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R. Sivakami
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2020 – today
- 2024
- [j8]S. R. Sannasi Chakravarthy
, Bharanidharan Nagarajan, V. Vinoth Kumar, T. R. Mahesh, R. Sivakami, Jonnakuti Rajkumar Annad:
Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization. Int. J. Comput. Intell. Syst. 17(1): 18 (2024) - [j7]Senthil Murugan Nagarajan
Efficiency Improvisation of Large-Scale Knowledge Systems in Feature Determination using Proposed HVGAN Architecture. J. Inf. Knowl. Manag. 23(2): 2450006:1-2450006:19 (2024) - [j6]Thirumalesu Kudithi, J. Balajee, R. Sivakami, T. R. Mahesh, E. Mohan, Suresh Guluwadi:
Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation. BMC Medical Informatics Decis. Mak. 24(1): 196 (2024) - [j5]K. M. Karthick Raghunath, Manjula Sanjay Koti
Utilization of IoT-assisted computational strategies in wireless sensor networks for smart infrastructure management. Int. J. Syst. Assur. Eng. Manag. 15(1): 28-34 (2024) - 2023
- [j4]DilipKumar Jang Bahadur Saini, R. Sivakami, R. Venkatesh, C. S. Raghava, Sandeep Dwarkanath Pande, Twana Mohammed Kak Anwer, Lassaad K. Smirani, Shaik Hasane Ahammad, U. Pamula, Md. Amzad Hossain, Ahmed Nabih Zaki Rashed:
Convolution neural network model for predicting various lesion-based diseases in diabetic macula edema in optical coherence tomography images. Biomed. Signal Process. Control. 86(Part B): 105180 (2023) - [j3]Venkatesan Muthukumar, R. Sivakami, Vinoth Kumar Venkatesan, J. Balajee, T. R. Mahesh, E. Mohan, B. Swapna:
Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies. Int. J. Comput. Commun. Control 18(6) (2023) - [j2]Sujatha Rajkumar
An IoT-Based Deep Learning Approach for Online Fault Detection Against Cyber-Attacks. SN Comput. Sci. 4(4): 393 (2023)
2010 – 2019
- 2016
- [j1]R. Sivakami, G. M. Kadhar Nawaz:
A Radical Block to Byzantine Attacks in Mobile Ad Hoc Networks. Wirel. Pers. Commun. 87(2): 485-497 (2016)
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