Faculty Publications
| S.NO | Faculty Name | No. of Publications |
|---|---|---|
| 1. | Dr. P. Chitra | 71 |
| 2. | Dr. S. Vijayalakshmi | 56 |
PUBLICATIONS–2026
| Sno | Title |
|---|---|
| 1. | M. Anitha, P. Chitra, G. Selva Jeba.Efficient Net-ViT Hybrid Model for Flood Prediction Through Wetland Classification.Innovative and Intelligent Computing for Global Sustainability, 2026. |
| 2. | P. Kaviya, P. Chitra.Hydro-Meteorological Disaster Prediction Using Deep Learning Techniques.Intelligent Systems and Sustainable Computational Models: Concepts and Applications, 2026. |
| 3. | P. Chitra, P. Kaviya.Digital Twin Based on Edge Computing/Fog Computing/Cloud Computing Toward Smart Home.Home Digital Twins, 2026. |
| 4. | AI for Monitoring and Preventing Environmental Crimes—A Literature Survey T Bhavapriya, T Mutharasi, S Vijayalakshmi, A Lipiga Innovative and Intelligent Computing for Global Sustainability, 329-337, 2026 |
PUBLICATIONS–2025
| Sno | Title |
|---|---|
| 1. | M. Venkatesh, P. Chitra, A. Dharini, C. Umayal, B. Kiruthika.PCOS-GPT: A RAG Enhanced LLM for Personalized Ultrasound Based PCOS Diagnosis.2025 IEEE 17th International Conference on Computational Intelligence and Communication Networks, 2025. |
| 2. | S.R. Mathu Sudhanan. PSO Based Correlated Feature Selection Method to Detect the DDoS Attack Using LSTM and Honey Pot. In First International Conference on Intelligent Systems Using Semiconductors for Robotics and IoT (ICISRI), CRC Press, 1st Edition, 2025. DOI: 10.1201/9781003716389-9 |
| 3. | M. Venkatachalam, P. Chitra.The Dynamics of Bias Diffusion in Multi-Agent LLM Framework.2025 IEEE 32nd International Conference on High Performance Computing, Data and Analytics (HiPC), 2025. |
| 4 | Mathu Sudhanan Sreenivasan, Optimized Artificial Neural Network for Vocal Gender Expression Classification. ETRI Journal (Wiley), 2025, 1–14. DOI: 10.4218/etrij.2024-0608 |
| 5. | M. Venkatachalam, A. A. Thanush, P. Chitra, N. Bayyapu.Explainable Boosting Regression-Based Approach for Demand Forecasting.2025 IEEE First International Conference on Innovations in Engineering and Technology, 2025. |
| 6. | P. Kaviya, P. Chitra.A Hybrid Deep Learning Model.Machine Intelligence for Research and Innovations (MAiTRI Proceedings), 2025. |
| 7. | V. B. Arighant, Y. P. Subashree, R. S. Prakash, P. Chitra.A Hybrid Deep Learning Architecture for Feature Fusion and Spatiotemporal Air Quality Forecasting.Machine Intelligence for Research and Innovations (MAiTRI Proceedings), 2025. |
| 8. | V. Janakiraman, K. Sachin, J. Johnson, P. Chitra.Uncertainty-Aware Wind Speed Forecasting: A GLUE-Based Hybrid Ensemble Approach.2025 International Conference on Next Generation Computing Systems (ICNGCS), 2025. |
| 9. | M. Anitha, P. Chitra, G. D. Priya.Wetland Classification Based on Carbon Retention Using Machine Learning Algorithm.2025 8th International Conference on Computing Methodologies and Communication, 2025. |
| 10. | C. P. Kaviya. P.FL-ELMQ: A Hybrid Federated Learning Framework to Address Non-Stationarity and Uncertainty in Heat Wave Forecasting.Theoretical and Applied Climatology, 2025. |
| 11. | J. Gerald Manju et al.A Hybrid Generative AI Demand Forecasting Framework for Mitigating the Bullwhip Effect in Supply Chain Operations.Lecture Notes in Networks and Systems, Springer, 2025. |
| 12. | M. Anitha, P. Chitra.Integrated Wetland Classification Using Spectral and Numerical Data for Sustainable Ecosystem Management.Anadolu Psikiyatri Dergisi, 2025. |
| 13. | Dr.S.Vijayalakshmi, T.Mutharasi, Venkatachalapathy, Muthukrishnan, “Flood predictions & risk analysis using machine Learning – A literature survey” in the Two Days International Conference on Recent Trends in Computer Science-RTCS 2025, organised by Department of Computer Science, Alagappa University, Karaikudi. |
PUBLICATIONS–2024
| Sno | Title |
|---|---|
| 1. | G. Selva Jeba, P. Chitra.River Flood Prediction Through Flow Level Modeling Using Multi-Attention Encoder-Decoder-Based TCN with Filter-Wrapper Feature Selection.Earth Science Informatics, Springer Berlin Heidelberg, August 2024. |
| 2. | G. Selva Jeba, P. Chitra.Flood Prediction Through Hydrological Modeling of Rainfall Using Conv1D-SBiGRU Algorithm and RDI Estimation: A Hybrid Approach.Stochastic Environmental Research and Risk Assessment, Springer, July 2024. |
| 3. | S. Abirami, M. Pethuraj, M. Uthayakumar, P. Chitra.A Systematic Survey on Big Data and Artificial Intelligence Algorithms for Intelligent Transportation System.Case Studies on Transport Policy, Elsevier, June 2024. |
| 4. | M. Anitha, P. Chitra, P. Meenaragavi.Segmentation of Water Bodies from Satellite Images Using Spatial-Channel Attention UNet.2024 International Conference on Smart Systems for Electrical, Electronics and Computer Engineering, 2024. |
| 5. | V. Janakiraman, P. Chitra.Wind Speed Forecasting Using Deep Learning.2024 International Conference on Smart Systems for Electrical, Electronics and Computer Engineering, 2024. |
| 6. | P. Chitra.Flood Detection from Satellite Images Using Self-Attention Empowered EfficientNetV2 Mechanism.7th International Conference on Computing, Communication, Control and Automation, 2024. |
| 7. | T.Mutharasi, Dr.S.Vijayalakshmi, “A Multimodal Deep Learning Approach to Decoding Student Participation in Online Classrooms”, 2024 OITS International Conference on Information Technology (OCIT), Year: 2024, Pages: 149-154 published in IEEE Computer Society digital library. DOI Bookmark: 10.1109/OCIT65031.2024.00035 |
PUBLICATIONS–2023
| 1. S. Abirami, P. Chitra. Probabilistic Air Quality Forecasting Using Deep Learning Spatial–Temporal Neural Network. GeoInformatica, Springer, 2023. |
| 2. P. Kaviya, P. Chitra, B. Selvakumar. A Unified Framework for Monitoring Social Distancing and Face Mask Wearing Using Deep Learning: An Approach to Reduce COVID-19 Risk. Procedia Computer Science, Elsevier, 2023. |
| 3. S. Sriram, P. Chitra, V. V. Sankar, S. Abirami, S. J. R. Durai. Low-Loss Data Compression Using Deep Learning Framework with Attention-Based Autoencoder. International Journal of Computational Science and Engineering, 2023. |
| 4. R. Deepa, S. Gayathri, P. Chitra, et al. An Enhanced Machine Learning Technique for Text Detection Using Keras Sequential Model. Second International Conference on Electronics and Renewable Systems, 2023. |
| 5. M. Rajeswari, P. Shyamala, P. Chitra. Exposure on Semi-Supervised Regression with Generative Adversarial Networks. Intern |
| 6. ational Conference on Data Science, Agents & Artificial Intelligence, 2023. |
PUBLICATIONS–2022
| 1. K. A. Krishna, P. Chitra, S. G. Gayathri. Deep Learning-Based Assessment of Flood Severity Using Social Media Streams. Stochastic Environmental Research and Risk Assessment, Springer, 2022. |
| 2. S. Abirami, P. Chitra. Regional Spatio-Temporal Forecasting of Particulate Matter Using Autoencoder-Based Generative Adversarial Network. Stochastic Environmental Research and Risk Assessment, Springer, 2022. |
| 3. S. Sriram, A. K. Dwivedi, P. Chitra, et al. DeepComp: A Hybrid Framework for Data Compression Using Attention Coupled Autoencoder. Arabian Journal for Science and Engineering, Springer, 2022. |
| 4. P. Chitra, S. Abirami. A Deep Learning Ensemble Model for Short-Term Rainfall Prediction. International Conference on Wireless Communications Signal Processing, 2022. |
| 5. P. Chitra, U. M. Rajasekaran. Time-Series Analysis and Flood Prediction Using a Deep Learning Approach. International Conference on Wireless Communications Signal Processing, 2022. |
| 6. A. Thanush, P. Chitra. Atmospheric Corrosion Rate Prediction of Low-Alloy Steel Using Machine Learning Models. IOP Conference Series: Materials Science and Engineering, 2022. |
| 7. S. N. Gokul Raj, P. Chitra, A. K. Silesh, R. Lingeshwaran. Flood Severity Assessment Using DistilBERT and NER. International Conference on Machine Intelligence and Signal Processing, 2022. |
PUBLICATIONS–2021
| 1. S. Abirami, P. Chitra. Regional Air Quality Forecasting Using Spatiotemporal Deep Learning. Journal of Cleaner Production, Elsevier, 2021. |
| 2. S. Sivasundaram, C. Pandian. Performance Analysis of Classification and Segmentation of Cysts in Panoramic Dental Images Using CNN Architecture. International Journal of Imaging Systems and Technology, Wiley, 2021. |
| 3. B. Rasina Begum, P. Chitra. SEEDDUP: A Three-Tier Secure Data Deduplication Architecture-Based Storage and Retrieval for Cross-Domains over Cloud. IETE Journal of Research, Taylor & Francis, 2021. |
| 4. K. M. Shanthini, P. Chitra, S. Abirami, et al. Recommendation of Product Value by Extracting Expiry Date Using Deep Neural Network. 12th International Conference on Computing Communication and Networking Technologies, 2021. |
PUBLICATIONS–2020
| 1. S. Abirami, P. Chitra. Energy-Efficient Edge Based Real-Time Healthcare Support System. Advances in Computers, Elsevier, 2020. |
| 2. S. Sivagami, P. Chitra, G. S. R. Kailash, S. R. Muralidharan. UNet Architecture Based Dental Panoramic Image Segmentation. International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), 2020. |
| 3. M. M. Lakshmi, P. Chitra. Classification of Dental Cavities from X-ray Images Using Deep CNN Algorithm. 2020 International Conference on Trends in Electronics and Informatics (ICOEI), 2020. |
| 4. M. M. Lakshmi, P. Chitra. Tooth Decay Prediction and Classification from X-ray Images Using Deep CNN. 2020 International Conference on Communication and Signal Processing (ICCSP), 2020. |
| 5. R. Barathy, P. Chitra. Applying Matrix Factorization in Collaborative Filtering Recommender Systems. 6th International Conference on Advanced Computing and Communication Systems, 2020. |
| 6. S. Abirami, P. Chitra, R. Madhumitha, S. R. Kesavan. Hybrid Spatio-Temporal Deep Learning Framework for Particulate Matter (PM2.5) Concentration Forecasting. International Conference on Innovative Trends in Information Technology, 2020. |