Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …

Virtual machines (VMs) are preferred by the majority of organizations due to their high
performance. VMs allow for reduced overhead with multiple systems running from the same …

Cloud computing has created paradigm transitions from traditional computing. Acquisition
rates increase with benefits such as lower costs and better utilization of resources. However …

At both clinical and diagnostic levels, machine learning technologies could help facilitate
medical decision-making. Prediction of sports injuries, for instance, is a key component of …

Recently, most of the critical problems of real-time applications have been solved by one of
the fast and most hastily growing technological tools, Machine Learning. The novel …

In recent years, China has been paying more and more attention to the development of the
sports industry, and many sports are no longer seen as a mere sport, but can be developed …

With the rapid progress of information technology, the application of the Internet of things
(IoT) technology has become more common, which also brings greater challenges to the IoT …

In this research manuscript, a new protocol is proposed for predicting the available space in
the cloud and verifying the security of stored data. The protocol is utilized for learning the …

In remote sensing (RS), deep learning (DL) has demonstrated exceptional performance. The
field of RS is finding that DL is becoming increasingly useful. The proliferation of cloud …

Cloud computing is a recent technology that facilitates wide access and storage on the
internet. Cloud computing faces few challenges like data loss, quality issues, and data …