Publications

The Internet of Things (IoT) is a fast-evolving technology that utilizes software, hardware, and computer devices to form a network of interconnected gadgets. IoMT integrates medical equipment and applications linked to healthcare IT systems in an IoT-based ecosystem. Moreover, IoMT for health care is a massive data generator produced by sensors or any medical device attached to the Internet. As a result, transferring IoMT data to remote cloud databases is a popular procedure. This research proposes an intelligent and green e-healthcare model for an early diagnosis of medical images. Moreover, the research focuses on image segmentation, an essential phase in image analysis, and presents a precise and robust segmentation model. Furthermore, the research considers the high energy consumption of transferring massive data through the cloud. It suggests a new energy-aware VM placement model in a fog-based environment.