Items where Author is "Hemamalini, U."
Article
Hemamalini, U. and KRITHIBA, Mrs (2026) WEB PHISHING DETECTION SYSTEM USING MACHINE LEARNING. INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH. ISSN 2321-9939 |
Divya, V. and Arunarani, S. and Hemamalini, U. and Bharathi, A. (2023) Blockchain Based Digital Twins for Authorization and Remote Resource Sharing. Blockchain Based Digital Twins for Authorization and Remote Resource Sharing.
Book Section
Prasanth, A. and Sharma, Vandana and Dhanaraj, Rajesh Kumar and Raj, Pethuru and Hemamalini, U. (2025) Modeling and Simulation for Digital Twins of Blockchain Technology. In: Blockchain-Based Digital Twins: Research Trends and ChallengeS. Apple Academic Press, New York. ISBN 9781003569046
Bharathi, A. and Hemamalini, U. and Prasanth, A. (2025) Augmented machine learning towards smart self-powered sensing systems. In: Self-Powered Sensors. Elsevier, pp. 31-45.
Conference or Workshop Item
Arasi, B.Ilakkiya and Hemamalini, U. (2026) A Study on Preprocessing Techniques Used for Gastrointestinal Cancer Detection in Endoscopy Images. In: 2026 7th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), Goathgaun, Nepal.
Hemamalini, U. and Dhamayanthi, M. K. and Santhosh, Geeta and Rajeshkumar, C. and Rajakumari, K. and Sakthivanitha, M. (2025) Multimodal Embedding Framework with Few-Shot Learning for Disease Prediction From Multimodal EHRs. In: 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.
Arasi, B.Ilakkiya and Hemamalini, U. (2025) A Survey on AI-Powered Solutions for Gastrointestinal Cancer: Endoscopy Image Segmentation and Classification. In: 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India.
Venkata Srinivas Akana, Chandra Mouli and Vinesh Kumar, G. and Hemamalini, U. and Arunarani, S. and Praveena, S. and Hemalatha, A. (2025) Enhancing the Security of Financial Transactions using Biometric Authentication and Multi-Task Deep Hybrid Networks. In: 2025 3rd International Conference on Data Science and Information System (ICDSIS), Hassan, India.
Varalakshmi, V. and Hemamalini, U. (2024) Liver Tumour Detection through Artificial Intelligence: A Comprehensive Study. In: 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal.
V, Vipin. and Nerlekar, Tanaya and Mishra, Nitin and Ravitheja, A and S, Kiruthika. and Hemamalini, U. (2024) An Efficient Method for Water Quality Prediction for Ungauged River Catchment Under Dual Scenarios Based on CNN-BiRNN-A Approach. In: 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), Bengaluru, India.
Akana, Chandra Mouli Venkata Srinivas and Mishra, Nitin and Kumar, K Surendra and Mhatre, Kuldeep and Hemamalini, U. and Nishant, Neerav (2024) An In-Depth Analysis of Advanced Data Analytics for Accurate Assessment and Mitigation of Extreme Weather Events. In: 2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS), Dehradun, India.
Mamatha, K and Joshua Oyebode, Oluwadare and Rexy V, Arul Mary and Kaliappan, S. and Suganthi, D. and Hemamalini, U. (2024) Integrated Optimization of Underwater Acoustic Ship-Radiated Noise Recognition Using Relative GMM-MAP-UBM Approach. In: 2024 3rd International Conference for Innovation in Technology (INOCON), Bangalore, India.
Sujatha, R. and Helen, D. and Hemamalini, U. and Divya, V. and Priya Dharshini, A. (2023) Gastrointestinal disease prediction using transfer learning. In: International Conference on Computer Vision and Internet of Things 2023 (ICCVIoT'23), 7-8 December 2023, Coimbatore, India.
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