With the development of technology, e-marketing and business competition, reviews
significantly affect people's lives. Consumers of e-commerce sites share their experiences …

Face recognition is the process of identifying people through facial images. It has become
vital for security and surveillance applications and required everywhere including …

Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …

Recently, many population-dependent methods have been proposed. Despite their
acceptance in many applications, we are still exploring suggested methods to solve actual …

Plant diseases are a significant threat to global food security since they directly affect the
quality of crops, leading to a decline in agricultural productivity. Several researchers have …

Because quantum computing can break encryption systems based on mathematical models,
this paper proposes a new color quantum image encryption algorithm based on …

The problems of image mining and semantic image retrieval play an important role in many
areas of life. In this paper, a semantic-based image retrieval system is proposed that relies …

The vision-based simultaneous localization and mapping (SLAM) method is a hot spot in the
robotic research field, and Oriented FAST and Rotated BRIEF (ORB) SLAM algorithm is one …

The application of image retrieval techniques in industrial settings aims at rapid and
accurate retrieval of the same or similar products from an archive to facilitate the production …

In medical diagnostics, the invention of the computer-aided identification method has played
a significant role in making essential decisions for human diseases. Lung cancer requires a …