With the increasing growth and availability of data, Artificial Intelligence (AI) based black-box
models have shown significant effectiveness to solve real-world and mission-critical …

Data mining techniques are applied in many applications as a standard procedure for
analyzing the large volume of available data, extracting useful information and knowledge to …

Diabetes mellitus is a common chronic disease that has affected millions of people in the
world today. Among all types of diabetes, Type 2 diabetes mellitus (T2DM) is very common …

The timely identification of autism spectrum disorder (ASD) in children is imperative to
prevent potential challenges as they grow. When sharing data related to autism for an …

The need for emergency medical diagnosis especially in developing countries where the
access to well trained and qualified medical personnel is quite difficult and due to the very …

ABSTRACT COVID-19 is an illness caused by a novel coronavirus also known as severe
acute respiratory syndrome coronavirus 2, which was first identified in the City of Wuhan …

Interrupting, altering, or stealing autism-related sensitive data by cyber attackers is a
lucrative business which is increasing in prevalence on a daily basis. Enhancing the security …

With the increasing growth and availability of data, Artificial Intelligence (AI) based black-box
models have shown significant effectiveness to solve realworld and mission-critical …

The nutritional status of toddlers is a factor that needs to be considered in maintaining their
health because toddlerhood is a developmental period that is vulnerable to nutrition. Death …

Every cloud platform has a large number of software components, making it difficult to
manage the security of the entire system. This paper discusses the requirement for an …