The identification of digital market segments to make value-creating propositions is a major
challenge for entrepreneurs and marketing managers. New technologies and the Internet …

In this study, advanced machine learning techniques were utilized to forecast the
thermohydraulic performance of a double pipe heat exchanger (DPHE). Key variables …

Thalassemia is a group of inherited blood disorders that happen when hemoglobin, the
protein in red blood cells that carries oxygen, is not made enough. It is found all over the …

Phenylketonuria (PKU) is an autosomal recessive inborn error of metabolism where high
phenylalanine (Phe) concentrations cause irreversible intellectual disability that can be …

Many developed countries need to plan urban policies based on multidimensional factors
related to population change. However, empirical research has been inconsistent with …

Background: Beta thalassemia major (Cooley's anemia) is a congenital genetic blood
disorder resulting from a deficiency of β-globin chains due to severe anemia that depends …

Network and Communication industry has seen a huge advancement in the technology
aspect and also the way they function. It was due to the rapid increase in the use and …

The prevalence of type 2 diabetes is fairly high worldwide. Early identification is essential for
Diabetic management and prophylaxis. Due to their capacity to classify data, Machine …

The Internet of Things (IoT) is a rapidly growing network of interconnected devices that
enable various applications in diverse domains, such as smart homes, smart cities, and …

Analysis of computer algorithms that learn and improve on their own via use is what
machine learning (ML) is all about. It is an application of artificial intelligence (AI). ML …