Items where Author is "Hemamalini, U."
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
Conference or Workshop Item
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.
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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