Balika J. Chelliah
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Balika J. Chelliah has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- B. Aarthi
SRM Institute of Science and Technology, Ramapuram, India
3 shared publications Alangudi Balaji N.
Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation
1 shared publication- B. Aarthi
School of Computer Science and Engineering, Vellore Institute of Technology
1 shared publication - B. Judy Flavia
Computer Science and Engineering, SRMIST Ramapuram, Chennai, India
1 shared publication - Judy Flavia
SRM Institute of Science and Technology, Ramapuram Campus
1 shared publication - M. Amrutha Sridhanya
Department of Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning, SRM Institute of Science and Technology, Chennai, India
1 shared publication
Latest Publications
- 4 November 2026
- Published by Taylor & Francis in Cybernetics and Systems
- p. 1-43
An Intelligent IoT-Enabled Hydroponic Monitoring Framework for Holy Basil Using Hybrid MB 2 SSO-Optimized Ensemble Learning
The rapid advancement of intelligent agriculture has accelerated the adoption of cyber-physical systems that integrate Internet of Things (IoT) devices, artificial intelligence (AI), and data-drive...
- 4 November 2026
- Published by Taylor & Francis in Cybernetics and Systems
- p. 1-43
An Intelligent IoT-Enabled Hydroponic Monitoring Framework for Holy Basil Using Hybrid MB 2 SSO-Optimized Ensemble Learning
The rapid advancement of intelligent agriculture has accelerated the adoption of cyber-physical systems that integrate Internet of Things (IoT) devices, artificial intelligence (AI), and data-drive...
- Open Access
- 15 March 2024
- Published by Springer Nature in Neural Computing and Applications
- Vol. 36 (16) , 9605
Correction: HATDO: hybrid Archimedes Tasmanian devil optimization CNN for classifying offensive comments and non-offensive comments
- 15 March 2024
- Published by Springer Nature in Neural Computing and Applications
- Vol. 36 (16) , 9605
Open AccessCorrection: HATDO: hybrid Archimedes Tasmanian devil optimization CNN for classifying offensive comments and non-offensive comments
- 19 February 2024
- Published by Springer Nature in Telecommunication Systems
- Vol. 85 (4) , 623-647
BO-LCNN: butterfly optimization based lightweight convolutional neural network for remote data integrity auditing and data sanitizing model
- 19 February 2024
- Published by Springer Nature in Telecommunication Systems
- Vol. 85 (4) , 623-647
BO-LCNN: butterfly optimization based lightweight convolutional neural network for remote data integrity auditing and data sanitizing model
- 22 June 2023
- Published by Springer Nature in Neural Computing and Applications
- Vol. 35 (25) , 18395-18415
HATDO: hybrid Archimedes Tasmanian devil optimization CNN for classifying offensive comments and non-offensive comments
- 22 June 2023
- Published by Springer Nature in Neural Computing and Applications
- Vol. 35 (25) , 18395-18415
HATDO: hybrid Archimedes Tasmanian devil optimization CNN for classifying offensive comments and non-offensive comments
- 17 August 2022
- Published by Springer Nature in Pattern Analysis and Applications
- Vol. 26 (1) , 367-379
An intelligent approach using boosted support vector machine based arithmetic optimization algorithm for accurate detection of plant leaf disease
- 17 August 2022
- Published by Springer Nature in Pattern Analysis and Applications
- Vol. 26 (1) , 367-379
An intelligent approach using boosted support vector machine based arithmetic optimization algorithm for accurate detection of plant leaf disease
- 18 May 2022
- Published by Springer Nature
- p. 105-137
A Comprehensive Study on Cybersecurity Challenges and Solutions in an IoT Framework
- 18 May 2022
- Published by Springer Nature
- p. 105-137
A Comprehensive Study on Cybersecurity Challenges and Solutions in an IoT Framework
- 31 March 2022
- Published by Springer Nature
- p. 471-482
A Hybrid Multiclass Classifier Approach for the Detection of Malicious Domain Names Using RNN Model
- 31 March 2022
- Published by Springer Nature
- p. 471-482
A Hybrid Multiclass Classifier Approach for the Detection of Malicious Domain Names Using RNN Model