Items where Author is "Revathy, G."

Article

Revathy, G. and Rajendran, Velayutham (2023) RETRACTED: CB-GRU-an encrypted net traffic flow classification in SDN using optimizing hyper parameters of neural network. Journal of Intelligent & Fuzzy Systems, 44 (5). pp. 7099-7111. ISSN 10641246

Revathy, G. and Rajendran, V. and Rashmika, B. and Sathish Kumar, P. and Parkavi, P. and Shynisha, J. (2022) Random Forest Regressor based superconductivity materials investigation for critical temperature prediction. Materials Today: Proceedings, 66. pp. 648-652. ISSN 22147853

Revathy, G. and Kumar, P. Sathish and Rajendran, Velayutham (2021) Development of IDS using mining and machine learning techniques to estimate DoS malware. International Journal of Computational Science and Engineering, 24 (3). p. 259. ISSN 1742-7185

Revathy, G. and Zuhair Affan, Syed and Suriya, M. and Sathish Kumar, P. and Rajendran, V. (2021) Optimization study on competence of power plant using gas/steam fluid material parameters by machine learning techniques. Materials Today: Proceedings, 37. pp. 1713-1720. ISSN 22147853

Revathy, G. and Rajendran, V. and Sathish Kumar, P. (2021) Prediction study on critical temperature (C) of different atomic numbers superconductors (both gaseous/solid elements) using machine learning techniques. Materials Today: Proceedings, 44. pp. 3627-3632. ISSN 22147853

Book Section

Revathy, G. and Suthanthiradevi, P. and Sathishkumar, P. and Sivakumar, S. and Leo, L. Megalan and Rajasekar, A. (2025) A Novel Framework for DNS Exfiltration Malware—Optimizing Neural Network Hyperparameters Using Swarm Intelligent Algorithm. In: Lecture Notes in Electrical Engineering ((LNEE,volume 1307)). Springer Nature Link, pp. 45-56.

Conference or Workshop Item

Suthanthiradevi, P. and Revathy, G. and Rejini, K. and Lakshmi.V, Muthu (2024) Leveraging Deep Learning Models for Machine-Generated Text Detection Using Transformer-Based Models. In: 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India.

Revathy, G. and Jagadeesan, Pavithra and Vajubunnisa Begum, R. and P, Vijay Anand and Jasmin, H. and Gayathri, S. (2024) Video Frame Prediction Using Convolutional LSTM Encoder and Decoder. In: 2024 First International Conference on Data, Computation and Communication (ICDCC), Sehore, India.

Revathy, G. and Maheswari, P. Uma and Madhavi, S. and P, Vijay Anand and Begum, R. Vajubunnisa and Jasmin, H. (2024) CancerAI: A Deep Learning Framework for Ovarian Cancer Prediction. In: 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Revathy, G. and D, Lingeshwaran and SuthanthiraDevi, P. and M V, Harish Kumar (2023) CNN-LSTM: Development of Offline Signature Authentication. In: 2023 International Conference on Emerging Research in Computational Science (ICERCS), Coimbatore, India.

Vashisht, Swati and Gupta, Sushil Kumar and Fegade, Atul and Dhondiyal, Shiv Ashish and Kumar, Rohit and Revathy, G. (2022) Detection of Malicious Social Bots with the Aid of Learning Automata on Twitter. In: 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India.

Revathy, G. and Rajendran, V. and Sathish Kumar, P. and Vinuharini, S. and Roopa, G. N. (2022) Smurf attack using hybrid machine learning technique. In: INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021), 19–20 June 2021, Malappuram, India.