Publications

Publications

PUBLICATIONS FOR THE ACADEMIC YEAR 2022 – 2023

JOURNAL PUBLICATIONS

  1. Sriram, S., Chitra, P., Sankar, V. V., Abirami, S., & Durai, S. R. (2023). Low-loss data compression using deep learning framework with attention-based autoencoder. International Journal of Computational Science and Engineering, 26(1), 90-100.
  2. Abirami, S., & Chitra, P. (2023). Probabilistic air quality forecasting using deep learning spatial–temporal neural network. GeoInformatica, 27(2), 199-235.
  3. Sivakumar, M., Renuka, P., Chitra, P., & Karthikeyan, S. (2022). IoT incorporated deep learning model combined with SmartBin technology for real‐time solid waste management. Computational Intelligence, 38(2), 323-344.
  4. Sivasundaram, S., & Pandian, C. (2021). Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture. International Journal of Imaging Systems and Technology, 31(4), 2214-2225.
  5. Sriram, S., Dwivedi, A. K., Chitra, P., Sankar, V. V., Abirami, S., Durai, S. R., ... & Khare, M. K. (2022). DeepComp: A Hybrid Framework for Data Compression Using Attention Coupled Autoencoder. Arabian Journal for Science and Engineering, 47(8), 10395-10410
  6. Kanth, A. K., Chitra, P., & Sowmya, G. G. (2022). Deep learning-based assessment of flood severity using social media streams. Stochastic Environmental Research and Risk Assessment, 36(2), 473-493.
  7. Thanush, A. A., Chitra, P., Kasinath, J., & Prakash, R. S. (2022, July). Atmospheric corrosion rate prediction of low-alloy steel using machine learning models. In IOP Conference Series: Materials Science and Engineering (Vol. 1248, No. 1, p. 012050). IOP Publishing.
  8. Abirami, S., & Chitra, P. (2022). Regional spatio-temporal forecasting of particulate matter using autoencoder based generative adversarial network. Stochastic Environmental Research and Risk Assessment, 36(5), 1255-1276.
  9. Alagarsamy, M., & Sathik, A. S. (2022). Context Aware Mobile Application Pre-Launching Model using KNN Classifier. INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 19(6), 932-941.

BOOK CHAPTER

  • Chitra, P., & Abirami, S. (2022). Smart pollution alert system using machine learning. In Research Anthology on Machine Learning Techniques, Methods, and Applications (pp. 1072-1085). IGI Global.

CONFERENCE PUBLICATIONS

  • Chitra, P., & Rajasekaran, U. M. (2022, March). Time-series analysis and flood prediction using a deep learning approach. In 2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) (pp. 139-142). IEEE.
  • Chitra, P., & Abirami, S. (2022, March). A deep learning ensemble model for short-term rainfall prediction. In 2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) (pp. 135-138). IEEE.
  • Yugakiruthika, A. B., & Malini, A. (2022). A Comprehensive Tool Survey for Blockchain to IoT Applications. In Data Engineering for Smart Systems: Proceedings of SSIC 2021 (pp. 89-99). Springer Singapore.
  • Yugakiruthika, A. B., & Malini, A. (2022). Security Testing for Blockchain Enabled IoT System. In Data Engineering for Smart Systems: Proceedings of SSIC 2021 (pp. 45-55). Springer Singapore.
  • Mahalakshmi, M., Ramkumar, M. P., & GSR, E. S. (2022, December). SCADA Intrusion Detection System using Cost Sensitive Machine Learning and SMOTE-SVM. In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 332-337). IEEE.

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