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Abstract: The image segmentation techniques based on multi-level threshold value received lot of attention in recent years. It is because they can be used as a pre-processing step in complex image ...

Stylized image of a CLASSIX clustering result overlaid on top of a coronavirus illustration. Credit: University of Manchester, CDC / Alissa Eckert, MSMI; Dan Higgins, MAMS An AI framework aids in ...

In January, I tapped on the “explore” page of my Instagram account and was greeted with a flood of food-related posts. Fruit had too much sugar to be healthy. You should switch out buns for lettuce on ...

def __init__(self, pop_size=50, n_dim=2, max_iter=150, lb=[-5, -5], ub=[5, 5], func=None): self.Y = [self.func(self.X[i]) for i in range(len(self.X))] # y = f(x) for ...

ABSTRACT: In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was ...

Abstract: Aiming at the problem of solving the nonlinear optimization of magnetic dipole target location, this paper proposes an improved salp swarm algorithm (ISSA) with multiple strategies. Firstly, ...

This is a repository which contains all the code for the Spider Monkey Optimization Algorithm, associated with Chapter 6, Machine Learning for Intelligent Decision ...

Thresholding is a popular image segmentation method that converts gray-level image into binary image. The selection of optimum thresholds has remained a challenge over decades. In order to determine ...