An intelligent diabetic patient tracking system based on machine learning for E-health applications
Background: Continuous surveillance helps people with diabetes live better lives. A wide
range of technologies, including the Internet of Things (IoT), modern communications, and …
range of technologies, including the Internet of Things (IoT), modern communications, and …
A secure framework for medical image by integrating watermarking and encryption through fuzzy based ROI selection
D Shamia, K Balasamy… - Journal of Intelligent & …, 2023 - content.iospress.com
Security, secrecy, and authenticity problems have arisen as a result of the widespread
sharing of medical images in social media. Copyright protection for online photo sharing is …
sharing of medical images in social media. Copyright protection for online photo sharing is …
Tomato Leaf Disease Detection through Machine Learning based Parallel Convolutional Neural Networks
Agriculture is the primary economic activity in a significant number of nations. Yet, plant-
related illnesses are the most difficult obstacle for farmers to overcome. The leaf is the …
related illnesses are the most difficult obstacle for farmers to overcome. The leaf is the …
Deep learning-based Object Detection in Underwater Communications System
MS Sangari, K Thangaraj, U Vanitha… - 2023 Second …, 2023 - ieeexplore.ieee.org
Being at the nexus of robotics and ocean engineering, underwater robots have been a
developing research area. They can be used for deep sea infrastructure inspections …
developing research area. They can be used for deep sea infrastructure inspections …
6G Wireless Communication Cyber Physical System Based Smart Healthcare Using Quantum Optimization with Machine Learning
The ground-breaking paradigm of artificial intelligence (AI) will provide universal access to
sixth generation (6G) edge computing-based E-healthcare. Internet world, where people …
sixth generation (6G) edge computing-based E-healthcare. Internet world, where people …
Deep Learning based Sentiment Analysis on Images
N Nimitha, S Bala, V Satheeswaran… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
Sentiment analysis is a powerful tool that has been gaining popularity among businesses in
recent years. It involves analyzing text, speech, or images to understand the emotions or …
recent years. It involves analyzing text, speech, or images to understand the emotions or …
Advanced Grape Leaf Disease Detection using Neural Network
V Kavithamani, G Pradeep, M Janani… - … on Electronics and …, 2023 - ieeexplore.ieee.org
In the realm of image categorization, the most recent iteration of convolutional neural
networks, often known as CNNs, has produced quite excellent results. This study explores a …
networks, often known as CNNs, has produced quite excellent results. This study explores a …
Integrated Model for Covid 19 Disease Diagnosis using Deep Learning Approach
S Suganyadevi, V Seethalakshmi… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
The severe Corona Virus Disease-2019 (COVID-19), which is caused by the severe acute
respiratory syndrome-Corona Virus-2 (SARS-CoV-2), has killed millions of people …
respiratory syndrome-Corona Virus-2 (SARS-CoV-2), has killed millions of people …
Machine Learning Approach for Mitigating Security Threats in IoT Environment
In today's world, a huge amount of data and information is transferred through wireless
networks. The Internet of Things (IoT) is a complex network that consists of diverse sensors …
networks. The Internet of Things (IoT) is a complex network that consists of diverse sensors …
Optimization techniques for preserving privacy in data mining
KR Devi, K Balasamy, M Prathyusha… - 2023 Fifth …, 2023 - ieeexplore.ieee.org
Data mining is one of the significant area where it plays a predominant role in extracting
important factors and trends from large volume of data. This covers various areas such as …
important factors and trends from large volume of data. This covers various areas such as …