[PDF][PDF] An enhanced self-learning-based clustering scheme for real-time traffic data distribution in wireless networks

A Jain, T Mehrotra, A Sisodia, S Vishnoi, S Upadhyay… - Heliyon, 2023 - cell.com
The process of examining the data flow over the internet to identify abnormalities in wireless
network performance is known as network traffic analysis. When analyzing network traffic …

An Optimized Bio-inspired Localization Routing Technique for Sustainable IIoT Networks & Green Cities

P Chithaluru, F Al-Turjman, T Stephan, M Kumar… - Sustainable Cities and …, 2023 - Elsevier
Abstract The industrial Internet of Things (IIoTs) network life is shortened due to sensor node
(SN) energy limitations and computational capability. As a result, optimum node location …

An enhanced consortium blockchain diversity mining technique for IoT metadata aggregation

P Chithaluru, F Al-Turjman, R Dugyala… - Future Generation …, 2024 - Elsevier
Over the last two decades, Internet of Things (IoT) networks have grown exponentially.
Although the devices have relatively low memory, resource, and processing capability, the …

A cooperation federated forwarder selection technique for maximizing network lifetime in wireless sensor network

R Tiwari, P Chithaluru, K Kumar, M Kumar, T Stephan - Sādhanā, 2023 - Springer
Abstract Wireless Sensor Network (WSN) fulfills the requirements to solve real-life
applications due to their unattended nature. But, the main constraint faced by researchers is …

An Artificial Neural Network for Predicting Groundnut Yield Using Climatic Data

H Sajindra, T Abekoon, EM Wimalasiri, D Mehta… - AgriEngineering, 2023 - mdpi.com
Groundnut, being a widely consumed oily seed with significant health benefits and
appealing sensory profiles, is extensively cultivated in tropical regions worldwide. However …

Statistical and neural intelligence modeling for basil seed mucilage extraction optimization: Implications for sustainable and cost-effective industrial plant products

S Hasan, MA Hasan, MU Hassan, M Amin… - Industrial Crops and …, 2023 - Elsevier
The upsurge in exigency of environmental-friendly and vigorous plant-based products has
spurred a substantial increase in the use of plant-based biopolymers, most conspicuously …

Novel Ocean Wave Height and Energy Spectrum Forecasting Approaches: An Application of Semi-Analytical and Machine Learning Models

I Elkhrachy, A Alhamami, SH Alyami, A Alviz-Meza - Water, 2023 - mdpi.com
Accurate and reliable wave forecasting is crucial for optimizing the performance of various
marine operations, such as offshore energy production, shipping, and fishing. Meanwhile …

Multi-objective optimization and performance improvement of CD nozzle design parameters for cold spray coating process using RSM, ANN and GA

A Mehmood, M Zunaid, AK Madan - Materials Today Communications, 2024 - Elsevier
This study presents the multi-objective optimization of the convergent-divergent (CD) nozzle
for the cold spray (CS) process and investigates the impact of five key nozzle design …

An opportunistic energy‐efficient dynamic self‐configuration clustering algorithm in WSN‐based IoT networks

S Tumula, Y Ramadevi, E Padmalatha… - International Journal …, 2024 - Wiley Online Library
The demand for the Internet of Things (IoT) has significantly increased in the current
scenario; specific sectors that require IoT include industrial automation, home control, health …

An optimized meta‐heuristic clustering‐based routing scheme for secured wireless sensor networks

G Kiran Kumar, SK Prashanth… - International Journal …, 2024 - Wiley Online Library
Privacy and security present significant challenges in wireless sensor networks (WSNs). In
order to enhance security, the sensor network is equipped with high throughput. While the …