snarayan3@gitam.edu
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As an Academician, I strongly believe that “there must be a strong reason for anyone to do anything, may it be Learning/Listening/Teaching/Research”. The self-realization of why we must work is crucial to motivate and keep me determined. As a teacher, I want to awaken the students to realize the reasons underlying the learning process and how it benefits them in the long run. The motivation and realization help me grab students' attention towards my lectures
Research Publications
- A modified deep semantic binarization network for degradation removal in palm leaf manuscripts, Rani, N. Shobha (2024). Multimedia Tools and Applications,
- Towards Importance of Comprehensive Color Features Analysis using Iterative Golden Ratio Proportions for Alphonso Mango Ripening Stage Classification by Adapting to Natural Progressive Ripening Method, Journal of Food Composition and Analysis, N Shobha Rani, Chandra Sekhar Nandi, Akshatha Prabhu, 2023, 105873, ISSN 0889-1575,
- TopoGeoFusion: Integrating object topology based feature computation methods into geometrical feature analysis to enhance classification performance NS Rani, KS Sai, BR Pushpa, AS Krishna, MA Sangamesha, KR Bhavya, ... MethodsX 13, 102859
- PLM-Res-U-Net: A light weight binarization model for enhancement of multi-textured palm leaf manuscript images N Shobha Rani, TM Akhilesh, BJB Nair, KS Koushik, EB Smith Digital Applications in Archaeology and Cultural Heritage 34, e00360
- On the importance of integrating convolution features for Indian medicinal plant species classification using hierarchical machine learning approach B.R.Pushpa, N. Shobha Rani, M Chandrajith, N Manohar, SSK Nair Ecological Informatics 81, 102611
Expertise
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Computer Vision, Document Image processing, Pattern Recognition.;Precision Agriculture; Post harvest food technology
Authored Books
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A Comprehensive Study on Patient Privacy and Data Security in Big Data Healthcare Applications R Devadas, V Hiremani, N. Shobha Rani, KR Bhavya, R Sapna Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems, 23-41
