[HTML][HTML] Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
[HTML][HTML] Improved metaheuristic-driven energy-aware cluster-based routing scheme for IoT-assisted wireless sensor networks
The Internet of Things (IoT) is a network of numerous devices that are consistent with one
another via the internet. Wireless sensor networks (WSN) play an integral part in the IoT …
another via the internet. Wireless sensor networks (WSN) play an integral part in the IoT …
[HTML][HTML] Improved metaheuristics-based clustering with multihop routing protocol for underwater wireless sensor networks
Underwater wireless sensor networks (UWSNs) comprise numerous underwater wireless
sensor nodes dispersed in the marine environment, which find applicability in several areas …
sensor nodes dispersed in the marine environment, which find applicability in several areas …
[HTML][HTML] An efficient metaheuristic-based clustering with routing protocol for underwater wireless sensor networks
In recent years, the underwater wireless sensor network (UWSN) has received a significant
interest among research communities for several applications, such as disaster …
interest among research communities for several applications, such as disaster …
[HTML][HTML] Chaotic search-and-rescue-optimization-based multi-hop data transmission protocol for underwater wireless sensor networks
Underwater wireless sensor networks (UWSNs) have applications in several fields, such as
disaster management, underwater navigation, and environment monitoring. Since the nodes …
disaster management, underwater navigation, and environment monitoring. Since the nodes …
[HTML][HTML] Deep learning approaches for cyberbullying detection and classification on social media
S Neelakandan, M Sridevi… - Computational …, 2022 - ncbi.nlm.nih.gov
As a result of the ease with which the internet and cell phones can be accessed, online
social networks (OSN) and social media have seen a significant increase in popularity in …
social networks (OSN) and social media have seen a significant increase in popularity in …
Improved wild horse optimizer with deep learning enabled battery management system for internet of things based hybrid electric vehicles
P Vasanthkumar, AR Revathi, GR Devi… - Sustainable Energy …, 2022 - Elsevier
Abstract Internet of Things (IoT) become an emergent platform in wireless technologies in
design of electric vehicles (EVs) and hybrid electric vehicles (HEVs). Dynamic energy …
design of electric vehicles (EVs) and hybrid electric vehicles (HEVs). Dynamic energy …
Intelligent deep learning based ethnicity recognition and classification using facial images
G Sunitha, K Geetha, S Neelakandan… - Image and Vision …, 2022 - Elsevier
Recently, computer vision-based face image analysis has sparked considerable interest in a
variety of applications such as surveillance, security, biometrics and so on. The goal of the …
variety of applications such as surveillance, security, biometrics and so on. The goal of the …
Design of fuzzy logic based energy management and traffic predictive model for cyber physical systems
Abstract Cyber-Physical Systems (CPS) is a multidisciplinary effort that links cyber and
physical vectors. Cyber systems may be incorporated into any physical system, such as …
physical vectors. Cyber systems may be incorporated into any physical system, such as …
Green energy aware and cluster based communication for future load prediction in IoT
BT Geetha, PS Kumar, BS Bama… - Sustainable Energy …, 2022 - Elsevier
Green energy management has become a critical economic solution for efficient energy
consumption; however, the available literature is deficient in emphasising the importance of …
consumption; however, the available literature is deficient in emphasising the importance of …