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S. Kirubakaran
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2020 – today
- 2024
- [j7]M. M. Yamuna Devi, J. Jeyabharathi, S. Kirubakaran, Sreekumar Narayanan, T. Srikanth
, Prasun Chakrabarti:
Efficient segmentation and classification of the lung carcinoma via deep learning. Multim. Tools Appl. 83(14): 41981-41995 (2024) - [j6]S. Kirubakaran
Hybrid selection combining scheme for correlated cooperative communication over κ-μ fading channels. Phys. Commun. 65: 102385 (2024) - 2023
- [j5]H. Shaheen, K. Ravikumar, N. Lakshmipathi Anantha
An efficient classification of cirrhosis liver disease using hybrid convolutional neural network-capsule network. Biomed. Signal Process. Control. 80(Part): 104152 (2023) - [j4]C. Saravanabhavan, S. Kirubakaran, R. Premkumar, V. Jemmy Joyce:
Fuzzy based optimized itemset mining in high dimensional transactional database using adaptable FCM. J. Intell. Fuzzy Syst. 44(4): 6957-6971 (2023) - [j3]M. Tholkapiyan, B. Aruna Devi, Dhowmya Bhatt, E. Saravana Kumar, S. Kirubakaran, Ravi Kumar
Performance Analysis of Rice Plant Diseases Identification and Classification Methodology. Wirel. Pers. Commun. 130(2): 1317-1341 (2023) - 2022
- [j2]Changxiu Liu, S. Kirubakaran, J. Alfred Daniel
Deep Learning Approach for Emotion Recognition Analysis in Text Streams. Int. J. Technol. Hum. Interact. 18(2): 1-21 (2022) - [c1]S. Kirubakaran, Mandha Damodaran Selvaraj:
Performance Analysis of Interference Limited Hybrid FSO/RF Systems. SPCOM 2022: 1-5 - 2021
- [j1]Xiaowei Tang, Fang Li, V. Sakthivel, S. Kirubakaran:
Deep Learning Approach to Automated Data Collection and Processing of Video Surveillance in Sport Activity Prediction. J. Multiple Valued Log. Soft Comput. 36(1-3): 61-82 (2021)
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