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Latest Conferences (Scopus indexed)

  1. 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 .
  2. 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 .
  3. 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) .
  4. 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 .
  5. 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 .
  6. 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 .
  7. 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 .
  8. 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 .
  9. 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) .
  10. 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) .
  11. 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 .
  12. 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) .
  13. 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) .
  14. 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) .
  15. R.S. Priya and K. Vani, Climate Change Forecast for Forest Fire Risk Prediction using Deep Learning, 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023, Coimbatore (2023) : pp1065-1070 .
  16. 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 .
  17. 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) .
  18. B. Sivasankari and P. Varalakshmi, Blockchain and IoT Technology in Healthcare: A Review, Studies in Health Technology and Informatics, Nice (2022) (294) : pp277-278 .
  19. 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 .
  20. 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) .
  21. 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) .
  22. 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 .
  23. 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) .
  24. 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 .
  25. 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) .
  26. 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 .
  27. 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) .
  28. 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) .
  29. 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) .
  30. 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) .
  31. 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 .
  32. 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 .
  33. 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 .
  34. 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) .
  35. 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 .
  36. A. Christiyanaarulselvi, S. Sendhilkumar and G.S. Mahalakshmi, User recommendation in OSN, Advances in Parallel Computing, (2021) (38) : pp47-51 .
  37. M. Srivani, T. Mala and S. Abirami, A cognitive knowledge base for learning disabilities using concept analysis, Advances in Intelligent Systems and Computing, Jaipur (2021) (1141) : pp361-372 .
  38. P. Varalakshmi, A. Aishwarya Lakshmi, R. Swetha and M. Apsana Rahema, A Comparative Analysis of Machine and Deep Learning Models for Cervical Cancer Classification, 2021 International Conference on System, Computation, Automation and Networking, ICSCAN 2021, Puducherry (2021) .
  39. P. Varalakshmi, B. Tharani Priya, B. Anu Rithiga and R. Bhuvaneaswari, Parkinson Disease Detection Based on Speech Using Various Machine Learning Models and Deep Learning Models, 2021 International Conference on System, Computation, Automation and Networking, ICSCAN 2021, Puducherry (2021) .
  40. P. Varalakshmi, M. Ashokkumar, A. Ilangovan and T.D. Prasanna Kumar, Proof-of-Points for Electronic Health Records in Blockchain, 2021 International Conference on System, Computation, Automation and Networking, ICSCAN 2021, Puducherry (2021) .
  41. P. Varalakshmi, V. Aruna Devi, M. Ezhilarasi and N. Sandhiya, Enhanced Dermatoscopic Skin Lesion Classification using Machine Learning Techniques, 2021 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2021, Chennai (2021) : pp68-71 .
  42. P. Varalakshmi, V. Ramanujan, C. Caushik Subramaniam and R. Aditya Vishwakarma, EEG Signal Based Epileptic Seizure Forecasting Using Deep Learning Models, 2021 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2021, Chennai (2021) : pp103-107 .
  43. S. Kirupalini, A. Baskar, A. Ramesh, G. Rengarajan, S. Gowri, S. Swetha and D. Sangeetha, Prevention of Emotional Entrapment of Children on Social Media, Proceedings of the 2021 International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2021, Virtual, Hyderabad (2021) : pp95-100 .
  44. S. Sudersan, B. Sowmiya, V.S. Abhijith, M. Thangavel and P. Varalakshmi, Enhanced DNA Cryptosystem for Secure Cloud Data Storage, ICSCCC 2021 - International Conference on Secure Cyber Computing and Communications, Jalandhar (2021) : pp337-342 .
  45. S.J.S. Rajasekar, V. Narayanan and V. Perumal, Detection of COVID-19 from chest CT images using CNN with MLP hybrid model, Studies in Health Technology and Informatics, Virtual, Online (2021) (285) : pp288-291 .
  46. T. Arikrishnan and S. Swamynathan, Medical Transcriptions and UMLS-Based Disease Inference and Risk Assessment Using Machine Learning, Advances in Intelligent Systems and Computing, Mangalore (2021) (1176) : pp509-517 .
  47. T. Sulthana, K. Soundararajan, T. Mala, K. Narmatha and G. Meena, Captioning of Image Conceptually Using BI-LSTM Technique, IFIP Advances in Information and Communication Technology, Virtual, Online (2021) (611 IFIPAICT) : pp71-77 .
  48. V. Perumal and K. Theivanithy, A Transfer Learning Model for COVID-19 Detection with Computed Tomography and Sonogram Images, 2021 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2021, Chennai (2021) : pp80-83 .
  49. V. Rajalakshmi, S. Sendhilkumar and G.S. Mahalakshmi, Classification of Technical Debts in Software Development Using Text Analytics, EAI/Springer Innovations in Communication and Computing, Lalitpur (2021) : pp313-323 .
  50. V.N.J. Robert and K. Vidya, A comparative study of cooperative and non-cooperative game model for overlay spectrum access in multihop cognitive radio networks, AIP Conference Proceedings, Kozhikode, Virtual (2021) (2336) .
  51. A.A. Micheal, K. Vani, S. Sanjeevi and C.-H. Lin, A TOOL to ENHANCE the CAPACITY for DEEP LEARNING BASED OBJECT DETECTION and TRACKING with UAV DATA, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Nice, Virtual (2020) (43) : pp221-226 .
  52. D. Sangeetha, M.V. Rathnam, R. Vignesh, J.S. Chaitanya and V. Vaidehi, MEDIDRONE—A Predictive Analytics-Based Smart Healthcare System, Smart Innovation, Systems and Technologies, Kansas City (2020) (164) : pp19-33 .
  53. D. Teekaraman, S. Selvaraju and M. Guruvayur Suryanarayanan, Trustworthy User Recommendation Using Boosted Vector Similarity Measure, IFIP Advances in Information and Communication Technology, Chennai (2020) (578) : pp43-58 .
  54. D.G. Harini, K. Manogari, A. Monisha and K. Vani, Landslide detection and analysis using 3D point cloud, ACRS 2020 - 41st Asian Conference on Remote Sensing, Deqing City, Virtual (2020) .
  55. E.S. Smitha, S. Sendhilkumar and G.S. Mahalaksmi, Measuring Social Sarcasm on GST, New Trends in Computational Vision and Bio-Inspired Computing - Selected Works Presented at the ICCVBIC 2018, Coimbatore (2020) : pp1479-1486 .
  56. G.S. Mahalakshmi, G. MuthuSelvi and S. Sendhilkumar, Gibbs Sampled Hierarchical Dirichlet Mixture Model Based Approach for Clustering Scientific Articles, Advances in Intelligent Systems and Computing, Silchar (2020) (766) : pp169-177 .
  57. G.S. Mahalakshmi, S. Hemadharsana, G. Muthuselvi and S. Sendhilkumar, Learning Deep Topics of Interest, New Trends in Computational Vision and Bio-Inspired Computing - Selected Works Presented at the ICCVBIC 2018, Coimbatore (2020) : pp1517-1532 .
  58. G.S. Mahalakshmi, S. Sendhilkumar, P. Jancy and K.S. Easwarakumar, A Neural Learning Approach for Prediction of Research Citations Using Article Semantics, 2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020, Coimbatore (2020) : pp816-819 .
  59. K. Girthana and S. Swamynathan, Query-Oriented Patent Document Summarization System (QPSS), Advances in Intelligent Systems and Computing, Jalandhar (2020) (1053) : pp237-246 .
  60. K. Vidya, L. Amalbabu, K.S. Sowndharya and S. Balaji, Secured Automated Complaint Generation System for Organizations, 4th International Conference on Computer, Communication and Signal Processing, ICCCSP 2020, Chennai (2020) .
  61. S. Aravindkumar, P. Varalakshmi and M. Hemalatha, Generation of image caption using CNN-LSTM based approach, Advances in Intelligent Systems and Computing, Vellore (2020) (940) : pp465-474 .
  62. S. Engoor, S. Selvaraju, H.S. Christopher, M. Guruvayur Suryanarayanan and B. Ranganathan, Effective Emotion Recognition from Partially Occluded Facial Images Using Deep Learning, IFIP Advances in Information and Communication Technology, Chennai (2020) (578) : pp213-221 .
  63. S. Engoor, S. Sendhilkumar, C. Hepsibah Sharon and G.S. Mahalakshmi, Occlusion-aware Dynamic Human Emotion Recognition Using Landmark Detection, 2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020, Coimbatore (2020) : pp795-799 .
  64. V.M. Jenila, P. Varalakshmi and S.J. Sundar Rajasekar, Geospatial mapping, Epidemiological modelling, Statistical correlation and analysis of COVID-19 with Forest cover and Population in the districts of Tamil Nadu, India, Proceedings of IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation, ICATMRI 2020, Buldana, Maharashtra (2020) .