Fish classification (FC) is an expansively studied problem in the domains of image
segmentation, pattern recognition, and information retrieval. It has been applied in a …

Image recognition process could be plagued by many problems including noise, overlap,
distortion, errors in the outcomes of segmentation, and impediment of objects within the …

Fish categorization and identification in the wild continue to be challenging because of a
number of characteristics connected to manual labor, which leads to inferior or false …

The diversity and quality of high-quality and diverse-solution external memory of the hybrid
Elitist-Ant System is examined in this study. The Elitist-Ant System incorporates an external …

Population-based approaches regularly are better than single based (local search)
approaches in exploring the search space. However, the drawback of population-based …

This research adapted and implemented an algorithm for commanding using speech
recognition in ARABIC language in addition to English, and the ability to train the system …

A smart city is a community that uses communication and information technology to improve
sustainability, livability, and feasibility. As any community, there are always unexpected …

In computer vision, image classification is one of the potential image processing tasks.
Nowadays, fish classification is a wide considered issue within the areas of machine …

Elderly chronic diseases are the main cause of death in the world, accounting 60% of all
death. Because elderly with chronic diseases at the early stages has no observed …

Researchers in different fields such as image processing, neural sciences, computer
programs and psychophysics have investigated number of problems related to facial …