| Analysis of the Performance Impact of Fine-Tuned Machine Learning Model for Phishing URL Detection AB Saleem Raja Abdul Samad ,Sundarvadivazhagan Balasubaramanian ,Amna Salim ... Electronics 12, no. 7: 1642. https://doi.org/10.3390/electronics12071642 12 …, 2023 | 70* | 2023 |
| Remote monitoring system using slow-fast deep convolution neural network model for identifying anti-social activities in surveillance applications EM Onyema, S Balasubaramanian, C Iwendi, BVVS Prasad, CD Edeh Measurement: Sensors 27, 100718, 2023 | 31 | 2023 |
| A security policy protocol for detection and prevention of internet control message protocol attacks in software defined networks EM Onyema, MA Kumar, S Balasubaramanian, S Bharany, AU Rehman, ... Sustainability 14 (19), 11950, 2022 | 29 | 2022 |
| Integrated blockchain-deep learning approach for analyzing the electronic health records recommender system EA Mantey, C Zhou, SR Srividhya, SK Jain, B Sundaravadivazhagan Frontiers in Public Health 10, 905265, 2022 | 22 | 2022 |
| Deep Learning Techniques for COVID-19 Detection Based on Chest X-ray and CT-scan Images: A Short Review and Future Perspective BS Maad M. Mijwil , Karan Aggarwal , Ruchi Doshi , Kamal Kant Hiran Asian Journal of Applied Sciences (ISSN: 2321 – 0893) 10 (Issue 3,), 2022 | 21* | 2022 |
| SDN-assisted technique for traffic control and information execution in vehicular adhoc networks B Sundaravadivazhagan Computers and Electrical Engineering, 2022 | 21 | 2022 |
| Revisiting computer networking protocols by wireless sniffing on brain signal/image portals BR Sathishkumar, B Sundaravadivazhagan, B Martin, G Sasi, ... Neural Computing and Applications, 1-13, 2018 | 18 | 2018 |
| COSCO2: AI‐augmented evolutionary algorithm based workload prediction framework for sustainable cloud data centers R Karthikeyan, V Balamurugan, R Cyriac, B Sundaravadivazhagan Transactions on Emerging Telecommunications Technologies, e4652, 2022 | 14 | 2022 |
| Malicious Webpage Classification Based on Web Content Features using Machine Learning and Deep Learning AS Raja, B Sundarvadivazhagan, R Vijayarangan, S Veeramani International Conference on Green Energy, Computing and Sustainable …, 2022 | 11 | 2022 |
| Enhanced Elman spike neural network based fractional order discrete Tchebyshev encryption fostered big data analytical method for enhancing cloud data security V Balamurugan, R Karthikeyan, B Sundaravadivazhagan, R Cyriac Wireless Networks 29 (2), 523-537, 2023 | 9 | 2023 |
| Weighted ensemble classifier for malicious link detection using natural language processing sundaravadivazhagn International Journal of Pervasive Computing and Communications, 2023 | 9* | 2023 |
| The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry: Envisaging AI-inspired Intelligent Energy Systems and Environments PR Chelliah, V Jayasankar, M Agerstam, B Sundaravadivazhagan, ... John Wiley & Sons, 2023 | 8 | 2023 |
| A Review on Internet of Things (IoT): Security Challenges, Issuesand the Countermeasures approaches MAM B. Sundaravadivazhagan, B. Subashini PSYCHOLOGY AND EDUCATION 58 (No. 2 (2021)), 6544-6560, 2021 | 8 | 2021 |
| A Novel Model for IoT Blockchain Assurance-Based Compliance to COVID Quarantine MS Devi, MJ Carmel Mary Belinda, R Aruna, PS Ramesh, ... System Design for Epidemics Using Machine Learning and Deep Learning, 63-81, 2023 | 7 | 2023 |
| An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection S Balasubaramanian, R Cyriac, S Roshan, KM Paramasivam, BC Jose Array 19, 100294, 2023 | 5 | 2023 |
| A Novel Credit Grounded Job Scheduling Algorithm for the Cloud Computing Environment B Sundaravadivazhagan 2022 International Conference on Inventive Computation Technologies (ICICT …, 2022 | 5 | 2022 |
| Amalgamation and characterization for test Suite enhancement in software testing using data mining techniques MA B.Subashini ,B.Sundaravadivazhagan Materials today proceedings, 2021 | 4* | 2021 |
| Intelligent Robots and Drones for Precision Agriculture S Balasubramanian, G Natarajan, P Raj Springer Nature, 2024 | 3 | 2024 |
| Amalgamation of deep learning in healthcare systems N Gnanasankaran, B Subashini, B Sundaravadivazhagan Deep Learning for Healthcare Decision Making, 1-23, 2023 | 3 | 2023 |
| A pedagogical approach on digital signal processing for ECG signals P Abhijnan, SS Sai Suraj, B Sundaravadivazhagan, G Sasi, V Elamaran Advances in Automation, Signal Processing, Instrumentation, and Control …, 2021 | 3 | 2021 |
