Journal Publications
Pallabi Saikia, and Rashmi Dutta Baruah. “GeoTrans: A Transfer Learning Approach for Estimating Petrophysical Properties from Geophysical Sensors Data.” Neural Computing and Applications, Springer. 1-18, February 2024
Pallabi Saikia and Rashmi Dutta Baruah. “SEMoRC: Stacked Ensemble Model for Reservoir Characterisation to Predict Log Properties from Seismic Signals.” Computational Geosciences, Springer, Volume 27(5), 1067 - 1086, December 2023.
Harish Puppala Pallabi Saikia, and Satya Pritam. “Evaluating the applicability of neural network to determine the extractable temperature from a shallow reservoir of Puga geothermal field. ” International Journal of Thermofluids, Volume 17 (2023): 100259
Chintan Patel, Shubham Vyas, Pallabi Saikia, Denish kalariya, Naman Parmar and Samir Patel. “A Futuristic Survey on Learning Techniques for IoT Security: Developments, Applications, and Challenges. TechRxiv, Preprint, 2022.
Pallabi Saikia, Rashmi Dutta Baruah, Sanjay Kumar Singh, Pradip Kumar Chaudhuri. “Artificial Neural Networks in the Domain of Reservoir Characterisation: A Review from Shallow to Deep Models.” Computers & Geosciences, Elsevier, Volume 135(2), 104357, February 2020.
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Vadlamani Ravi, and Alan Peters.“A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends.”, Knowledge Based Systems, Elsevier, Volume 194(4), 105596, 2020.
Pallabi Saikia, Margaret Kathing, ”A Biometric Authentication Approach using Face Recognition System”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4(3), 1295 - 1301, March 2014.
Pallabi Saikia, Gollo Janam, and Margaret Kathing. “Face detection using skin colour model and distance between eyes.” International Journal of Computing, Communications and Networking , WARSE, Volume 1(3), 102 - 105, December 2012.
Conference Publications
Advait Gupta, Manan and Pallabi Saikia. “Detection of Pneumonia from Chest X-Ray Images Using Transfer Learning on Deep CNN.” In International Conference of Emerging Technology (INCET), IEEE, 26 - 28 May, 2023.
Pallabi Saikia, Dhwani Dholaria, Priyanka, Vaidehi Patel, and Mohendra Roy. “A Hybrid CNN-LSTM model on Leveraging Optical Flow Features of Faces for Deepfake Detection.” In International Joint Conference in Neural Networks (IJCNN), IEEE, 2022.
Pallabi Saikia, Kshiti Patel, Ankit Jain, Dev Jadeja, Harvi Patel and Mohendra Roy. “Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach.” In International Joint Conference in Neural Networks (IJCNN), IEEE, 2022.
Prithviraj Kanaujia, Pallabi Saikia, and Deepankar Nankani. “Restoring Face Occluded Images Using GAN Based Inpainting with Perceptual and Contextual Losses.” In International Conference on Pattern Recognition and Machine Intelligence (PReMI), IEEE, 2021.
Nisarg Vora, Arush Patel, Kathan Shah, and Pallabi Saikia. “Land Cover Classification from Satellite Data using Machine Learning Techniques.” In Artificial Intelligence Machine Vision (AIMV), IEEE, 2021.
Deepankar Nankani, Pallabi Saikia, and Rashmi Dutta Baruah. “Automatic Concurrent Arrhythmia Classification using Deep Residual Neural Networks.” In 2020 Computing in Cardiology Conference (CinC), IEEE, 2020.
Pallabi Saikia, Deepankar Nankani and Rashmi Dutta Baruah. “Reservoir Facies Classification using Convolutional Neural Networks.”, “IEEE Recent Advances in Geoscience and Remote Sensing: Technologies, Standards and Applications (TENGARSS)”, IEEE, 2019.
Pallabi Saikia, Deepankar Nankani and Rashmi Dutta Baruah. “Seismic Signal Interpretation for Reservoir Facies Classification.” In International Conference on Pattern Recognition and Machine Intelligence, Springer, 2019.
Pallabi Saikia and Rashmi Dutta Baruah. “Investigating Stacked Ensemble Model for Oil Reservoir Characterisation.” In IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2019.
Pallabi Saikia and Rashmi Dutta Baruah. “An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems.” In 2018 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2018.
Pallabi Saikia, Prateek Vij, and Rashmi Dutta Baruah. “Unsupervised Pre-training on Improving the Performance of Neural Network in Regression.” In International Joint Conference on Neural Networks (IJCNN), IEEE, 2018.
Book Chapters
Pallabi Saikia, Deepankar Nankani and Rashmi Dutta Baruah. ”Chapter 10: Machine Learning Paradigm for Predicting Reservoir Property: An Exploratory Analysis”, Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges, The Institution of Engineering and Technology (IET), ISBN-13: 978-1-83953-617-5, 149 – 174, 2023.
Patent
Method of Predicting Reservoir Properties by Leveraging Unlabelled Seismic Data through Hybrid Deep Learning Approach, Pallabi Saikia, Rashmi Dutta Baruah, P.K. Das, S. K. Singh, P. K. Chaudhuri, Rajeev Tandon,
Patent Application Number: 202111055351, Filed on November 30, 2021
