A HYBRID MODEL USING GENETIC ALGORITHM FOR ENERGY OPTIMIZATION IN HETEROGENEOUS INTERNET OF BLOCKCHAIN THINGS

RM Babu, KP Satamraju, BN Gangothri… - Telecommunications …, 2024 - dl.begellhouse.com
ABSTRACT The Internet of Things (IoT) is a promising technology inspiring industries and
the public alike with its broad spectrum of applications adding intelligence to real-life …

[PDF][PDF] Precision agriculture in india–opportunities and challenges

AK Singh - Indian Journal of Fertilisers, 2022 - researchgate.net
Agriculture sector in India has been successful in not only meeting the production targets set
by the Government but also setting up new production records in almost all commodities …

Developing a novel energy efficient routing protocol in WSN using adaptive remora optimization algorithm

S Kaviarasan, R Srinivasan - Expert Systems with Applications, 2024 - Elsevier
Energy efficiency is a complicated process in designing Wireless Sensor Networks (WSNs).
Effective routing is a precise solution for the energy efficiency constraint in WSN owing to the …

Multi‐objective‐derived energy efficient routing in wireless sensor networks using hybrid African vultures‐cuckoo search optimization

A Asha, N Verma, I Poonguzhali - International Journal of …, 2023 - Wiley Online Library
Summary Wireless Sensor Network (WSN) plays an essential role in consumer electronics,
remote monitoring, an electromagnetic signal, and so forth. The functional capacity of WSN …

Security attacks on the improved SMS4-bsk encryption transmission system

R Rajagopal, K Kannan, N Nimitha… - 2021 5th …, 2021 - ieeexplore.ieee.org
The improved S MS 4-BS K algorithm is a symmetric key block cipher with a message block
size of 128-bit. The algorithm is developed to protect the data packets, over the unsecured …

An innovative statistical analysis of accessing public data anonymously in a cloud environment using hidden Markov model and comparing with support vector …

S Rajan, V Parthipan - AIP Conference Proceedings, 2023 - pubs.aip.org
The aim is to compare the accuracy for innovative accessing of public data anonymo usly in
cloud environments using the Hidden Markov model and comparing with the Support Vector …

HOEEACR: Hybrid Optimized Energy-Efficient Adaptive Clustered Routing for WSN

K Anusha, P Ajay, M Ramesh… - IETE Journal of …, 2024 - Taylor & Francis
Wireless Sensor Networks have been used for sensing and gathering data about an
environment from a remote location for many years in a variety of engineering applications …

Precise medical diagnosis for brain tumor detection and data sample imbalance analysis using enhanced kernel extreme learning machine model with deep belief …

VVV Reddy, SK Tiwari - 2022 14th International Conference …, 2022 - ieeexplore.ieee.org
To identify the brain tumor according to the categorial identification by using the symptoms.
Materials and Methods: To identify brain tumors using Kernel Extreme Learning Machine …

Face Identity Detection and Recognition using Novel Convolutional Neural Network in Comparison with Haar Cascade to Improve Accuracy

G Sumanth, KV Kanimozhi - 2022 14th International …, 2022 - ieeexplore.ieee.org
The main aim of the project is to recognize faces using the Novel Convolutional Neural
Network algorithm in comparison with the Haar Cascade algorithm for the Google AI images …

Performance Analysis of Placement prediction system using Support Vector Machine over Random Forest Algorithm

KV Kumar, P Malathi, S Ramesh - 2022 14th International …, 2022 - ieeexplore.ieee.org
The main purpose of the study is to propose an innovative Placement prediction system by
using Support Vector Machine and Random Forest Algorithm to predict the placement of …