Revathy G.

Revathy G. has 14 years of teaching experience Published around 35 international journals Published around 35 international conferences and holds 4 indian design grant patents and 8 abroad patents

Publications

Word Prediction Using Fuzzy Sets and Computational Intelligence
D. Rajalakshmi, G. Revathy, V. Prakash, R. Bhavani. © 2025. 28 pages.
Fuzzy soft sets find an extensive assortment of applications in many decision-making problems. Fuzzy sets are applied to overcome uncertainty, and soft sets came into existence...
Evaluating the Degree of Risk Perception Among Kumbakonam Town Users of E-Commerce Platforms Using Artificial Intelligence
K. Nalini, G. Revathy. © 2025. 20 pages.
The rapid proliferation of e-commerce platforms has transformed traditional shopping behaviors, offering unparalleled convenience and accessibility. However, with these benefits...
IoT and Machine Learning for Early Prediction of Neurological Disorders
R. Shobana, Gautam Kumar, Suraj Kumar, Vicky Kumar, Joyal Jojo, G. Revathy. © 2025. 20 pages.
Smart living, healthcare, cognitive smart cities, and social systems are impartial a rare of the areas in which technology related to health is being applied these days. A...
Advanced Techniques in Predicting Student Dismissal Fuzzy Soft Sets vs. Machine Learning
D. Rajalakshmi, G. Revathy, T. Priyanka, M. Martinaa. © 2025. 22 pages.
Many times in our daily routines, we face challenging decisions that require careful consideration and analysis due to their complexity and significance. Achieving the most...
Fuzzy Soft Sets Meets Machine Learning: A New Era in Soil Quality Prediction and Management
D. Rajalakshmi, G. Revathy, M. Tamil Thendral. © 2025. 26 pages.
Soil quality is an important aspect in successful agriculture, impacting crop output and sustainability. Traditional soil prediction methods frequently encounter uncertainty and...
Electric Vehicle Energy Management Using Fuzzy Logics and Machine Learning
G. Revathy, Kiran Sree Pokkuluri, M. Shyamalagowri, S. Gokulraj. © 2025. 16 pages.
The work investigates the application of fuzzy logic and machine learning to the management of energy systems in electric cars (EVs). With the growing popularity of EVs...
Ensembled ML Approach to Check User Satisfaction Towards Assessment Evaluation in E-Learning
G. Revathy, A. Sairam, C. Nithiya, P. G. Palanimani. © 2025. 20 pages.
E-learning assessments play a crucial role in evaluating the progress and understanding of students in online education. Properly crafted evaluations aid in quantifying learning...
A Machine Learning Approach for Identifying High-Risk Adolescents for Cardiovascular Disease and Heart Failure
G. Revathy, C. Palani Nehru, R. Tamizh Kuzhali, R. Vanathi. © 2025. 16 pages.
Cardiovascular disease (CVD) and heart failure (HF) are growing health problems among adolescent populations, which have traditionally received less attention than adult...
Personalized Cardiovascular Risk Assessment in Pediatrics: Leveraging AI for Early Intervention Strategies
G. Revathy, Muruga Priya, R. Albert Paulin Michael, M. Dhipa. © 2025. 16 pages.
Cardiovascular disease (CVD) is still a significant cause of death worldwide, with risk factors developing as early as childhood. Early identification of high-risk people in...
Advanced Applications in Osmotic Computing
G. Revathy. © 2024. 370 pages.
The interaction of various service models, including edge computing and cloud computing, are quickly changing to better support microservices. This intricate weave of technology...
Prediction of Early Heart Attack for Post-COVID-19 Patients Using IoT Sensors and Machine Learning
G. Indirani, G. Revathy, Suresh Kumar Ramu Ganesan, P. G. Palanimani. © 2024. 17 pages.
Medical professionals who work in the field of heart disease have their own set of limitations, and they can only anticipate heart attacks with a 67% accuracy rate. Doctors...
Blockchain-Enabled Federated Learning for Secured Edge Data Communication Through a Decentralized Software-Defined Network
S. Selvi, G. Revathy, P. Brindha. © 2024. 14 pages.
Data communication through Edge devices in a secured channel for real time applications is one of the biggest concerns. Software Defined Network is a suitable network opted for...
Federated Learning and Fusion of IoT for Smart Healthcare Applications
G. Revathy, G. Indirani. © 2024. 17 pages.
Federated learning is also called collaborative learning which uses the decentralized approach to train the machine learning models. Federated learning, a groundbreaking approach...
Facial Emotion Recognition Using Osmotic Computing
P. Aurchana, R. Indhumathi, G. Revathy, A. Ramalingam. © 2024. 14 pages.
Emotion recognition refers to the process of identifying the emotions expressed by an individual, typically through their facial expressions, speech, body language, and sometimes...
Exploring Financial Empowerment for Women Professionals Through Deep Learning Technologies
Lalitha V., Revathy G.. © 2024. 18 pages.
As per Sustainable Development Goals Report 2022, “Achieve gender equality and empower all women and girls,” is placed as the fifth goal of that report. It describes Gender...
Credit Card Fraud Detection and Analysis With the Blend of Machine Learning and Blockchain
N. S. Kavitha, G. Revathy, S. Raja, P. Muruga Priya. © 2024. 22 pages.
Credit card frauds are drastically increasing in number as compared to earlier days. Criminals are using fake identities and make use of various technologies to trap the users...
GUI-Based End-to-End Deep Learning Model for Corn Leaf Disease Classification
G. Revathy, J. Jeyabharathi, Madonna Arieth, A. Ramalingam. © 2023. 21 pages.
Food security is a major problem worldwide. Ensuring that the crops produced are both safe and wholesome is crucial not only for people as the ultimate consumers of the crops...
GUI-Based End-to-End Deep Learning Model for Corn Leaf Disease Classification
G. Revathy, J. Jeyabharathi, Madonna Arieth, A. Ramalingam. © 2023. 22 pages.
Food security is a major problem worldwide. Ensuring that the crops produced are both safe and wholesome is crucial not only for people as the ultimate consumers of the crops...