Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …

Background There is no doubt that the recent surge in artificial intelligence (AI) research will
change the trajectory of next-generation health care, making it more approachable and …

Depression is considered by WHO as the main contributor to global disability and it poses
dangerous threats to approximately all aspects of human life, in particular public and private …

The existing healthcare system based on traditional management involves the storage and
processing of large quantities of medical data. The incorporation of the Internet of Things …

Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …

The advancements in genomics and biomedical technologies have generated vast amounts
of biological and physiological data, which present opportunities for understanding human …

Abstract The concept “Internet of Things”(IoT), which facilitates communication between
linked devices, is relatively new. It refers to the next generation of the Internet. IoT supports …

The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …