The krill herd (KH) algorithm is a novel swarm intelligent algorithm which is inspired the herding behavior of the krill swarms. The various test results in the relevant literature show that the KH algorithm has better performance than the other swarm intelligent algorithm for optimization problem. In order to further improve the performance of the KH algorithm, an improved KH is proposed in th...

Several neurological illnesses and diseased sites have been studied, along with the anatomical framework of brain, using structural MRI (sMRI). It is critical to diagnose Alzheimer’s disease (AD) patients in a timely manner implement preventative treatments. The segmentation brain anatomy categorization AD received increased attention since they can deliver good findings spanning vast range inf...

A large portion of South Africa’s elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much higher than observed in the wild. The large nutritional demands and destructive foraging behavior of elephants threaten rare species of vegetation. If conservation management is to protect threatened species of vegetation, knowing how ...

One of the most critical operations aspects is power management strategies for hybrid AC/DC microgrids. This work presented in AC–DC microgrids with a droop control strategy. At first, photovoltaic, Wind, and battery are used as sources, which supply uncertainties. The AC DC controlled by an Adaptive neuro-fuzzy inference system (ANFIS) controller Proportional Integral Derivative (PID) controll...

Abstract Herding is a deterministic algorithm used to generate data points regarded as random samples satisfying input moment conditions. This based on high-dimensional dynamical system and rooted in the maximum entropy principle of statistical inference. We propose an extension, entropic herding, which generates sequence distributions instead points. derived herding from optimization problem o...

Deep learning approaches based on convolutional neural networks (CNNs) have recently achieved success in computer vision, demonstrating significant superiority the domain of image processing. For hyperspectral (HSI) classification, are an efficient option. Hyperspectral classification often spectral information. Convolutional used for order to achieve greater performance. The complex computatio...