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ORCIDR. Suganya 0001
Person information
- affiliation: Vellore Institute of Technology (VIT), School of Computer Science and Engineering, Chennai, Tamil Nadu, India
- affiliation: Thiagarajar College of Engineering, Department of Computer Science and Engineering, India
Other persons with the same name
- R. Suganya — disambiguation page
- R. Suganya 0002
![[0000-0002-6748-8309]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-6748-8309")
— Sri Krishna College of Technology, Department of Information Technology, Coimbatore, India
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2020 – today
- 2026
[j9]Sundara Srivathsan M, Lighittha P. R., Prithivraj S., Suganya Ramamoorthy, Vijayan Sugumaran:
VisionGuard: Cost-Sensitive AI Attestation with Quorum-Verified Blockchain Enforcement. J. Web Eng. 25(1): 103-134 (2026)- 2025
- [j8]Sonaa Rajagopal, Muralikrishnan Mani, Shyam Venkatraman, R. Suganya:
Personalized Solutions for Foot Health: Machine Learning-Based Foot Condition Detection, Classification, and Recommendation of Customized Footwear. IEEE Access 13: 114880-114900 (2025) - 2024
- [j7]Sasithradevi Anbalagan, R. Suganya, P. Prakash, S. Mohamed Mansoor Roomi, M. Vijayalakshmi, Sabari Nathan, P. Kasthuri, J. Persiya, L. Brighty Ebenezer, Sparsh Jain, Sshubam Verma, S. Balasubramanian, M. Sai Subramaniam, Talasu Sai Sriram, M. Pranav Phanindra Sai, Chandan Raj, Amandeep Yadav, Ritik Payak, Suman Paul Choudhury, Rohit Singh:
DePondFi'23 Challenge on Real-Time Pond Environment: Methods and Results. IEEE Access 12: 157975-157987 (2024) - [j6]Abhiram Sharma, R. Suganya, P. B. Krishna, Rudra Raj, Raja Kumar Murugesan:
Network Efficient Hierarchical Authentication Algorithm for Secure Communication in IoT and IoE. IEEE Access 12: 195926-195942 (2024) - [j5]Rampriya Rajendran Shanthi, Sabari Nathan, R. Suganya, Sahaya Beni Prathiba, P. Shunmuga Perumal, Wei Wang:
Lightweight railroad semantic segmentation network and distance estimation for railroad Unmanned aerial vehicle images. Eng. Appl. Artif. Intell. 134: 108620 (2024) - [c10]R. Suganya, Abhiram Sharma, R. Srivats, V. Kalyanasundaram, Selvanayaki Kolandapalayam Shanmugam:
Interpretable Deep Learning For Automated Retinal Damage Detection in Optical Coherence Tomography. IEEE Big Data 2024: 6101-6107 - [c9]Vijayalakshmi Ramasamy, Suganya Ramamoorthy, Gursimran Singh Walia, Eli Kulpinski, Aaron Antreassian:
Enhancing User Story Generation in Agile Software Development Through Open AI and Prompt Engineering. FIE 2024: 1-8 - [c8]R. Suganya, Shazil, Hiran V. Nath:
Cohesive Heartbeat Monitoring for Geolocation and Log Correlation in Campus Networks. ICCCNT 2024: 1-6 - 2023
- [c7]Abhijit Das, Saurabh Atreya, Aritra Mukherjee, Matej Vitek, Haiqing Li, Caiyong Wang, Guangzhe Zhao, Fadi Boutros, Patrick Siebke, Jan Niklas Kolf, Naser Damer, Sun Ye, Lu Hexin, Fan Aobo, You Sheng, Sabari Nathan, R. Suganya, Rampriya Rajendran Shanthi, Geetanjali Sharma, P. Priyanka, Aditya Nigam, Peter Peer, Umapada Pal, Vitomir Struc:
Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023. IJCB 2023: 1-10 - 2022
- [j4]Rampriya Rajendran Shanthi, R. Suganya, Sabari Nathan, P. Shunmuga Perumal:
A Comparative Assessment of Deep Neural Network Models for Detecting Obstacles in the Real Time Aerial Railway Track Images. Appl. Artif. Intell. 36(1) (2022) - 2021
- [j3]Ramanujam Elangovan, R. Sundareswaran, R. Suganya, Nashwa Ahmad Kamal:
Effect of COVID-19 Quarantine Period on a Married Woman With Special Reference to a TIER-II Selected City in India. Int. J. Sociotechnology Knowl. Dev. 13(1): 133-148 (2021) - [j2]Rampriya Rajendran Shanthi, Sabarinathan, R. Suganya:
RSNet: Rail semantic segmentation network for extracting aerial railroad images. J. Intell. Fuzzy Syst. 41(2): 4051-4068 (2021) - 2020
- [c6]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. V. Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. ECCV Workshops (3) 2020: 499-518 - [c5]Matej Vitek, Abhijit Das, Yann Pourcenoux, Alexandre Missler, C. Paumier, Sumanta Das, Ishita De Ghosh, Diego Rafael Lucio, Luiz Antonio Zanlorensi, David Menotti, Fadi Boutros, Naser Damer, Jonas Henry Grebe, Arjan Kuijper, Junxing Hu, Yong He, Caiyong Wang, H. Liu, Yunlong Wang, Zhenan Sun, Dailé Osorio Roig, Christian Rathgeb, Christoph Busch, Juan E. Tapia, Andres Valenzuela, Georgios Zampoukis, Lazaros T. Tsochatzidis, Ioannis Pratikakis, Sabari Nathan, R. Suganya, Vineet Mehta, Abhinav Dhall, Kiran B. Raja, Gourav Gupta, Jalil Nourmohammadi-Khiarak, Mohsen Akbari-Shahper, Farhang Jaryani, Meysam Asgari-Chenaghlu, Ritesh Vyas, Sristi Dakshit, Peter Peer, Umapada Pal, Vitomir Struc:
SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment. IJCB 2020: 1-10 - [c4]Sabari Nathan, Suganya Ramamoorthy:
Efficient Supervision Net: Polyp Segmentation Using EfficientNet and Attention Unit. MediaEval 2020 - [i1]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. CoRR abs/2009.12798 (2020)
2010 – 2019
- 2019
- [j1]R. Suganya, S. Rajaram:
An efficient categorization of liver cirrhosis using convolution neural networks for health informatics. Clust. Comput. 22(Suppl 1): 47-56 (2019) - [c3]Suganya Ramamoorthy, Vinodhini R., Rajaram Siva Subramanian:
Monitoring the growth of Polycystic Ovary Syndrome using Mono-modal Image Registration Technique: Application of Medical Big Data in Healthcare. COMAD/CODS 2019: 180-187 - 2014
- [c2]Suganya Ramamoorthy, Rajaram Siva Subramanian, Deebika Gandhi:
An Efficient Method for Speckle Reduction in Ultrasound Liver Images for e-Health Applications. ICDCIT 2014: 311-321 - [c1]Suganya Ramamoorthy, R. Kirubakaran, S. Rajaram:
Classification and Retrieval of Focal and Diffuse Liver from Ultrasound Images Using Machine Learning Techniques. SIRS 2014: 253-261
Coauthor Index
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