Simple Summary Segmentation of brain tumor images from magnetic resonance imaging
(MRI) is a challenging topic in medical image analysis. The brain tumor can take many …

The moth-flame optimization (MFO) algorithm is an effective nature-inspired algorithm based
on the chemical effect of light on moths as an animal with bilateral symmetry. Although it is …

Particle swarm optimization (PSO) is a global metaheuristic that has been proved to be very
powerful for optimizing a wide range of problems. However, PSO requires a large number of …

Particle swarm optimization (PSO) is a powerful globally accepted evolutionary swarm
intelligence method for solving both linear and non-linear problems. In this paper, a PSO …

Video surveillance is one of the widely used and most active research applications of
computer vision. Although lots of works have been done in the area of smart surveillance …

In this article, the numerical techniques are presented for the solution of Troesch's problem
based on neural networks optimized with three different methods including particle swarm …

In modern world video compression technology is developed in to a bloomed field, with
several techniques available for a wide range of applications like video transmission, HDTV …

In this paper, the trade-off between utility and energy consumption in orthogonal frequency
division multiplexing (OFDM)-based cognitive radio (CR) network is investigated. Energy …

The large amount of bandwidth that is required for the transmission or storage of digital
videos is the main incentive for researchers to develop algorithms that aim at compressing …

Motion estimation is a progression used to estimate motion vectors between two or more
images with a high degree of temporal redundancy. It is commonly used in video …