This paper proposes a multi-threshold image segmentation method based on improved
emperor penguin optimization (EPO). The calculation complexity of multi-thresholds …

This paper proposes a modified marine predators algorithm based on quantum theory to
handle the multilevel image segmentation problem. The main aims of using quantum theory …

Multi-threshold segmentation is widely used in image segmentation, but its computational
complexity increases with the number of thresholds, which can compromise segmentation …

Background Automatic segmentation of 3D objects in computed tomography (CT) is
challenging. Current methods, based mainly on artificial intelligence (AI) and end‐to‐end …

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 …

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 …

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 …

Nowadays, the online web-based auction system has become the extremely popular
component in the electronic marketplace. A practical case study will be introduced in this …

This paper delves into the capacity of enhanced Big Bang-Big Crunch (EBB-BC)
metaheuristic to handle data clustering problems. BB-BC is a product of an evolution theory …