excessive neuronal activities to the human brain cause epileptic …

The gray-level co-occurrence matrix (GLCM) can obtain the pixel matrix of the image, and
selecting multiple thresholds for the matrix can obtain better segmentation results. However …

Threshlod image segmentation is a classic method of color image segmentation. In this
paper, we propose a hybrid equilibrium optimizer algorithm for multi-level image …

In this investigation, self-learning salp swarm optimization (SLSSO) based proportional-
integral-derivative (PID) controllers are proposed for a Doha reverse osmosis desalination …

Abstract Lean Six Sigma is a methodology that combines Lean manufacturing and Six
Sigma into a single framework for process improvement. This combination merges their tools …

The emergence of renewable sources of energy in distribution networks has attracted
attention to more powerful management methods from the distribution companies. Network …