Image colorization is an interesting yet challenging task due to the descriptive nature of
getting a natural-looking color image from any grayscale image. To tackle this challenge and …

Gender recognition is an attractive research area in recent years. To make a user-friendly
application for gender recognition, having an accurate, fast, and lightweight model …

Initialization is the first and a major step in the implementation of evolutionary algorithms
(EAs). Although there are many common general methods to initialize EAs such as the …

Classification of isolated digits is a fundamental challenge for many speech classification
systems. Previous works on spoken digits have been limited to the numbers 0 to 9. In this …

Deep learning is one of the most important scopes of the Machine Learning that includes
some important architectures. Deep Convolutional Neural Network is one of the attractive …

A newly defined “linear constrained optimization method”(LiCOM), as a novel meta-
exploratory optimization technique, is presented here to carry out optimal design of …

One of the major concerns in Evolutionary Algorithms is the premature convergence caused
by what is known as the Exploration and Exploitation Balance problem. To maintain this …

Deepfake refers to a category of fake and artificial data in which fake content is produced
based on existing content. This content can include image, video and audio signals …

Given the increasing daily volume of videos generated by security cameras in personal and
public spaces, monitoring the activities present in videos has become crucial. Many video …

Smart Grid (SG) is an intelligent managed network inclusive various data networks. Due to
using the two-way data and electricity flows in SG, relations among the network elements …