J. Anitha Ruth

|J. Ruth - Editor|N/A

Publications

Preface
Preface
J. Anitha Ruth, Vijayalakshmi G.V. Mahesh, P. Visalakshi, R. Uma, A. Meenakshi. © 2024. 6 pages.
This Preface is included in the book Innovative Machine Learning Applications for Cryptography.
Prediction Analysis of Natural Disasters Using Machine Learning
Prediction Analysis of Natural Disasters Using Machine Learning
P. Ramkumar, R. Uma, D. Satishkumar, J. Anitha Ruth, S. Harikrishna. © 2024. 11 pages.
At present, the entire world has suffered a lot due to natural calamities such as torrential rain flows, earthquakes, tsunamis, storms, as well as global warming. Natural...
Secure Data Transmission in the WSN Sector Utilizing a Heuristic Multi-Level Clustering Mechanism With Dynamic Trust Computation
Secure Data Transmission in the WSN Sector Utilizing a Heuristic Multi-Level Clustering Mechanism With Dynamic Trust Computation
Uma R., P. Ramkumar, J. Anitha Ruth, R. Valarmathi, C. Vinola. © 2024. 9 pages.
Wireless sensor networks (WSNs) utilize a network of small sensor nodes to collect, process, and report observed data back to a central location. A multi-trust paradigm based on...
A Smart Anomaly Detection Method in Cyber Physical Systems Using Machine Learning
A Smart Anomaly Detection Method in Cyber Physical Systems Using Machine Learning
P. Ramkumar, B. Shadaksharappa, R. Uma, J. Anitha Ruth, R. Valarmathi. © 2024. 10 pages.
Cyber-Physical systems (CPS) are recognized by a broad range of complicated multi-tasking fixings with good interaction which results in combining cyber areas within the actual...
Early Prediction of Cardiac Arrest Using Data Mining Algorithms
Early Prediction of Cardiac Arrest Using Data Mining Algorithms
P. Ramkumar, R. Uma, D. Sivakumar, J. Anitha Ruth. © 2024. 13 pages.
Cardiac arrest is a potentially fatal loss of heart function that occurs suddenly and without warning. Predicting cardiac arrest early could increase the likelihood of survival...
COVID-19 Contamination Extraction From CT Images Using an Adaptive Network
COVID-19 Contamination Extraction From CT Images Using an Adaptive Network
Poonguzhali Arunachalam, P. Ramkumar, R. Uma, J. Anitha Ruth. © 2024. 30 pages.
The COVID-19 pandemic is one of the most significant threats to the general population's health in the 21st century. In this study, a novel meta-learning based FSS model is...
Investigation of Deep Fake Images Using Pre-Trained CNN Frameworks
Investigation of Deep Fake Images Using Pre-Trained CNN Frameworks
Anitha Ruth J., Uma R., Vijayalakshmi G. V. Mahesh, P. Ramkumar. © 2022. 13 pages.
Deep learning technologies, such as neural networks, have tackled complicated issues from large-scale data processing to computer vision and human-level control. Editing...