Balasundaram, Rebecca
Contact
profile_image:
My Latest
-
Vasan, Vinod, Sridharan, Naveen Venkatesh
ORCID: https://orcid.org/0000-0002-4034-8859, Balasundaram, Rebecca and Vaithiyanathan, Sugumaran ORCID: https://orcid.org/0000-0002-5323-6418
(2024)
Ensemble-based deep learning model for welding defect detection and classification.
Engineering Applications of Artificial Intelligence, 136.
p. 108961.
-
Ahmadzadeh, Sahar, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Kumar Jha, Rahul, Karthick, Gayathri ORCID: https://orcid.org/0000-0003-1228-7099, Balasundaram, Rebecca and Ling, Soonleh ORCID: https://orcid.org/0000-0002-7104-3812
(2023)
Exploring the Impact of COVID on Global Telecommunication Networks and ICT Solutions.
December 2023.
-
Dutta, Surjadeep, Arivazhagan, R, Padmini Ema, Uma ORCID: https://orcid.org/0000-0003-0780-0417 and Balasundaram, Rebecca
(2024)
Revolutionizing Electronics E-Commerce: Harnessing The Power Of Artificial Intelligence In E-Marketing Strategies.
Migration Letters, 21 (S6).
pp. 207-220.
- Gracy, M., Jeyavadhanam, Rebecca and Raj, Albert Antony (2023) Enhancing transaction verification through pruned merkle tree in blockchain. Journal of Theoretical and Applied Information Technology, 101 (20). pp. 6421-6433.
- Gracy, M, Balasundaram, Rebecca and Raj, S. Albert Antony (2023) Enhancing Data Integrity in Blockchain through Fuzzy Augmented Lagrangian Optimization and Compact Blocks to Minimize Redundancy. International Journal of Intelligent Systems and Applications in Engineering (IJISAE), 11 (4).
- Jeyavadhanam, B. Rebecca, Gracy, M., Ramalingam, V. V. and Xavier, Christopher (2021) Fundamental Concepts and Applications of Blockchain Technology. In: Sharma, Rohit, Sharma, Dilip Kumar, Bhatt, Dhowmya and Pham, Binh Thai, (eds.) Big Data Analysis for Green Computing : concepts and applications. CRC Press
- Jeyavadhanam, Rebecca B, Ramalingam, V. V., Sugumaran, V. and Rajkumar, D. (2022) Predictive Analysis of Online Television Videos Using Machine Learning Algorithms. In: Singh, Pradeep, (ed.) Fundamentals and Methods of Machine and Deep Learning. Scrivener Publishing, pp. 237-257
-
Naveen Venkatesh, S. ORCID: https://orcid.org/0000-0002-4034-8859, Balasundaram, Rebecca, Moradi Sizkouhi, A.M., Esmailifar, S.M. ORCID: https://orcid.org/0000-0002-1843-1189, Aghaei, M. ORCID: https://orcid.org/0000-0001-5735-3825 and Sugumaran, V. ORCID: https://orcid.org/0000-0002-5323-6418
(2022)
Automatic detection of visual faults on photovoltaic modules using deep ensemble learning network.
Energy Reports, 8.
pp. 14382-14395.
- Vinod, Dasari Naga, Balasundaram, Rebecca, Zungeru, Adamu Murtala and Prabaharan, S.R.S. (2021) Fully automated unified prognosis of Covid-19 chest X-ray/CT scan images using Deep Covix-Net model. Computers in Biology and Medicine, 136. p. 104729.
-
Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251, Jeyavadhanam, Rebecca and Karthick, Gayathri
(2023)
Improved Computational Efficiency of Machine Learning Algorithm based on Evaluation Metrics to control the spread of Coronavirus in the UK.
In: ICDSTA 2023: 17. International Conference on Data Science Techniques and Applications, 16-17th February, 2023, London.
My Most Viewed
