In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …

The advent of the cloud computing paradigm has enabled innumerable organizations to
seamlessly migrate, compute, and host their applications within the cloud environment …

Cloud computing, a technology providing flexible and scalable computing resources, faces a
critical challenge in task scheduling, directly impacting system performance and customer …

Fog Computing continues to extend its usage by solving cloud computing challenges about
Internet of Things (IoT). Fog nodes as a processing resource, can perform tasks generated …

This article develops an evolutionary nature inspired algorithm based on the social behavior
of the goat, a pet of a farmer in a village life. In village life, we generally see the shepherds …

The main intent of this paper is to design and implement a novel methodology for lung
cancer prediction using the patient's health record. Feature extraction is performed using two …

The accurate determination of electrochemical parameters in lithium-ion batteries is crucial
for assessing battery health. This study conducted a comparative investigation utilizing 78 …

Flooding is a serious natural hazard. It causes considerable impact on human life, the
environment, and property, worldwide. Building a highly accurate flood susceptibility map …