Mitigating climate change challenges in the built environment through the decarbonisation
of energy and construction materials remains a pressing challenge. The circular economy …

Ethiopia has been challenged by the growing magnitude of diabetes in general and type-2
diabetes in particular. Knowledge extraction from stored dataset can be an important base …

Many of the interesting and important applications of machine learning are seen in a
medical organization. The notion of machine learning has swiftly become very appealing to …

The 2019 World Malaria Report confirms that Africa continue to bear the burden of malaria
morbidity. The continent accounted for over 93% of the global malaria incidence reported in …

Efforts towards the adoption of 4IR/5IR technologies in the construction industry have been
widely reported in extant literature. However, it appears that these efforts are mostly at …

The art of extracting significant insights and trends from data has existed since prehistoric
times. The ancient Egyptians, for example, employed statistical data to improve tax collection …

Various devices such as smart phones, computers, tablets, biomedical equipment, sports
equipment, and information systems generate a large amount of data and useful information …

Type 2 diabetes mellitus (T2DM) is a degenerative condition. Beta cell dysfunction worsens
with disease progression, leading to elevated blood glucose levels. Over time, untreated …

Abstract Machine learning is one part of artificial intelligence that makes it possible to create
computer systems that can learn from experiences without programming. Because it …

Abstract Background and Objectives: Diabetes is such a complicated disease that it is not
just chronic but damages the blood glucose processing system of the human body also both …