Prediction and diagnosis of cardiovascular disease using cloud and machine learning design
Predicting and accurately identifying heart disease is a significant challenge in the field of medicine, and the problem of cardiovascular disease predetermine in the health care system is regarded as an essential challenge. Patients have access ...
Virtual machine scheduling and migration management across multi-cloud data centers: blockchain-based versus centralized frameworks
Efficiently managing virtual resources in the cloud is crucial for successful recourse utilization. Scheduling is a vital technique used to manage Virtual Machines (VMs), enabling placement and migration between hosts located in the same or ...
Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing
To facilitate flexible manufacturing, modern industries have incorporated numerous modular operations such as multi-robot services which can be expediently arranged or offloaded to other production resources. However, complex manufacturing ...