Due to the proliferation of ICT during the last few decades, there is an exponential increase
in the usage of various smart applications such as smart farming, smart healthcare, supply …

Massive data collection in modern systems has paved the way for data-driven machine
learning, a promising technique for creating reliable and robust statistical models. By …

Abstract Decision Support Systems (DSS) have widely provided on intelligent human–
machine interactions like the Internet of Things (IoT). As the dimensions and complexity of …

Diabetic Retinopathy (DR) is one of the major causes of visual impairment and blindness
across the world. It is usually found in patients who suffer from diabetes for a long period …

This article provides a literature review of state-of-the-art machine learning (ML) algorithms
for disaster and pandemic management. Most nations are concerned about disasters and …

Purpose This paper aims to identify barriers toward the adoption of blockchain (BC)
technology in Indian health-care industry and also examines the significant issues of BC …

Infectious diseases continue to pose a major threat to global public health and require early
detection and effective response strategies. Despite advances in information technology and …

Technologies play an essential role in monitoring, managing, and self-management of
chronic diseases. Since chronic patients rely on life-long healthcare systems and the current …

The development of intelligent urban computing has carried out different critical smart
ecological and energy harvesting topics such as intelligent cities and societies. The main …

Abstract The use of Artificial Intelligence (AI) technologies in buildings can assist in reducing
energy consumption through enhanced control, automation, and reliability. This review aims …