An IoT-based agriculture maintenance using pervasive computing with machine learning technique

S Kailasam, SDM Achanta… - International Journal of …, 2022 - emerald.com
Purpose In cultivation, early harvest offers farmers an opportunity to increase production
while decreasing the chances of lower crop production rates, ensuring that the economy …

Heart disease detection based on feature fusion technique with augmented classification using deep learning technology

K Saikumar, V Rajesh, BS Babu - Traitement du Signal, 2022 - search.proquest.com
An accurate prediction of cardiac disease is a crucial task for medical and research
organizations. Cardiac patients are usually facing heart attacks sometimes tends to death …

Design and development of surface plasmon polariton resonance four-element triple-band multi-input multioutput systems for LTE/5G applications

K Saikumar, D Arulanantham, R Rajalakshmi… - Plasmonics, 2023 - Springer
Four-element triple-band systems have been studied and developed for long-term evolution
(LTE) and 5G mid-band (4.5–4.9 GHz) operation. The presented multi-input multioutput …

Design and development of intelligent voice personal assistant using python

V Appalaraju, V Rajesh, K Saikumar… - … on Advances in …, 2021 - ieeexplore.ieee.org
In this work, describe a virtual personal assistant for smart phones and other devices that
acts as a helping hand to improve various personal responsibilities, allowing people to focus …

Energy-efficient power-controlled resource allocation for mimo-based cognitive-enabled b5g/6g indoor-flying networks

HB Salameh, R Al-Maaitah, H Al-Obiedollah… - IEEE …, 2022 - ieeexplore.ieee.org
The proliferation of unmanned aerial vehicles (UAV), ie, drones, in communication systems
has recently attracted both industry and academia. This is mainly due to their flexible …

Fraud detection in credit card transactions using SVM and random forest algorithms

SKS Hussain, ESC Reddy, KG Akshay… - … conference on I …, 2021 - ieeexplore.ieee.org
This project's primary objective is to detect credit card fraud in the real world. Recent growth
has resulted in a significant increase in the number of credit card transactions. The objective …

A Hierarchical Network Management Strategy for Distributed CIIoT With Imperfect CSI

F Yang, S Zhang, C Liu, J Huang, T Yu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the distributed Cognitive Industrial Internet of Things (CIIoT), since industrial devices may
self-organize to determine their connection and dispersion and the network may be …

Detection and identification of employee attrition using a machine learning algorithm

RK Garigipati, K Raghu, K Saikumar - Handbook of research on …, 2022 - igi-global.com
This chapter proposes that employee attrition is the major circumstance faced in many
organizations. Usually, organizations face this attrition when there is pressing need of …

A novel classification model for high accuracy detection of Indian currency using image feature extraction process

A Murthy, PJ Rani, SM Almakassees… - AIP Conference …, 2023 - pubs.aip.org
A Novel Classification Model for High Accuracy Detection of Indian Currency Using Image
Feature Extraction Process Page 1 A Novel Classification Model for High Accuracy …

A Critical Cloud Security Risks Detection Using Artificial Neural Networks at Banking Sector

R Velmurugan, R Kumar, D Saravanan… - Artificial Intelligence for …, 2023 - Springer
Abstract This research uses Artificial Neural Network (ANN) algorithms to forecast cloud
computing and security issues. To forecast cloud security level performance, suggested …