Cloud computing is the on‐demand access to computer resources such as applications,
servers, data storage, development tools, networking capabilities, and other resources that …

Task scheduling in the cloud is a difficult optimization challenge. The cloud system is
assigned with a specific load based on the cloud architecture and user demands. However …

The epileptic seizure can be detected using electroencephalogram (EEG) signals. The
detection of epileptogenic region in brain is important for the detection of epilepsy disease …

Cloud services are rapidly growing and in high demand. Load Balancing (LB) is crucial for
optimizing the workload among Virtual Machines (VMs) to utilize resources effectively. This …

In this study, the cloud computing platform is equipped with a hybrid multi-objective meta-
heuristic optimization-based load balancing model. Physical Machine (PM) allocates a …

Cloud computing has played an important role in Information technology. Computational
and storage needs are fulfilled by cloud providers around the globe by setting up data …

Cloud services are rapidly evolving and has become a demand. Consequently, Load
Balancing (LB) is needed to enhance the use of resources by optimal distribution of …

Dynamic workloads with varying parameters are delivered to data centers to be scheduled
on virtual machines (VMs). These unreliable, inconsistent, shockingly rising workloads with …

This paper proposes a customized hybrid model of artificial neural network (ANN) and
genetic algorithms for an efficient diabetes disease prediction framework. Our customized …

There are specific issues in the multi-sensor systems used for water quality monitoring,
which prevents these systems for routine measurement of water samples. An important issue …