The customer churn prediction (CCP) is one of the challenging problems in the telecom
industry. With the advancement in the field of machine learning and artificial intelligence, the …

Today, many metaheuristics algorithms have been developed are inspired by the physical
phenomena or behaviors of natural creatures that are very effective in solving complex …

A bipedal walking robot is a kind of humanoid robot. It mimics human behavior and is
devised to perform human-specific tasks. Currently, humanoid robots are not capable to …

The process of cluster head selection under the process of cluster formation in wireless
sensor networks is determined to be essential for extending the lifetime of the network. In …

This work presents the automatic classification of mammographic breast tissue density as it
plays a crucial role in morphological analysis for abnormality detection. The proposed work …

The emergence of wireless sensor networks (WSNs) increasingly attracts many researchers.
A big challenging issue in the WSN is to replace the sensor nodes when they run out of …

The lifetime of a Wireless Sensor Network (WSN) is determined by its energy restriction. One
of the conventional techniques used to maintain network connectivity is the utilization of the …

Energy efficient data collection with minimum delay is very essential for IoT applications
using sensors attached to Low Rate Wireless Personal Area Networks (LR-WPAN). The …

A stroke is a medicinal exigency and requires early prognosis in accordance with damage to
the brain from intrusion of its blood circulation, therefore, early diagnosis helps, medical …

A network of tiny sensors located at various regions for sensing and transmitting information
is termed as wireless sensor networks. The information from multiple network nodes reach …