As a classifier suitable for nonlinear samples, support vector machines (SVM) is widely used
in Electroencephalogram (EEG) signals pattern recognition. The performance of SVM …

Abstract The Black Widow Optimization (BWO) algorithm has garnered significant attention
within the realm of metaheuristic algorithms due to its potential to address diverse problems …

Automated Teller Machines (ATMs) are frequently used in recent years. The ATM has
become insecure as the number of crooks and their actions has increased dramatically. This …

With the rapid progress of sensor technology, underwater monitoring wireless sensor
network (UMWSN) equipped with water resource monitoring capabilities have surfaced …

Wireless sensor networks (WSN) comprise a set of numerous cheap sensors placed in the
target region. A primary function of the WSN is to avail the location details of the event …

Recent advancements in cloud computing (CC) technologies signified that several distinct
web services are presently developed and exist at the cloud data centre. Currently, web …

In recent times, Internet of Things (IoT) has become a hot research topic and it aims at
interlinking several sensor-enabled devices mainly for data gathering and tracking …

A collection of smaller, less expensive sensor nodes called wireless sensor networks
(WSNs) use their sensing range to gather environmental data. Data are sent in a multi-hop …

In recent times, real time wireless networks have found their applicability in several practical
applications such as smart city, healthcare, surveillance, environmental monitoring, etc. At …

In a wireless sensor network (WSN), there are sets of autonomous sensor nodes distributed
spatially that use wireless communication to track and document physical or environmental …