Semantic Optimization in Lossless Data Compression for IoT-Driven Smart Healthcare Solutions

H Hashmi - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
In this study, we explore the potential of the Internet of Things (IoT) within the domain of
smart healthcare management applications, an area of growing importance in Computer …

Design and development of artificial intelligence assisted railway gate controlling system using internet of things

R Selvakumar, A Manimaran, G Janani… - The Scientific …, 2023 - scientifictemper.com
A improvised solution for the Indian Railways' human level crossing controls and the
attendant reliability issues they cause. In our nation, level crossings have been the scene of …

An Advanced Deep Learning Approach for Primary Osteoporosis Prediction Using Radiographs with Clinical Covariates

R Umamaheswari, D Lakshmi, VS Pandi… - 2023 7th …, 2023 - ieeexplore.ieee.org
A growing worry for world health is osteoporosis as a result of longer life expectancies. Its
early detection, however, is still difficult because the signs are frequently lacking. As a result …

WPTEV: Design and Development of Smart Wireless Electric Vehicle Charging System Using Wireless Power Transfer Technology and IoT

S Gomathi, J Jayaudhaya, VS Pandi… - 2023 7th …, 2023 - ieeexplore.ieee.org
Both the power and the range of EVs have improved dramatically in recent years. Many
different types are already on sale, and the amount of Electric Vehicles (EVs) on the road …

Optimization of Precoders for MIMO System for 6G Communication

J Sumithra, VNS Kumaran, G Bhavani… - 2023 International …, 2023 - ieeexplore.ieee.org
The goal of this work is to improve the efficiency and effectiveness of a dual-functional
communication and radar system. It uses a combination of novel precoder techniques to …

Experimental Analysis of Malware Detection and Classification System using Intelligent Deep Learning Methodology

K Indumathi, R Krishnaprasanna… - 2023 Fourth …, 2023 - ieeexplore.ieee.org
Computer system security relies heavily on the ability to identify and eliminate malware.
Signature-based approaches are widely used, although they are not able to effectively …

A Design of an Effective Methodology to Detect Glaucoma Disease using Intelligent Learning Strategy

D Shobana, G Akilarasu, J Sangeetha… - … on Smart Structures …, 2023 - ieeexplore.ieee.org
Globally, glaucoma is now among the leading causes of blindness. It is a chronic,
irreversible illness. Screening for glaucoma and detecting it early are crucial in the fight …

Novel and Robust Energy Efficient Protocol for Authentication Purpose in IIoT

D Kirubakaran, S Velmurugan… - 2023 International …, 2023 - ieeexplore.ieee.org
An developing technology called the Internet of Things (IoT) is anticipated to offer answers
for several industrial industries. Wireless sensor networks (WSNs), a foundational IoT …

An Experimental Evaluation of an Effective QR Code Based Duplicate Product Detection Using Blockchain Technology

R Geetha, D Jayakumar, P Prabakaran… - 2024 International …, 2024 - ieeexplore.ieee.org
Over the span of the last few years, innovations in blockchain technology have received a
great deal of attention. Currency exchange, which has a variety of applications in addition to …

Experimental Evaluation of Cyber Security Enabled Fake News Detection Scheme over Social Media Using Learning Principle

R Deepa, L Sudha, T Vijayaraj… - 2023 Annual …, 2023 - ieeexplore.ieee.org
Users of the internet now rely almost exclusively on social networking sites to keep up with
the latest developments via news. More people are exposed to breaking news on these sites …