In the modern world, due to changing lifestyles, more people are infected by deadly
diseases, especially heart disorders. An early prognosis is the only possible way of …

In numerous scientific disciplines and practical applications, addressing optimization
challenges is a common imperative. Nature-inspired optimization algorithms represent a …

The number of users of the Internet has been continuously rising, with an estimated 5.1
billion users in 2023, which comprises around 64.7% of the total world population. This …

Network intrusion detection in the Internet of Things (IoT) framework has posed considerable
challenges in recent decades. A wide variety of machine-learning approaches are …

The main process involved in Deep learning is the optimization as it helps to select the best
from the different available alternatives such as weights and learning rates. Deep Neural …

The firefly algorithm is the tool of swarm intelligence in almost all areas of optimization and
engineering practice. Firefly algorithm and its variants have been used to solve diverse …

One of the most efficient metaheuristic algorithms that is used to solve hard optimization
problems is the firefly algorithm (FFA). In this paper we use this algorithm to solve a single …

The main process involved in Deep learning is the optimization as it helps to select the best
from the different available alternatives such as weights and learning rates. Deep Neural …

There is a brisk growth in Cloud computing with time that permits the users to avail
numerous services through internet. The services are available to the users as pay-per-use …