Items where Author is "Nagasundaram, S."

Article

A S, Sridhar and Nagasundaram, S. (2025) SVM-RideNN: hybrid support vector machine-rider neural network based sentiment analysis using product review. Australian Journal of Electrical and Electronics Engineering. pp. 1-13. ISSN 1448-837X

Sridhar, A. S. and Nagasundaram, S. (2024) Sentiment classification for review rating prediction based on hybrid reaction diffusion support vector neural network. Social Network Analysis and Mining, 14 (1). ISSN 1869-5469

Husain Bathushaw, M. and Nagasundaram, S. (2024) The Role of Blockchain and AI in Fortifying Cybersecurity for Healthcare Systems. International Journal of Computational and Experimental Science and Engineering, 10 (4). ISSN 2149-9144

Book Section

Bathushaw, M. Husain and Nagasundaram, S. (2025) Securing Healthcare Systems: Modern Threats and Strategic Developments in Cybersecurity. In: Lecture Notes in Networks and Systems ((LNNS,volume 1241)). Springer Nature Link, pp. 303-315.

Conference or Workshop Item

Bathushaw, M. Husain and Nagasundaram, S. and Puthilibai, G. and Chitradevi, S and R, Darshan. (2025) Enhancing Cybersecurity in IoT-Enabled Healthcare Systems: Challenges and Future Directions. In: 2025 International Conference on Computing and Communication Technologies (ICCCT), Chennai, India.

Lavanya, N. and Nagasundaram, S. (2025) Brain tumor classification using Hybrid RF+ DenseNet121. In: 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), Chennai, India.

Bathushaw, M. Husain and Nagasundaram, S. (2025) A Methodical Approach to Healthcare Cybersecurity: Handling Current Risks and Advancements. In: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), Goathgaun, Nepal.

Sridhar, A.S. and Nagasundaram, S. (2024) Product Reviews Based Sentimental Analysis by Feature Extraction and Classification Using Machine Learning Algorithm. In: 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Lavanya, N. and Nagasundaram, S. (2024) An Enhanced Architecture for Brain Tumor Segmentation with a Novel Hybrid NF-RCNN and Adam Optimizer. In: 2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), Chennai, India.

Nagasundaram, S. and Sindhuja, R. and Kanna, B. Rajesh and Rajalakshmi, S. and G, Shobana and Srivastava, Aviral (2023) Securing IoT-Edge Networks: Federated Deep Learning for Botnet Detection. In: 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India.

Lavanya, N. and Nagasundaram, S. (2023) Improving Brain Tumor MRI Images with Pre-Processing Techniques for Noise Removal. In: 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), Theni, India.

Lavanya, N. and Nagasundaram, S. (2023) A Survey of Brain Tumor Detection and Classification Based on Machine, Deep Learning and CNN Based Transfer Learning Techniques. In: 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

Nagasundaram, S. and Bobinath, B. N. and Shedthi, Ashwini and Rajalakshmi, K. and Humnekar, Trupti Dandekar and Millerjothi, M (2023) Analysis of the Requirement and Artificial Intelligence-based Resource Management System in Cloud. In: 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India.