S. Kirubakaran

According to our database, S. Kirubakaran authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Anomaly detection using deep learning approach for IoT smart city applications.

S. Shibu, S. Kirubakaran, Krishna Priya Remamany, Suhail Ahamed, L. Chitra, Pravin Kshirsagar, Vineet Tirth

Multim. Tools Appl., May, 2025

2024

Efficient segmentation and classification of the lung carcinoma via deep learning.

M. M. Yamuna Devi, J. Jeyabharathi, S. Kirubakaran, Sreekumar Narayanan, T. Srikanth, Prasun Chakrabarti

Multim. Tools Appl., April, 2024

Hybrid selection combining scheme for correlated cooperative communication over κ-μ fading channels.

S. Kirubakaran, Mandha Damodaran Selvaraj

Phys. Commun., 2024

2023

Performance Analysis of Rice Plant Diseases Identification and Classification Methodology.

M. Tholkapiyan, B. Aruna Devi, Dhowmya Bhatt, E. Saravana Kumar, S. Kirubakaran, Ravi Kumar

Wirel. Pers. Commun., May, 2023

Fuzzy based optimized itemset mining in high dimensional transactional database using adaptable FCM.

C. Saravanabhavan, S. Kirubakaran, R. Premkumar, V. Jemmy Joyce

J. Intell. Fuzzy Syst., 2023

An efficient classification of cirrhosis liver disease using hybrid convolutional neural network-capsule network.

H. Shaheen, K. Ravikumar, N. Lakshmipathi Anantha, A. Uma Shankar Kumar, N. Jayapandian, S. Kirubakaran

Biomed. Signal Process. Control., 2023

An Assessment on the Detection and Diagnosis of Brain Cancers with Support Vector Machines.

Mahesh Kotha, Ratnababu Jyothi, S. Kirubakaran, P. Sravanthi, Sayyad Rasheeduddin, V. Sravani Kumari

Proceedings of the Bio-Inspired Computing, 2023

2022

Deep Learning Approach for Emotion Recognition Analysis in Text Streams.

Changxiu Liu, S. Kirubakaran, J. Alfred Daniel

Int. J. Technol. Hum. Interact., 2022

Performance Analysis of Interference Limited Hybrid FSO/RF Systems.

S. Kirubakaran, Mandha Damodaran Selvaraj

Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

2021

Deep Learning Approach to Automated Data Collection and Processing of Video Surveillance in Sport Activity Prediction.

Xiaowei Tang, Fang Li, V. Sakthivel, S. Kirubakaran

J. Multiple Valued Log. Soft Comput., 2021