This paper presents an in‐depth survey and performance evaluation of cat swarm
optimization (CSO) algorithm. CSO is a robust and powerful metaheuristic swarm‐based …

Swarm based optimization algorithms are a collection of intelligent techniques in the field of
Artificial Intelligence (AI) were developed for simulating the intelligent behavior of animals …

Many swarm intelligence algorithms study the behavior of animals and make animal-based
systems for solving various tasks. Cat swarm optimization (CSO) is a swarm intelligence …

Block matching algorithm is a popular technique in develo** video coding applications
that is used to reduce the computational complexity of motion estimation (ME) algorithm. In a …

Object tracking is important and challenging task in many computer vision applications such
as surveillance, vehicle navigation, and autonomous robot navigation. Video surveillance in …

Now a day, many organizations and independent consumers are heavily utilizing cloud
services for their scalability, reliability, and low expenses. Develo** management …

Residual stresses greatly affect parts' performances, lives, fatigue strengths, corrosion
resistance, etc. Due to the lack of analytical models, machining parameter optimisation for …

Object tracking is important and challenging task in many computer vision applications such
as surveillance, vehicle navigation, and autonomous robot navigation. Video surveillance in …

There are many characteristics that can be calculated by the movement of people, such as
distance, speed, slope and difference in length or height for each type of the movement. For …

Motion estimation (ME) is one of the element keys in video compression that takes up to
60% in processing time. Block matching algorithm (BMA) is a technique that is used to …