Παρακολούθηση
Dr. Pallabi Saikia
Dr. Pallabi Saikia
Assistant Professor
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα rgipt.ac.in - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
A review of deep learning with special emphasis on architectures, applications and recent trends
S Sengupta, S Basak, P Saikia, S Paul, V Tsalavoutis, F Atiah, V Ravi, ...
Knowledge-Based Systems 194, 105596, 2020
4512020
Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models
P Saikia, RD Baruah, SK Singh, PK Chaudhuri
Computers & Geosciences 135, 104357, 2020
1652020
A hybrid CNN-LSTM model for video deepfake detection by leveraging optical flow features
P Saikia, D Dholaria, P Yadav, V Patel, M Roy
2022 international joint conference on neural networks (IJCNN), 1-7, 2022
742022
Face detection using skin colour model and distance between eyes
P Saikia, G Janam, M Kathing
International Journal of Computing, Communications and Networking 1 (3), 2012
182012
Modelling social context for fake news detection: a graph neural network based approach
P Saikia, K Gundale, A Jain, D Jadeja, H Patel, M Roy
2022 international joint conference on neural networks (IJCNN), 01-08, 2022
122022
Reservoir facies classification using convolutional neural networks
P Saikia, D Nankani, RD Baruah
2019 IEEE Recent Advances in Geoscience and Remote Sensing: Technologies …, 2019
102019
Investigating stacked ensemble model for oil reservoir characterisation
P Saikia, RD Baruah
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 13-20, 2019
82019
Automatic concurrent arrhythmia classification using deep residual neural networks
D Nankani, P Saikia, RD Baruah
2020 Computing in Cardiology, 1-4, 2020
72020
Unsupervised pre-training on improving the performance of neural network in regression
P Saikia, P Vij, RD Baruah
2018 International Joint Conference on Neural Networks (IJCNN), 01-06, 2018
72018
& Peters, A.(2020). A review of deep learning with special emphasis on architectures, applications and recent trends
S Sengupta, S Basak, P Saikia, S Paul, V Tsalavoutis, F Atiah
Knowledge-Based Systems 194, 105596, 0
7
Evaluating the applicability of neural network to determine the extractable temperature from a shallow reservoir of Puga geothermal field
H Puppala, P Saikia, P Kocherlakota, DV Suriapparao
International Journal of Thermofluids 17, 100259, 2023
62023
A futuristic survey on learning techniques for internet of things (IoT) security: developments, applications, and challenges
C Patel, S Vyas, P Saikia
Authorea Preprints, 2022
62022
A Review of Deep Learning with Special Emphasis on Architectures
S Sengupta, S Basak, P Saikia, S Paul, V Tsalavoutis, FD Atiah, V Ravi, ...
Applications and Recent Trends, 2019
62019
Detection of pneumonia from chest X-ray images using transfer learning on deep CNN
A Gupta, M Padsala, P Saikia
2023 4th International Conference for Emerging Technology (INCET), 1-6, 2023
42023
An empirical study on unsupervised pre-training approaches in regression problems
P Saikia, RD Baruah
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 342-349, 2018
42018
Seismic signal interpretation for reservoir facies classification
P Saikia, D Nankani, RD Baruah
Pattern Recognition and Machine Intelligence: 8th International Conference …, 2019
32019
A Biometric Authentication Approach using Face Recognition System
P Saikia, M Kathing
International Journal of Advanced Research in Computer Science and Software …, 2014
32014
Stacked ensemble model for reservoir characterisation to predict log properties from seismic signals
P Saikia, RD Baruah
Computational Geosciences 27 (6), 1067-1086, 2023
22023
Machine Learning Paradigm for Predicting Reservoir Property: An Exploratory Analysis
DNRDB P. Saikia
Earth Observation Data Analytics Using Machine and Deep Learning: Modern …, 2023
2*2023
Land Cover Classification from Satellite Data using Machine Learning Techniques
N Vora, A Patel, K Shah, P Saikia
2021 International Conference on Artificial Intelligence and Machine Vision …, 2021
12021
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