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Publications

  • Chekka Sravani, Prithiviraj Ananth, C. Sasikala, N. Sathish Kumar, Ch D. V. P. Kumari & V. Thrimurthulu. “LiDAR Image-Based Climate Change Detection with Their Economic Ecosystem Modelling: Artificial Intelligence Application”. Remote Sens Earth Syst Sci (2024). https://doi.org/10.1007/s41976-024-00181-5
  • Sivakumar, P., Balasubramani, M., Sowndharya, R. et al. "Twitter spam drift detection by semi-supervised learning approach using YATSI algorithm." Int J Syst Assur Eng Manag (2024). https://doi.org/10.1007/s13198-024-02445-1
  • N. Shirisha, M. Srivani, K. Kowsalyadevi, G. B. P. Ram, P. K. Vadrevu and V. B. Murthy, "Real-Time Multilingual Farming Assistance using NLP Integrated Web API," 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2024, pp. 490-496, doi: 10.1109/ICACRS62842.2024.10841558
  • Arvind Kumar Shukla, Kowsalyadevi Krishnaraj, R J Venkatesh, "IoT-based System for Multi-Head Dual Attention Generative Adversarial Network-based Soil Nutrition and Plant Disease Detection in Smart Agriculture," 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2024, pp. 55-60, doi: 10.1109/I-SMAC61858.2024.10714878
  • S. Sakthivel, Charu Virmani, S. Silvia Priscila, Ravindra Pathak, S. Prasath Alias Surendhar, and Bobur Sobirov, Smart technical control infrastructures in electrical automation through digital application systems, International Journal of Critical Infrastructures 2025 21:1, 1-23, https://doi.org/10.1504/IJCIS.2025.143947
  • S. Sakthivel and N. Vinotha. 2023. An intellectual optimization of k-anonymity model for efficient privacy preservation in cloud platform. J. Intell. Fuzzy Syst. 45, 1 (2023), 1497–1512. https://doi.org/10.3233/JIFS-223509.
  • Babu, G., Sathiyanarayanan, E., Parasuraman, S., Balamurugan, D., Jaganathan, A., Revolutionizing Human-Robot Interaction (HRI): Multimodal Intelligent Robotic System for Responsive Collaboration, International Journal of Intelligent Systems and Applications in Engineering, 2024 | Journal article, EID: 2-s2.0-85187482828, Part of ISSN: 21476799
  • Venkatesan C, Thamaraimanalan T, Balamurugan D, Gowrishankar J, Manjunath R and Sivaramakrishnan A, “Hybrid Machine Learning Technique to Detect Active Botnet Attacks for Network Security and Privacy”, Journal of Machine and Computing, vol.3, no.4, pp. 523-533, October 2023. doi: 10.53759/7669/jmc202303044.
  • Venkatarathinam, R., Sivakami, R., Christodoss, P. R., et al., "Ensemble of Homogenous and Heterogeneous Classifiers using K-Fold Cross Validation with Reduced Entropy." International Journal on Recent and Innovation Trends in Computing and Communication, 11(8s), 315–324, 2023. https://doi.org/10.17762/ijritcc.v11i8s.7211
  • DilipKumar Jang Bahadur Saini et al., "Convolution neural network model for predicting various lesion-based diseases in diabetic macula edema in optical coherence tomography images," Biomedical Signal Processing and Control, Volume 86, Part B, 2023. https://doi.org/10.1016/j.bspc.2023.105180.
  • Chakravarthy, S., Nagarajan, B., Kumar, V.V., et al., "Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization." Int J Comput Intell Syst 17, 18 (2024). https://doi.org/10.1007/s44196-024-00409-8.
  • Nagarajan, S.M., Asha Jerlin, M., et al., "Efficiency Improvisation of Large-Scale Knowledge Systems in Feature Determination using Proposed HVGAN Architecture." Journal of Information & Knowledge Management, 23, 02, 2024. https://doi.org/10.1142/S0219649224500060.
  • V. Muthukumar, R. Sivakami, et al., "Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies." Int J Computers Communications & Control, Volume 18, Issue 5, 2023. https://doi.org/10.15837/ijccc.2023.6.5890.
  • Thouheed Ahmed, S., Sivakami, R., et al., "PrEGAN: Privacy-Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification." IEEE Transactions on Consumer Electronics, vol. 70, no. 3, Aug. 2024. https://doi.org/10.1109/TCE.2024.3386222.
  • Selvi, V. T., Dhurgadevi, M., Prithiviraj, P., Jackulin, T., & Baskaran, K. (2023). Extending the FSM Model for Critical Decision-Making and Safety Control in Autonomous Vehicles. International Journal of Intelligent Systems and Applications in Engineering, 12(2s), 397-410. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3640
  • Muniappan, A., Dalton, G. A., Prithiviraj, A., Jackulin, T., & Karthikayen, A. (2024). Improvement of Packet Delivery Ratio in Wireless Mesh Network Using Hybrid Routing Protocol in VoIP Application. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 207-222. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4506
  • Swaminathan, V. P., Balasubramani, R., Parvathavarthini, S., Gopal, Vidhya., & Selvan, T. (2023). GAN Based Image Segmentation and Classification Using Vgg16 for Prediction of Lung Cancer. Journal of Advanced Research in Applied Sciences and Engineering Technology, 34(3), 45-61. https://doi.org/10.37934/araset.34.3.4561
  • Kanmani Pappa, C., Nasreen Banu, D., Vaishnavi, K., Nagarajan, S., Karunakaran, M., & Hemalatha, P. K. (2023). A novel approach for blockchain technology-based cybersecurity in cloud storage using hash function. Journal of Advanced Research in Applied Sciences and Engineering Technology, 32(3), 178-189. https://doi.org/10.37934/araset.32.3.178189
  • Dr. V. Jyothi, Dr. Tammineni Sreelatha, Dr. T. M. Thiyagu, R. Sowndharya and N. Arvinth, “A Data Management System for Smart Cities Leveraging Artificial Intelligence Modeling Techniques to Enhance Privacy and Security”, DOI: 10.58346/JISIS.2024.I1.003, Pages: 37-51
  • Dr. B. Sindhusaranya, R. Yamini, Dr. M. A. P. Manimekalai, Dr. K. Geetha, “Federated Learning and Blockchain-Enabled Privacy Preserving Healthcare 5.0 System: A Comprehensive Approach to Fraud Prevention and Security in IoMT, Journal of Internet Services and Information Security (JISIS), volume: 13, number: 4 (November), pp. 199-209. DOI: 10.58346/JISIS.2023.I4.014
  • S. Sakthivel, V. Vivekanandhan, and M. Manikandan, “Automated Irrigation System Using Improved Fuzzy Neural Network in Wireless Sensor Networks,” Intell. Automat. Soft Comput., vol. 35, no. 1, pp. 853–866, 2023. https://doi.org/10.32604/iasc.2023.026289
  • Sakthivel, S. and Vinotha, N. “An Intellectual Optimization of K-anonymity Model for Efficient Privacy Preservation in Cloud Platform”. “IOS Press”, 1 Jan. 2023 : 1497 – 1512. https://doi.org/10.3233/JIFS-223509
  • Manikandan, M., Sakthivel, S., Vivekanandhan, V. (2023). Efficient clustering using memetic adaptive hill climbing algorithm in WSN. Intelligent Automation & Soft Computing, 35(3), 3169–3185. https://doi.org/10.32604/iasc.2023.029232
  • Palanisamy, P.; Padmanabhan, A.; Ramasamy, A.; Subramaniam, Sakthivel. Remote Patient Activity Monitoring System by Integrating IoT Sensors and Artificial Intelligence Techniques. Sensors 2023, 23, 5869. https://doi.org/10.3390/s23135869
  • T.M, Amirthalakshmi & R., Sivakami et al. (2023). Quality of Service Management for Fast Data Transmission in Industrial Mobile Communications Using PSO-Based Computer Vision Technique. Wireless Communications and Mobile Computing, 2023. 10.1155/2023/7883120
  • Rajkumar, S., Sheeba, S.L., Sivakami, R. et al. An IoT-Based Deep Learning Approach for Online Fault Detection Against Cyber-Attacks. SN COMPUT. SCI. 4, 393 (2023). https://doi.org/10.1007/s42979-023-01808-y
  • Mahesh, T. R., Kumar, V. et al. (2023). Early predictive model for detection of plant leaf diseases using MobileNetV2 architecture. International Journal of Intelligent Systems and Applications in Engineering, 11(2), 46–54.
  • P. Satyanarayana, T. Mahalakshmi et al. (2023). A new algorithm for detection of nodes failures and enhancement of network coverage and energy usage in wireless sensor networks. Materials Today: Proceedings, 80(3), 1717-1722. https://doi.org/10.1016/j.matpr.2021.05.355
  • R., Sivakami & G., Uday. (2023). Dirichlet Feature Embedding with Adaptive Long Short-Term Memory Model for Intrusion Detection System. Journal of System and Management Sciences. 10.33168/JSMS.2022.0424
  • DilipKumar Jang Bahadur Saini et al. (2023). Convolution neural network model for predicting various lesion-based diseases in diabetic macula edema in optical coherence tomography images. Biomedical Signal Processing and Control, 86(B), 105180. https://doi.org/10.1016/j.bspc.2023.105180
  • Karthick Raghunath, K.M., Koti, M.S., Sivakami, R. et al. Utilization of IoT-assisted computational strategies in wireless sensor networks for smart infrastructure management. Int J Syst Assur Eng Manag 15, 28–34 (2024). https://doi.org/10.1007/s13198-021-01585-y
  • Alotaibi, Shaha et al. (2023). Hybrid K-Medoids with Energy-Efficient Sunflower Optimization Algorithm for Wireless Sensor Networks. Sustainability, 15, 5759. 10.3390/su15075759
  • Karthikeyini, S. et al. (2023). Heart Disease Prognosis Using D-GRU with Logistic Chaos Honey Badger Optimization in IoMT Framework. Information Technology and Control, 52(2), 367–380. https://doi.org/10.5755/j01.itc.52.2.32899
  • Kirubasri, G., Sankar, S. et al. (2024). LQETA-RP: link quality-based energy and trust aware routing protocol for wireless multimedia sensor networks. Int J Syst Assur Eng Manag 15, 564–576. https://doi.org/10.1007/s13198-023-01873-9
  • J. Amala Ruby Florence, G. Kirubasri. (2022). Accident Detection System Using Deep Learning. 5th International Conference on Computational Intelligence in Data Science (ICCIDS). 10.1007/978-3-031-16364-7_23
  • Mohammad. Anas et al. (2023). Machine Learning Based Personality Classification for Carpooling Application. ICISCoIS, 77-82. 10.1109/ICISCoIS56541.2023.10100353
  • D. Mathew et al. (2023). System for Detecting Intrusions using Raspberry PI. ICCCI, 1-6. 10.1109/ICCCI56745.2023.10128487
  • S. Sakthivel et al. (2023). Wireless Sensor Network based Anomaly Detection using SVM-RFE-MRMR. ICICCS, 1497-1502. 10.1109/ICICCS56967.2023.10142785

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