Resource scheduling is indispensable for enhancing the system performance during big
data processing on clouds. It is highly useful for attaining significant utilization of computing …

Abstract Internet-of-Things (IoT) has become much more ubiquitous in the present era as
numerous novel applications employing it with technical units are being adapted to interact …

Abstract Internet of Medical Things (IoMT) solutions have proliferated rapidly in the COVID‐
19 pandemic era. The smart medical sensors capture real‐time data from remote patients …

In recent years, Deep Learning (DL) has gained significant attention and has been
extensively studied across various fields, including healthcare. In the context of healthcare …

Abstract The Internet of Medical Things (IoMT) is a network of medical devices, hardware
infrastructure, and software that allows healthcare information technology to be …

Abstract In Wireless Sensor Networks (WSNs), resource depletion attacks that focusses on
the compromization of routing protocol layer is identified to facilitate a major influence over …

Recent developments in the Internet of Things have led to the notion of the Internet of
Medical Things (IoMT) designed to enhance the standard of healthcare for user-specific …

Early detection and classification of breast cancer can be facilitated to initiate the most
effective treatment. As the second leading cause of death among women, early breast …

The term parameter investigation study is to describe the process of examining different
factors that have an effect on the efficiency of work scheduling algorithms in cloud …

In the 21st century various Biometric based user authentication schemes for Internet of
Things network applications are evolving. As a part, Vinoth et al. proposed an Biometric …