Sumathy G

@srmist.edu.in

Assistant Professor, Engineering & Technology
SRM Institute of Science and Technology

Sumathy G


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https://researchid.co/sumathy

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Vision and Pattern Recognition, Computer Science Applications, Artificial Intelligence
42

Scopus Publications

271

Scholar Citations

9

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • AI for Hospital Administration, Staff Scheduling, and Operational Efficiency: Transforming Healthcare Operations Through Intelligent Automation
    K. Saravanan, M. Sadhasivam, G. Sumathy, A. Maheshwari, M. G. Dinesh
    Breakthroughs in Smart Nursing with Generative AI, 2026
    Artificial Intelligence (AI) is reshaping hospital administration, workforce management, and operational efficiency by enabling intelligent automation, predictive insights, and data-driven decision-making. This chapter explores the integration of AI technologies including machine learning, deep learning, natural language processing, and reinforcement learning within key hospital operational domains such as administrative workflows, staff scheduling, resource allocation, and performance optimization. It highlights how AI enhances patient flow, reduces delays, improves asset management, and supports real-time operational intelligence. The chapter also discusses challenges related to data privacy, bias, system interoperability, governance, and workforce acceptance. Finally, emerging trends and future research directions, including digital twins, federated learning, and explainable AI, are explored to guide the development of resilient and efficient healthcare operations.
  • Gaussian weighting—based random walk segmentation and DCNN method for brain tumor detection and classification
    K. Vijila Rani, G. Sumathy, L. K. Shoba, P. Sivalakshmi
    Multimedia Tools and Applications, 2025
  • Virtual Electrode - Driven Graph and Contrastive Learning Framework for EEG Based Stress Detection
    Deeparani S, Sumathy G
    Proceedings 2025 International Conference on Recent Innovation in Science Engineering and Technology Icriset 2025, 2025
    Optimal electrode selection is a critical challenge in EEG-based mental stress detection. This work proposes a novel framework combining virtual electrode generation, Graph Convolutional Networks (GCNs), contrastive learning, and channel-wise attention to enhance spatial resolution, robustness, and adaptability across subjects. Virtual electrodes improve spatial detail through interpolation, while GCNs capture spatial correlations between real and synthetic electrodes. Contrastive learning enhances the discriminability of the features by making similar or closely related stress-level embeddings close and the dissimilar or far apart and data augmentation enhances the generalizing ability of the model when subjected to different conditions. The channel attention mechanism is used to dynamically emphasis or de-emphasize the electrode importance in order to minimize the noise effect. Through the thorough testing in DEAP and SWELL-KW datasets, the accuracy is excellent (95.21 percent), the generalization is good since the testing is done on subject-independent mode, and the system is robust to noisy and skewed data. Our method has been proposed as ready to be deployed in real-time, which is an excellent solution to robust and interpretable EEG-based stress detection.
  • Optimizing CNN-BPNN Architectures for High-Accuracy Diagnosis of Multi-Class Thyroid Disorders
    Sumathy G, Sreelekha Nedunuri, Subashree Guruchandar
    Proceedings 2025 International Conference on Recent Innovation in Science Engineering and Technology Icriset 2025, 2025
    Thyroid disease is prevalent throughout the world, and accurate diagnosis is crucial for treatment. In this study, we discuss a new approach to study thyroid diseases utilizing Convolutional Neural Networks (CNNs) for image classification and Backpropagation Neural Networks (BPNNs) for classifying datasets. Our dataset of thyroid images includes images collected via ultrasound, MRI, and CT scans. Each image is associated with the relevant thyroid disease category including hyperthyroidism, hypothyroidism, thyroid nodules, etc. In addition, the data was comprised of non-image features that included patient demographics, symptoms, and medical history. For classifying the images, we reviewed an architecture based on CNNs, which can automatically learn important attributes of the thyroid images. The CNN model has been trained using a labeled image dataset taking advantage of the convolutional and pooling layers for feature extraction, followed by fully connected layers for classification. A BPNN architecture has been created to classify the dataset and assess the subject in relation to non-image attributes associated with a thyroid disease. The BPNN is trained using back propagation, and by doing so, it learns the underlying patterns and relationships between a wide range of features, and the associated disease categories. The predictions have been drawn together and presented as a single system to assess the thyroid disease. The overall predictions were compiled using ensemble learning methods from the CNN and BPNN models, and the subsequent predictions improved the overall classification accuracy. The ability of the described system was assessed using non-overlapping test datasets, using measures of accuracy, precision, recall, f1-score and area under the ROC curve (AUC). The system was also validated against the domain experts, to ensure clinical usefulness and reliability. The outcome demonstrated the potential of integrating CNN's and BPNN's for a comprehensive evaluation of thyroid disease, providing a promising approach for accurate and reliable diagnosis in clinical practice.
  • Unveiling fetal heart health: harnessing auto-metric graph neural networks and Hazelnut tree search for ECG-based arrhythmia detection
    M. Suganthy, B. Sarala, G. Sumathy, W. T. Chembian
    Computer Methods in Biomechanics and Biomedical Engineering, 2025
    Fetal electrocardiogram (ECG) provides a non-invasive means to assess fetal heart health, but isolating the fetal signal from the dominant maternal ECG remains challenging. This study introduces the FHH-AMGNN-HTSOA-ECG-AD method for enhanced fetal arrhythmia detection. It employs Dual Tree Complex Wavelet Transform for denoising and utilizes an Auto-Metric Graph Neural Network (AMGNN) optimized by the Hazelnut Tree Search Algorithm (HTSOA). This integration enables accurate classification of normal and abnormal fetal heart signals. Experimental results demonstrate that the proposed approach significantly outperforms existing methods in terms of accuracy, precision, and specificity.
  • Enhanced Waste Segregation Using Vision Transformers and YOLO
    Sumathy G, Maria Emilia Camargo, Walter Priesnitz Filho, Mithileysh Sathiyanarayanan
    Proceedings 1st International Conference on Frontier Technologies and Solutions Icfts 2025, 2025
    Effective waste management is important due to rapid urbanization, meaning cities generate more waste. Managing it properly is important for the environment. The main challenge in the waste management process is separating waste into biodegradable (organic) and non biodegradable (inorganic) categories. Traditional methods of waste segregation are time-consuming, so there is a need for advanced technology. Our proposed state-of-the-art method for real-time object detection, YOLO, simplified the detection process, reduced the computational resources needed and made it faster and more efficient. To make Vision Transformers (ViTs) perform better, we used methods that enhance how they extract features and fit different datasets during training. That includes TACO and TrashNet. We perform hyperparameter tuning to optimize detection accuracy. The process yields better results for materials like clear glass (90%) and PET plastic (85%), while e-waste detection is only challenging for 45% of materials. The proposed method is revolutionizing waste segregation, minimizing labor and contributing to smart city initiatives. Future work will concentrate on enhancing classification accuracy for visually similar materials and e-waste materials.
  • Machine Learning for Software Development: Real-Time Communication System for Predicting Climate Condition
    Anurag Vijay Agrawal, G. Sumathy, A. Maheshwari, K. Saravanan, K. Revathi, Sampath Boopathi
    AI Frameworks and Tools for Software Development, 2025
    This chapter elaborates on how machine learning is changing climatic condition prediction and analysis. Conventional techniques for climatic modeling simply cannot handle the extraordinary complexity and non-linearity inherent in climate systems quite often. As such, with advanced machine learning techniques, such as deep learning, reinforcement learning, and ensemble methods, masked patterns can be discovered, the accuracy of predictions enhanced, and the uncertainties associated with climate data can be handled. Applications such as temperature forecasting, extreme weather prediction, and long-term climate trend analysis are discussed. It also discusses the integration of satellite data, IoT-enabled sensors, and high-performance computing to enhance real-time monitoring and forecasting capabilities. This chapter explores the potential of machine learning in enhancing climate science by enabling proactive decision-making, addressing data scarcity, interpretability, and ethical considerations.
  • Comparative Analysis on Deep Learning Models for Cryptocurrency Prediction
    Tanishtha Gulati, Hashwanth Y, C. Sherin Shibi, Babitha Lincy R, Jency Rubia J, G. Sumathy
    Proceedings of 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks Icicv 2025, 2025
    Cryptocurrency price prediction carries important social and economic implications as it directly influences financial markets and personal investments. Statistically, it is essential but difficult to make accurate predictions because of high volatility and sophisticated market behavior. Precision and responsiveness are difficult to achieve, and this has been demonstrated by conventional predictive models like ARIMA and basic recurrent neural networks. It is difficult for traditional machine learning models to identify sophisticated market patterns. This paper helps to overcome these challenges by investigating advanced deep learning methods, namely Temporal Fusion Transformer (TFT), Graph Neural Networks and ARIMA Hybrid Models, integrated with specialized data transformation methods. These modern approaches help in improving the price prediction accuracy, which is higher than that of conventional models, with Graph Neural Networks (GNN) demonstrating accuracy over 90% for all leading cryptocurrencies. Initial results show that in the process of forecasting price direction for cryptocurrencies such as Bitcoin, Ethereum, Litecoin, and Binance Coin, GNN has consistently outperformed traditional methods while TFT has also performed well as a runner up model.
  • SIRT: A distinctive and smart invasion recognition tool (SIRT) for defending IoT integrated ICS from cyber-attacks
    M.S. Kavitha, G. Sumathy, B. Sarala, J. Jasmine Hephzipah, R. Dhanalakshmi, T.D. Subha
    International Journal of Critical Infrastructure Protection, 2024
  • Real-time masked face recognition using deep learning-based double generator network
    G. Sumathy, M. Usha, S. Rajakumar, P. Jayapriya
    Signal Image and Video Processing, 2024
  • Novel algorithm machine translation for language translation tool
    K. Jayasakthi Velmurugan, G. Sumathy, K. V. Pradeep
    Computational Intelligence, 2024
  • Enhancing skin lesion classification with advanced deep learning ensemble models: a path towards accurate medical diagnostics
    Kavitha Munuswamy Selvaraj, Sumathy Gnanagurusubbiah, Reena Roy Roby Roy, Jasmine Hephzipah John peter, Sarala Balu
    Current Problems in Cancer, 2024
  • Elevating Financial Literacy through AI-Enhanced Real- Time Simulation based Learning
    Sumathy G, Somavarapu Susreel Reddy, Pathan Muzamil
    Proceedings of 9th International Conference on Science Technology Engineering and Mathematics the Role of Emerging Technologies in Digital Transformation Iconstem 2024, 2024
  • SmartCart Engine: Prompt-Powered Text Analysis and Product Validation
    Yash Goel, Vibhu Jain, Sumathy G
    Proceedings of 9th International Conference on Science Technology Engineering and Mathematics the Role of Emerging Technologies in Digital Transformation Iconstem 2024, 2024
  • Illegal Boat Detection Using Satellite Imagery with Deep Learning
    Anvi Singh, Aarav Prasad, Sumathy G
    Proceedings of the 2024 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2024, 2024
  • Efficient Net Based Brain Encephalopathy using Data Augmentation Techniques for Alzheimer and Peripheral Pathological Outcomes
    Sumathy G, Botcha S V Sandhya Sri, Gummidipudi Chanakya
    Proceedings of 9th International Conference on Science Technology Engineering and Mathematics the Role of Emerging Technologies in Digital Transformation Iconstem 2024, 2024
  • Retracted Article: Artificial intelligence for the identification of healthy fruits and vegetables using MMDL-ABO
    P. Subhashini, John De Britto C, K. Upendra Babu, G. Sumathy
    Journal of Experimental and Theoretical Artificial Intelligence, 2024
  • Intelligent Transportation Systems: Exploring Digital Twin Technologies in Smart Grid, Transportation Systems and Smart Cities
    Kanimozhi N, Sumathy G, Maheshwari A, Arunarani AR, Sherin Shibi C
    2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems Adics 2024, 2024
  • Multisensor Crop Guidance Realtime Engine with Cloud Analytics and Recommendation System
    Achal Kamboj, Anurag Malik, Anmol Agarwal, Jaiaditya Ghorpade, G Sumathy
    Proceedings 3rd International Conference on Advances in Computing Communication and Applied Informatics Accai 2024, 2024
  • StudentsConnect: A Web Application to Track Library Permissions and Leave Requests in Hostels Using MERN
    Darvin, Sumathy G, Maheshwari A, AR Arunarani, Sherin Shibi C, Kanimozhi N
    Proceedings of the 2024 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2024, 2024
  • Self-powered triboelectric sensors for biomedical applications
    R. Babitha Lincy, J. Jency Rubia, C. Sherin Shibi, N. Kanimozhi, C. Sherin Sheeba, G. Sumathy
    Self Powered Sensors A Path to Wearable Electronics, 2024
  • Machine learning in e-health and digital healthcare: Practical strategies for transformation
    T. K. Sethuramalingam, Rajkumar G. Nadakinamani, G. Sumathy, Sureshkumar Myilsamy
    Handbook of Research on AI and ml for Intelligent Machines and Systems, 2023
  • A study on AI and blockchain-powered smart parking models for urban mobility
    K. Sundaramoorthy, Ajeet Singh, G. Sumathy, A. Maheshwari, A. R. Arunarani, Sampath Boopathi
    Handbook of Research on AI and ml for Intelligent Machines and Systems, 2023
  • Quantum Teleportation and EntanglementBased Quantum Blind Signature Protocol for Quantum Secure Communication in Security Service Bases
    Sumathy G, Suresh A, Udendhran R, Maheshwari A, Arun Prasath Selvaraj
    ACM International Conference Proceeding Series, 2023
  • Radon transform-based improved single seeded region growing segmentation for lung cancer detection using AMPWSVM classification approach
    K. Vijila Rani, G. Sumathy, L. K. Shoba, P. Josephin Shermila, M. Eugine Prince
    Signal Image and Video Processing, 2023
  • Glioma brain tumor detection using dual convolutional neural networks and histogram density segmentation algorithm
    B. Sarala, G. Sumathy, A.V. Kalpana, J. Jasmine Hephzipah
    Biomedical Signal Processing and Control, 2023
  • A Machine Learning Approach to Segment the Customers of Online Sales Data for Better and Efficient Marketing Purposes
    Mathesh T, Sumathy G, Maheshwari A
    Proceedings of the International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering Iceconf 2023, 2023
  • Construction of Delaunay Triangles for Face Recognition in Images
    14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
  • AI Powered Transformative Post Generator for LinkedIn using LLM and Explicit Filter
    Vibhu Jain, Yash Goel, Sumathy G, M. Uma
    Proceedings of the 2023 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2023, 2023
  • Enhancement of Security in Cloud Computing Using Optimal Risk Access Control Model
    A R. Arunarani, C. Sherin Shibi, N. Kanimozhi, G. Sumathy, A. Maheshwari
    Proceedings of the 2023 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2023, 2023
  • An Efficient Prevention and Challenges in Wireless Sensor Networks for Energy and Security Concern
    Sumathy G, K. Geetha, Maheshwari A, AR Arunarani, Prithi Samuel
    Proceedings of the International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering Iceconf 2023, 2023
  • Hybrid Genetic Algorithm with a New Fitness Measure of Clusters for Training Special Children
    A Maheshwari, AR Arunarani, C Sherin Shibi, N Kanimozhi, G Sumathy, R Udendhran
    Proceedings of the 2023 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2023, 2023
  • Hybrid K-Means Clustering for Grouping the Special Children Using Computational Techniques
    G Sumathy, A Maheshwari, AR Arunarani, C SherinShibi, N Kanimozhi, R Udendhran
    Proceedings of the 2023 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2023, 2023
  • Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms
    R. Reena Roy, Leninisha Shanmugam, A. Vinothini, Nirmala Venkatachalam, G. Sumathy, Bhavadharini Murugeshan, P. Mercy Rajaselvi Beaulah, Gizachew Assefa Kerga
    Journal of Chemistry, 2023
  • Distance-Based Method used to Localize the Eyeball Effectively for Cerebral Palsy Rehabilitation
    G. Sumathy, J. Arokia Renjit
    Journal of Medical Systems, 2019
  • Segmentation of human eye pupil with novel grid based localization computing
    G. Sumathy, J. Arokiya Renjith
    Indian Journal of Public Health Research and Development, 2019
  • Eye point center localization through distance vector fields and improved grid based measure of eye field rotation
    Journal of Advanced Research in Dynamical and Control Systems, 2019
  • Effective eye pupil localization with enhanced shape isotope cornea curvature technique
    G. Sumathy, Arokia Renjith
    Iconstem 2017 Proceedings 3rd IEEE International Conference on Science Technology Engineering and Management, 2017
  • Cryptography with dynamic password
    Journal of Chemical and Pharmaceutical Sciences, 2015
  • A survey of vision stimulation for cerebral palsy rehabilitation
    International Journal of Applied Engineering Research, 2015
  • A survey of vision and speech stimulation for cerebral palsy rehabilitation
    G. Sumathy, Arokia Renjith
    2014 International Conference on Control Instrumentation Communication and Computational Technologies Iccicct 2014, 2014
  • Morphological analysis of the maxillary arch and hard palate in edentulous maxilla of South Indian dry skulls
    Sekar Suresh, Govindaraj Sumathy, Mohammad Raziya Banu, Krishnaswami Kamakshi, Seppan Prakash
    Surgical and Radiologic Anatomy, 2012

RECENT SCHOLAR PUBLICATIONS

  • AI for Hospital Administration, Staff Scheduling, and Operational Efficiency: Transforming Healthcare Operations Through Intelligent Automation
    K Saravanan, M Sadhasivam, G Sumathy, A Maheshwari, MG Dinesh
    Breakthroughs in Smart Nursing With Generative AI, 213-240 , 2026
    2026
  • Optimizing CNN-BPNN Architectures for High-Accuracy Diagnosis of Multi-Class Thyroid Disorders
    G Sumathy, S Nedunuri, S Guruchandar
    2025 International Conference on Recent Innovation in Science Engineering … , 2025
    2025
  • Virtual Electrode-Driven Graph and Contrastive Learning Framework for EEG Based Stress Detection
    S Deeparani, G Sumathy
    2025 International Conference on Recent Innovation in Science Engineering … , 2025
    2025
  • Unveiling fetal heart health: harnessing auto-metric graph neural networks and Hazelnut tree search for ECG-based arrhythmia detection
    M Suganthy, B Sarala, G Sumathy, WT Chembian
    Computer Methods in Biomechanics and Biomedical Engineering 28 (10), 1671-1684 , 2025
    2025
  • Comparative Analysis on Deep Learning Models for Cryptocurrency Prediction
    T Gulati, Y Hashwanth, CS Shibi, G Sumathy
    2025 6th International Conference on Intelligent Communication Technologies … , 2025
    2025
  • Illegal Boat Detection Using Satellite Imagery with Deep Learning
    S Anvi, P Aarav, G Sumathy
    2024 International Conference on Innovative Computing, Intelligent … , 2025
    2025
  • Gaussian weighting—based random walk segmentation and DCNN method for brain tumor detection and classification
    KV Rani, G Sumathy, LK Shoba, P Sivalakshmi
    Multimedia Tools and Applications 84 (8), 4675-4702 , 2025
    2025
    Citations: 3
  • Interactive Virtual Reality Skill Enhancer for Girls with Autism Spectrum Disorder and Intellectual Disabilities: A Mixed Methods Study
    G Sumathy, A Singh, A Prasad
    Journal of Science 15, 100122 , 2025
    2025
  • Machine Learning for Software Development: Real-Time Communication System for Predicting Climate Condition
    AV Agrawal, G Sumathy, A Maheshwari, K Saravanan, K Revathi, ...
    AI Frameworks and Tools for Software Development, 287-306 , 2025
    2025
  • Self-powered triboelectric sensors for biomedical applications
    RB Lincy, JJ Rubia, CS Shibi, N Kanimozhi, CS Sheeba, G Sumathy
    Self-Powered Sensors, 139-157 , 2025
    2025
    Citations: 2
  • StudentsConnect: A Web Application to Track Library Permissions and Leave Requests in Hostels Using MERN
    G Sumathy, A Maheshwari, A AR, C Sherin Shibi, N Kanimozhi
    2024 International Conference on Innovative Computing, Intelligent … , 2024
    2024
  • SIRT: A distinctive and smart invasion recognition tool (SIRT) for defending IoT integrated ICS from cyber-attacks
    MS Kavitha, G Sumathy, B Sarala, JJ Hephzipah, R Dhanalakshmi, ...
    International Journal of Critical Infrastructure Protection 47, 100720 , 2024
    2024
    Citations: 4
  • Real-time masked face recognition using deep learning-based double generator network
    G Sumathy, M Usha, S Rajakumar, P Jayapriya
    Signal, Image and Video Processing 18 (Suppl 1), 325-334 , 2024
    2024
    Citations: 5
  • Intelligent Transportation Systems: Exploring Digital Twin Technologies in Smart Grid, Transportation Systems and Smart Cities
    N Kanimozhi, G Sumathy, A Maheshwari, AR Arunarani, C Sherin Shibi
    2024 International Conference on Advances in Data Engineering and … , 2024
    2024
    Citations: 9
  • Elevating Financial Literacy through AI-Enhanced Real-Time Simulation based Learning
    G Sumathy, SS Reddy, P Muzamil
    2024 Ninth International Conference on Science Technology Engineering and … , 2024
    2024
  • SmartCart Engine: Prompt-Powered Text Analysis and Product Validation
    Y Goel, V Jain
    2024 Ninth International Conference on Science Technology Engineering and … , 2024
    2024
  • Efficient Net Based Brain Encephalopathy using Data Augmentation Techniques for Alzheimer and Peripheral Pathological Outcomes
    G Sumathy, BSVS Sri, G Chanakya
    2024 Ninth International Conference on Science Technology Engineering and … , 2024
    2024
  • A Study on AI and Blockchain-Powered Smart Parking Models for Urban Mobility
    K Sundaramoorthy, A Singh, G Sumathy, A Maheshwari, AR Arunarani, ...
    Handbook of Research on AI and ML for Intelligent Machines and Systems, 223-250 , 2024
    2024
    Citations: 97
  • Machine Learning in E-Health and Digital Healthcare: Practical Strategies for Transformation
    TK Sethuramalingam, RG Nadakinamani, G Sumathy, S Myilsamy
    Handbook of Research on AI and ML for Intelligent Machines and Systems, 276-304 , 2024
    2024
    Citations: 4
  • Hybrid K-Means Clustering for Grouping the Special Children Using Computational Techniques
    G Sumathy, A Maheshwari, AR Arunarani, C SherinShibi, N Kanimozhi, ...
    2023 International Conference on Innovative Computing, Intelligent … , 2023
    2023
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • A Study on AI and Blockchain-Powered Smart Parking Models for Urban Mobility
    K Sundaramoorthy, A Singh, G Sumathy, A Maheshwari, AR Arunarani, ...
    Handbook of Research on AI and ML for Intelligent Machines and Systems, 223-250 , 2024
    2024
    Citations: 97
  • Glioma brain tumor detection using dual convolutional neural networks and histogram density segmentation algorithm
    B Sarala, G Sumathy, AV Kalpana, JJ Hephzipah
    Biomedical Signal Processing and Control 85, 104859 , 2023
    2023
    Citations: 41
  • Radon transform-based improved single seeded region growing segmentation for lung cancer detection using AMPWSVM classification approach
    KV Rani, G Sumathy, LK Shoba, PJ Shermila, ME Prince
    Signal, Image and Video Processing 17 (8), 4571-4580 , 2023
    2023
    Citations: 22
  • Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms
    PMRB Gizachew Assefa Kerga R. Reena Roy,1 Leninisha Shanmugam,1 A. Vinothini ...
    Journal of Chemistry 2023 , 2023
    2023
    Citations: 13
  • An efficient prevention and challenges in wireless sensor networks for energy and security concern
    G Sumathy, K Geetha, A Maheshwari, AR Arunarani, P Samuel
    2023 International Conference on Artificial Intelligence and Knowledge … , 2023
    2023
    Citations: 13
  • Traffic light pre-emption control system for emergency vehicles
    P Priya, A Jose, G Sumathy
    SSRG International Journal of Electronics and Communication Engineering … , 2015
    2015
    Citations: 12
  • A machine learning approach to segment the customers of online sales data for better and efficient marketing purposes
    T Mathesh, G Sumathy, A Maheshwari
    2023 International Conference on Artificial Intelligence and Knowledge … , 2023
    2023
    Citations: 10
  • Intelligent Transportation Systems: Exploring Digital Twin Technologies in Smart Grid, Transportation Systems and Smart Cities
    N Kanimozhi, G Sumathy, A Maheshwari, AR Arunarani, C Sherin Shibi
    2024 International Conference on Advances in Data Engineering and … , 2024
    2024
    Citations: 9
  • A survey of vision and speech stimulation for cerebral palsy rehabilitation
    G Sumathy, A Renjith
    2014 International Conference on Control, Instrumentation, Communication and … , 2014
    2014
    Citations: 9
  • AI powered transformative post generator for LinkedIn using LLM and explicit filter
    V Jain, Y Goel, M Uma
    2023 International Conference on Innovative Computing, Intelligent … , 2023
    2023
    Citations: 8
  • Distance-based method used to localize the eyeball effectively for cerebral palsy rehabilitation
    G Sumathy, J Arokia Renjit
    Journal of Medical Systems 43 (8), 262 , 2019
    2019
    Citations: 8
  • Radon transform-based improved single seeded region growing segmentation for lung cancer detection using AMPWSVM classification approach. SIViP 17: 4571–4580
    KV Rani, G Sumathy, LK Shoba
    2023
    Citations: 7
  • Real-time masked face recognition using deep learning-based double generator network
    G Sumathy, M Usha, S Rajakumar, P Jayapriya
    Signal, Image and Video Processing 18 (Suppl 1), 325-334 , 2024
    2024
    Citations: 5
  • SIRT: A distinctive and smart invasion recognition tool (SIRT) for defending IoT integrated ICS from cyber-attacks
    MS Kavitha, G Sumathy, B Sarala, JJ Hephzipah, R Dhanalakshmi, ...
    International Journal of Critical Infrastructure Protection 47, 100720 , 2024
    2024
    Citations: 4
  • Machine Learning in E-Health and Digital Healthcare: Practical Strategies for Transformation
    TK Sethuramalingam, RG Nadakinamani, G Sumathy, S Myilsamy
    Handbook of Research on AI and ML for Intelligent Machines and Systems, 276-304 , 2024
    2024
    Citations: 4
  • Gaussian weighting—based random walk segmentation and DCNN method for brain tumor detection and classification
    KV Rani, G Sumathy, LK Shoba, P Sivalakshmi
    Multimedia Tools and Applications 84 (8), 4675-4702 , 2025
    2025
    Citations: 3
  • Self-powered triboelectric sensors for biomedical applications
    RB Lincy, JJ Rubia, CS Shibi, N Kanimozhi, CS Sheeba, G Sumathy
    Self-Powered Sensors, 139-157 , 2025
    2025
    Citations: 2
  • Hybrid K-Means Clustering for Grouping the Special Children Using Computational Techniques
    G Sumathy, A Maheshwari, AR Arunarani, C SherinShibi, N Kanimozhi, ...
    2023 International Conference on Innovative Computing, Intelligent … , 2023
    2023
    Citations: 1
  • Enhancement of security in cloud computing using optimal risk access control model
    AR Arunarani, CS Shibi, N Kanimozhi, G Sumathy, A Maheshwari
    2023 International Conference on Innovative Computing, Intelligent … , 2023
    2023
    Citations: 1
  • Segmentation of Human Eye Pupil with Novel Grid Based Localization Computing
    ARJ Sumathy. G
    Indian Journal of Public Health Research & Development 10 (7), 35-41 , 2019
    2019
    Citations: 1