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Publications (Authors’ Names in Bold indicate CAI’s members)
Papers in Refereed Journals
  1. V. Ravi , M. Alazab, S. Selvaganapathy, R. Chaganti, A Multi-View attention-based deep learning framework for malware detection in smart healthcare systems, Computer Communications, 195 (2022) 73-81.
  2. V. Ravi , T.D. Pham, Unsupervised deep learning-based feature fusion approach for detection and analysis of COVID-19 using X-ray and CT images, The Open Bioinformatics Journal, 15 (2022).
  3. V. Ravi , R. Chaganti, M. Alazab, Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system, Computers and Electrical Engineering, 102 (2022) 108156.
  4. V. Ravi , T.D. Pham, M. Alazab, Attention-based multidimensional deep learning approach for cross-architecture IoMT malware detection and classification in healthcare cyber-physical systems, IEEE Transactions on Computational Social Systems, (2022),  DOI: 10.1109/TCSS.2022.3198123.
  5. V. Ravi , V. Acharya, M. Alazab, A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images, Cluster Computing, (2022) 1-23.
  6. V. Ravi , R. Chaganti, M. Alazab, Deep learning feature fusion approach for an intrusion detection system in SDN-based IoT networks, IEEE Internet of Things Magazine, 5 (2022) 24-29.
  7. V. Ravi , Attention cost-sensitive deep learning-based approach for skin cancer detection and classification, Cancers, 14 (2022) 5872.
  8. J.A. Prakash , V. Ravi, V. Sowmya, K.P. Soman, Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images, Neural Computing and Applications, (2022) 1-21.
  9. H.K. Bhuyan , V. Ravi, M.S. Yadav, Multi-objective optimization-based privacy in data mining, Cluster Computing, 25 (2022) 4275-4287.
  10. R. Chaganti , R. Boppana, V. Ravi, K. Munir, M. Almutairi, F. Rustam, L. Ashraf, A comprehensive review of denial of service attacks in blockchain ecosystem and open challenges. IEEE Access, 10 (2022)
  11. R. Chaganti , V. Ravi, T.D. Pham, Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification, Journal of Information Security and Applications, 69 (2022) 103306.
  12. R. Chaganti , V. Ravi, T.D. Pham, Deep learning based cross architecture internet of things malware detection and classification, Computers & Security, (2022) 102779.
  13. H.K. Bhuyan , V. Ravi, An integrated framework with deep learning for segmentation and classification of cancer disease. International Journal on Artificial Intelligence Tools. (2022).
  14. V. Ravi, H. Narasimhan, T.D. Pham, A cost-sensitive deep-learning based meta-classifier for pediatric pneumonia classification using chest X-rays, Expert Systems, accepted (DOA: 28 January 2022). DOI: 10.1111/exsy.12966
  15. P. Yadav, N. Menon, V. Ravi, S. Vishvanathan, T.D. Pham, EfficientNet convolutional neural networks-based Android malware detection, Computers & Security, 115 (2022) 102622.
  16. V. Ravi, V. Acharya, T.D. Pham, Attention deep learning based large-scale learning classifier for Cassava leaf disease classification, Expert Systems, 39 (2022) e12862.
  17. M. Ganeshkumar, V. Ravi, V. Sowmya, & C. Chakraborty, Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN. Multimedia Tools and Applications, 2022, available online at https://doi.org/10.1007/s11042-021-11478-8
  18. V. Ravi, H. Narasimhan, C. Chakraborty, T.D. Pham, Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images, Multimedia Systems, 2021, available online at https://doi.org/10.1007/s00530-021-00826-1
  19. A. Arunachalam, V. Ravi, V. Acharya, and T.D. Pham, Toward Data-Model-Agnostic Autonomous Machine-Generated Data Labeling and Annotation Platform: COVID-19 Autoannotation Use Case, IEEE Transactions on Engineering Management, 2021, available online at https://doi.org/10.1109/TEM.2021.3094544
  20. V. Acharya, V. Ravi, T. D. Pham and C. Chakraborty, Peripheral Blood Smear Analysis Using Automated Computer-Aided Diagnosis System to Identify Acute Myeloid Leukemia, IEEE Transactions on Engineering Management, 2021, available online at https://doi.org/10.1109/TEM.2021.3103549
  21. A. Arunachalam, V. Ravi, M. Krichen, R. Alroobaea and S. Rubaiee, Mathematical model validation of search protocols in mp2p networks, Computers, Materials & Continua, 2021, online available at https://doi.org/10.32604/cmc.2021.016692
  22. D.S. Nayagi, G.G. Sivasankari, V. Ravi, K.R. Venugopal, and S. Sennan, REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications, International Journal of Communication Systems, 2021, online available at https://doi.org/10.1002/dac.4900
  23. H.K. Bhuyan and V. Ravi, Analysis of Subfeature for Classification in Data Mining," IEEE Transactions on Engineering Management, 2021, online available at https://doi.org/10.1109/TEM.2021.3098463
  24. H. K. Bhuyan, C. Chakraborty, S. K. Pani, and V. Ravi, Feature and Subfeature Selection for Classification Using Correlation Coefficient and Fuzzy Model, IEEE Transactions on Engineering Management, 2021, online available at https://doi.org/10.1109/TEM.2021.3065699
  25. S. Chauhan, R. Banerjee, C. Chakraborty, M. Mittal, A. Shiva, and V. Ravi, A self-congruence and impulse buying effect on user’s shopping behaviour over social networking sites: an empirical study, International Journal of Pervasive Computing and Communications, 2021, online available at https://doi.org/10.1108/IJPCC-01-2021-0013
  26. V. Ravi, M. Alazab, S. Srinivasan, A. Arunachalam, and K.P. Soman, Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning, IEEE Transactions on Engineering Management, 2021, online available at https://doi.org/10.1109/TEM.2021.3059664
  27. A. Arunachalam, V. Ravi, M. Krichen, R. Alroobaea, and J.S. Alqurni, Analytical comparison of resource search algorithms in non-dht mobile peer-to-peer networks, Computers, Materials & Continua, 2021, online available at https://doi.org/10.32604/cmc.2021.015371
  28. M. Ramaiah, V. Chandrasekaran, V. Ravi, and N. Kumar, An intrusion detection system using optimized deep neural network architecture, Transactions on Emerging Telecommunications Technologies, 2021, online available at https://doi.org/10.1002/ett.4221
  29. S. Rani, M. Kaur, M. Kumar, V. Ravi, U. Ghosh, and J.R. Mohanty, Detection of shilling attack in recommender system for YouTube video statistics using machine learning techniques, Soft Computing, 2021, online available at https://doi.org/10.1007/s00500-021-05586-8
  30. S. Selvaganapathy, S. Sadasivam, and V. Ravi, A review on android malware: attacks, countermeasures and challenges ahead, Journal of Cyber Security and Mobility, 2021, online available at https://doi.org/10.13052/jcsm2245-1439.1017
  31. V. Sureshkumar, S. Balasubramaniam, V. Ravi, and A. Arunachalam, A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine, Expert Systems, 2021, online available at https://doi.org/10.1111/exsy.12811
  32. P. Yadav, N. Menon, V. Ravi and V. Sowmya, Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images, IEEE Transactions on Engineering Management, 2021, online available at https://doi.org/10.1109/TEM.2021.3103334
  33. M. Sathyamoorthy, S. Kuppusamy, R.K. Dhanaraj, and V. Ravi, Improved K-Means Based Q Learning Algorithm for Optimal Clustering and Node Balancing in WSN, Wireless Personal Communications, 2021, online available at https://doi.org/10.1007/s11277-021-09028-4
  34. A. Prithiviraj, A. Maheswari, D. Balamurugan, V. Ravi, M. Krichen et al., Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets, CMC-Computers, Materials & Continua, 2021, online available at https://doi.org/10.32604/cmc.2022.015299
  35. M. Ganeshkumar, V. Ravi, V. Sowmya, E.A. Gopalakrishnan, and K.P. Soman, "Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram, IEEE Transactions on Engineering Management, 2021, online available at https://doi.org/10.1109/TEM.2021.3104751

Papers in Refereed Conference Proceedings
  1. W. Suliman, V. Ravi, B. Luo, X.F. Sun, T.D. Pham, Convolutional neural networks and support vector machines for five-year survival analysis of metastatic rectal cancer, International Joint Conference on Neural Networks (IJCNN 2022, Padua, Italy) pp. 1-8, 18-23 July 2022, DOI: 10.1109/IJCNN55064.2022.9892935.
  2. H. Theivaprakasham, V. Sowmya, V. Ravi, E.A. Gopalakrishnan, & K.P. Soman, Hybrid features-based ensembled residual convolutional neural network for bird acoustic identification, In Advances in Communication, Devices and Networking, pp. 437-445, 2023.
  3. S. Ganesan, V. Ravi, M. Krichen, V. Sowmya, R. Alroobaea, and K.P. Soman. (2021, January). Robust Malware Detection using Residual Attention Network, IEEE International Conference on Consumer Electronics (ICCE), 10-12 January, Las Vegas, NV, USA, pp. 1-6, 2021. online available at https://doi.org/10.1109/ICCE50685.2021.9427623.
  4. K. Simran, P. Balakrishna, V. Ravi, and K.P. Soman, Deep learning based frameworks for handling imbalance in dga, email, and url data analysis, International Conference on Computational Intelligence, Cyber Security, and Computational Models, 19–21, December, Coimbatore, India, pp. 93-104, 2019. online available at https://doi.org/10.1007/978-981-15-9700-8_8

Book Chapters
  1. V. Ravi, H. Narasimhan, and T.D. Pham, EfficientNet-Based Convolutional Neural Networks for Tuberculosis Classification, In: Advances in Artificial Intelligence, Computation, and Data Science for Medicine and Life Science, Springer, 2021. DOI: 10.1007/978-3-030-69951-2
  2. D.B. Vishwas, M. Gowtham, A.V. Ajay, K. Raghavendra, V. Ravi, and S. Goundar, Blockchain-Based Secure Method for Tiger Detection Using Machine Learning, In: Convergence of Internet of Things and Blockchain Technologies, Springer, 2021, online available at https://doi.org/10.1007/978-3-030-76216-2_14
  3. G.B. Janardhana Swamy, D.R. Janardhana, C.P. Vijay, and V. Ravi, Blockchain-Enabled IoT Integrated Autonomous Sewage Management System, In: Convergence of Internet of Things and Blockchain Technologies, Springer, 2021, online available at https://doi.org/10.1007/978-3-030-76216-2_3
  4. S.P. Anandaraj, S. Poornima, R. Vignesh, and V. Ravi, Industrial Automation of IoT in 5G Era, In: Secure Communication for 5G and IoT Networks, Springer, 2021, online available at https://doi.org/10.1007/978-3-030-79766-9_6