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Latest Conferences (Scopus indexed)

  1. M. Vijayalakshmi, M. Bharathwaj and D.A.D. Dharshini, Traffic Sign and Obstacle Detection for Autonomous Vehicle Navigation using Edge Computing, 10th International Conference on Wireless Communications Signal Processing and Networking Wispnet 2025, Chennai (2025) .
  2. R. Rohith, M. Vijayalakshmi, A. Neavil Porus and M. Bharathwaj, Hybrid Deep Learning and Machine Learning Techniques for Automated Kidney Abnormality Detection and Classification in CT Imaging, 2025 International Conference on Computing Technologies Icoct 2025, Bengaluru (2025) .
  3. S. Aravind, K. Indra Gandhi, R. Prasanna and V. Rishith Kumar, Policy-Based Verification and Enforcement for Generation of SSL/TLS Certificates, Smart Innovation Systems and Technologies, London (2025) (422) : pp1-13 .
  4. G.S. Mahalakshmi, R. Vinitha Kumari, P. Jaysankar and S. Sendhilkumar, Citation Prediction Analysis Using Deep Learning Techniques, 2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, Kamand (2024) .
  5. G.S. Mahalakshmi, S. Sendhilkumar, D. Rajeshkumar and P. Jaysankar, Semantics Preserving Dimensionality Reduction of Citation Network Using Topic Models, 2024 IEEE Conference on Engineering Informatics Icei 2024, Melbourne (2024) .
  6. G.S. Mahalakshmi, S. Sendhilkumar, R. Vinitha Kumari and P. Jaysankar, Citation Prediction Using LDA Topic Models, 2024 IEEE Conference on Engineering Informatics Icei 2024, Melbourne (2024) .
  7. J.D. Devi, B. Srinivasan, S. Ravindran, R. Parthasarathi, P. Ramakrishna and L. Balasubramanian, Machine Learning based Waveform Predictions using Discrete Wavelet Transform for Automated Verification of Analog and Mixed Signal Integrated Circuits, Proceedings of the IEEE International Conference on VLSI Design, Kolkata, West Bengal (2024) : pp61-66 .
  8. M. Srivani, A. Murugappan and T. Mala, MathBERTRes: Mathematical BERT Model for Sequence Classification of Mathematical Research Articles, Lecture Notes in Networks and Systems, Cuttack (2024) (1) : pp183-196 .
  9. P. Dhanasekaran, A.V. Geetha and T. Mala, FusedNet: A Fusion of Time Series and Imaging Based Human Activity Recognition Using ResNet, Lecture Notes in Networks and Systems, Cuttack (2024) (1) : pp411-422 .
  10. S. Sendhilkumar, G.S. Mahalakshmi, A. Swaminathan and K.S. Anirudh, Automated Indigenous Plant Recognition and Medicinal Value Extraction System, IFIP Advances in Information and Communication Technology, Chennai (2024) (717 IFIPAICT) : pp368-380 .
  11. S. Sendhilkumar, G.S. Mahalakshmi, S. Madumitha and A. Swaminathan, Deep Herb: Ayurveda Dry Herb Recognition and Question Answering using Deep Leaming, Cins 2024 2nd International Conference on Computational Intelligence and Network Systems, Dubai (2024) .
  12. A.R. Rajamurugan and V. Muthuswamy, COVID-19 Daily Positive Cases Forecast in Tamil Nadu Using Automated Deep Learning Application, Smart Innovation, Systems and Technologies, New Delhi (2023) (351) : pp125-137 .
  13. E. Uma, A. Yashwanth, B. Pravinbabu, P. Surendhar and T. Mala, ComPuDTIK: Computational Prediction of Drug-Target Interactions in Kinases, 12th IEEE International Conference on Advanced Computing, ICoAC 2023, Hybrid, Chennai (2023) .
  14. E.M. Ranganayaki, S. Abirami, R.S. Lysa Packiam and M. Deivamani, RANGANAYAKI@LT-EDI: Hope Speech Detection using Capsule Networks, LTEDI 2023 - 3rd Workshop on Language Technology for Equality, Diversity and Inclusion, associated with the 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings, Varna (2023) : pp144-148 .
  15. G.S. Mahalakshmi, S. Hemadharsana, K. Srividhyasaradha, S. Sendhilkumar and C. Sushant, Exploring Correlation of Deep Topic Models Using Structured Topic Coherence, Lecture Notes in Networks and Systems, Jelenia Góra (2023) (572) : pp315-321 .
  16. J. Duraimurugan and K. Indra Gandhi, Optimal Restricted Boltzmann Machine based Traffic Analysis on 5G Networks, Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2023, Trichy (2023) : pp1426-1431 .
  17. K. Girthana, S. Swamynathan, A.R. Nirupama, S. Sri Akshya and S. Adhithyan, Web-based Pretrained Transformer Model for Scientific Paper Summarization (WPT-SPS), 2023 International Conference on Artificial Intelligence and Smart Communication, AISC 2023, Greater Noida (2023) : pp298-302 .
  18. K. Indra Gandhi, S. Balaji, S. Srikanth and V.S. Varshini, Ensemble Machine Learning-Based Network Intrusion Detection System, Smart Innovation Systems and Technologies, Cardiff (2023) (370) : pp135-144 .
  19. K. Vidya, P. Ramesh, H. Viknesh and S. Devanand, Compressed Deepfake Detection using Spatio-Temporal Approach with Model Pruning, Procedia Computer Science, Hybrid,Coimbatore (2023) (230) : pp436-444 .
  20. M. Srivani, A. Murugappan and T. Mala, MathKnowTopic: Creation of a Unified Knowledge Graph-Based Topic Modeling from Mathematical Text Books, Lecture Notes in Networks and Systems, Jaipur (2023) (680 LNNS) : pp619-633 .
  21. M. Vijayalakshmi, D. Suvitha and C. Gowtham Krishna, Moving Vehicle Speed and Distance Estimation in Autonomous Vehicles, 12th IEEE International Conference on Advanced Computing, ICoAC 2023, Hybrid, Chennai (2023) .
  22. M. Vijayalakshmi, D. Suvitha and P. Sivaguru, End-To-End Autonomous Vehicle Navigation Using Imitation Learning, 12th IEEE International Conference on Advanced Computing, ICoAC 2023, Hybrid, Chennai (2023) .
  23. P. Amrish Raaj, S. Abirami, R.S. Lysa Packiam and M. Deivamani, HARMONY@DravidianLangTech: Transformer-based Ensemble Learning for Abusive Comment Detection, DravidianLangTech 2023 - 3rd Workshop on Speech and Language Technologies for Dravidian Languages, associated with 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings, Varna (2023) : pp160-165 .
  24. P. Raja Lakshmi, A.V. Geetha, D. Priyanka and T. Mala, PRISM: Predicting Student Performance using Integrated Similarity Modeling with Graph Convolutional Networks, 12th IEEE International Conference on Advanced Computing, ICoAC 2023, Hybrid, Chennai (2023) .
  25. P. Varalakshmi, V. Rajeshkumar, V.S. Swetha, R.C.S. Mukesh and S.J.S. Rajasekar, Left Ventricular Ejection Fraction Estimation for Pediatric Patients using Convolutional Neural Network Model, 2023 International Conference on System, Computation, Automation and Networking, ICSCAN 2023, Puducherry (2023) .
  26. R. Mathumitha, P. Rathika and K. Manimala, SVM-based regression for forecasting building power energy consumption using smart meter data, 2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, Delhi (2023) .
  27. R. Sundar, P. Varalakshmi and D. Sachin Kumar, Comparative Analysis of Machine Learning Algorithms to predict the Tropical Cyclones, 2023 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2023, Chennai (2023) .
  28. S. Krishnan, R.V. Vasan, P. Varma and T. Mala, Probabilistic Forecasting of the Winning IPL Team Using Supervised Machine Learning, Communications in Computer and Information Science, Varanasi (2023) (1798 CCIS) : pp138-152 .
  29. V. Dhanasekar, V. Gunasekaran, A. Challa, B. Srinivasan, J.D. Devi, S. Ravindran, R. Parthasarathi, P.V. Ramakrishna, G. Geetha Kumar, V. Padmanabhan, G. Lakshmanan and L. Balasubramanian, Analysis of Machine Learning Techniques for Time Domain Waveform Prediction in Analog and Mixed Signal Integrated Circuit Verification, Proceedings - International Symposium on Quality Electronic Design, ISQED, San Francisco (2023) (2023-April) .
  30. B. Sivasankari and P. Varalakshmi, Blockchain and IoT Technology in Healthcare: A Review, Studies in Health Technology and Informatics, Nice (2022) (294) : pp277-278 .
  31. M.A.M. Raja, S. Swamynathan and T. Sumitha, Adaptive Classifier Using Extreme Learning Machine for Classifying Twitter Data Streams, Smart Innovation, Systems and Technologies, Tekkali (2022) (281) : pp363-374 .
  32. M.J. Vincent, P. Varalakshmi, U. Nithya, S. Sona and A.M. Thomas, Land Use Land Cover Change Detection using Semi-Automatic Classification- A Case Study in Chennai, Tiruvallur and Kanchipuram Districts, 2022 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2022, Chennai (2022) .
  33. P. Varalakshmi and A.P. Sankaran, Classification of Arrhythmia Based on Machine Learning Algorithms Using ECG Signals, Proceedings - IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022, Chennai (2022) .
  34. P. Varalakshmi, A. Mithesh, B. Niveditha, G. Rubak Preyan and S. Yogeeswar, Intelligent load balancing in SDN, 8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022, Coimbatore (2022) : pp1146-1151 .
  35. P. Varalakshmi, A.V. Priyamvadan and B.R. Rajakumar, Predicting Osteosarcoma using eXtreme Gradient Boosting Model, Proceedings - IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022, Chennai (2022) .
  36. P. Varalakshmi, B. Guhan, B. Thilaksurya and B. Niveditha, Transfer Learning based Hybrid Image Clustering for Brain MRI Images, 2022 1st International Conference on Computational Science and Technology, ICCST 2022 - Proceedings, Chennai (2022) : pp749-753 .
  37. P. Varalakshmi, B. Guhan, P. Vignesh Siva, T. Dhanush and K. Saktheeswaran, Improvising JSON Web Token Authentication in SDN, 2022 International Conference on Communication, Computing and Internet of Things, IC3IoT 2022 - Proceedings, Chennai (2022) .
  38. P. Varalakshmi, B. Sivasankari, R.A. Kumar, K.M. Nithish Kumar and T.V. Venthan, Development of Healthcare Insurance Claim Mechanism using Blockchain Technology, 2022 1st International Conference on Computational Science and Technology, ICCST 2022 - Proceedings, Chennai (2022) : pp835-840 .
  39. P. Varalakshmi, K. Narmadha, B. Niveditha, A. Akshaya and S.K. Sarah, An Efficient Reliable Federated Learning Technology, Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022, Chennai (2022) .
  40. P. Varalakshmi, K.L. Priya, B. Sivasankari and S.J.S. Rajasekar, BoneAgeAI: A Novel Age Prediction Tool using Deep Convolutional Neural Networks, Proceedings - IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022, Chennai (2022) .
  41. P. Varalakshmi, S. Saroja, S. Ketharaman and S. Shimola, Glomeruli Identification in Renal Biopsy using Deep Learning Approaches, Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022, Chennai (2022) .
  42. P. Varalakshmi, S. Sathyamoorthy, V. Darshan, V. Ramanujan and S.J.S. Rajasekar, Detection of Osteoporosis with DEXA Scan Images using Deep Learning Models, Proceedings - IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2022, Chennai (2022) .
  43. R. Mathumitha, P. Rathika and K. Manimala, Big Data Analytics and Visualization of Residential Electricity Consumption Behavior based on Smart Meter Data, Proceedings 2022 International Conference on Breakthrough in Heuristics and Reciprocation of Advanced Technologies Bharat 2022, Visakhapatnam (2022) : pp166-171 .
  44. S. Aravindkumar, P. Varalakshmi and C. Alagappan, Automatic Road Surface Crack Detection Using Deep Learning Techniques, Lecture Notes in Electrical Engineering, Chennai (2022) (806) : pp37-44 .
  45. S. Kanimozhi, T. Mala, A. Kaviya, M. Pavithra and P. Vishali, Key Object Classification for Action Recognition in Tennis Using Cognitive Mask RCNN, Lecture Notes in Networks and Systems, Virtual, Online (2022) (287) : pp121-128 .
  46. S. Sudersan, V.S. Abhijith, M. Thangavel and P. Varalakshmi, A Review on Data Integrity Verification Schemes Based on TPA and Blockchain for Secure Cloud Data Storage, Lecture Notes in Electrical Engineering, Surat (2022) (848) : pp117-129 .
  47. S.J.S. Rajasekar, P. Varalakshmi, K. Narmadha and B. Sivasankari, RemCheck: A Novel Drug Validator Application to detect fake Remdesivir, an Anti-Viral Drug for COVID-19, Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022, Chennai (2022) .
  48. V.S. Abhijith, B. Sowmiya, S. Sudersan, M. Thangavel and P. Varalakshmi, A Review on Security Issues in Healthcare Cyber-Physical Systems, Lecture Notes in Networks and Systems, Kolkata (2022) (291) : pp37-48 .