Retrieving, analyzing, and processing large data can be challenging. An effective and
efficient mechanism for overcoming these challenges is to cluster the data into a compact …

The present study is developed a new approach using a computer diagnostic method to
diagnosing diabetic diseases with the use of fluorescein images. In doing so, this study …

The present waste-management system in most developing countries are insufficient to
combat the challenge of increasing rate of solid waste generation. Accurate prediction of …

The viability of thermal waste-to-energy (WTE) plants and its optimal performance have
informed intelligent predictive modelling of its significant variables critical to optimal energy …

Increasing economic and population growth has led to a rise in electricity consumption.
Consequently, electrical utility firms must have a proper energy management strategy in …

Aim: This study aims to analyze the performance of the algorithms of k-means and FCM for
retinal blood vessel segmentation. Methods: This research method is divided into three …

Optimization of biomethane yield from the anaerobic co-digestion process has taken a new
dimension from the application of common statistical techniques to the use of intelligence …

Background The location of retinal vessels is an important prerequisite for Central Serous
Chorioretinopathy (CSC) Laser Surgery, which does not only assist the ophthalmologist in …

Retinal image analysis is an emerging research field in ophthalmological disease diagnosis
since falsely detected optic disc, fovea, and blood vessels have become essential levels for …

The diminishing supply of fossil fuels, their detrimental environmental effects, and the
challenges associated with the disposal of agro-waste necessitated the development of …