William K. Mohanty
Orcid: 0000-0001-8755-0176
According to our database1,
William K. Mohanty
authored at least 16 papers
between 2014 and 2021.
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Bibliography
2021
Application of Walsh Filter in Geophysical Well-Log Data Interpretation for Automated Lithological Bed Boundary Detection.
Proceedings of the IECON 2021, 2021
Automatic Classification of Lithofacies with Highly Imbalanced Dataset Using Multistage SVM Classifier.
Proceedings of the IECON 2021, 2021
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
A Novel Preprocessing Method Based on Variational Mode Decomposition for Reservoir Characterization Using Support Vector Regression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
2018
Well-Log and Seismic Data Integration for Reservoir Characterization: A Signal Processing and Machine-Learning Perspective.
IEEE Signal Process. Mag., 2018
A Variational Mode Decomposition Based Novel Preprocessing Method for Reservoir Characterization Using Support Vector Regression.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
A Diffusion Filter Based Scheme to Denoise Seismic Attributes and Improve Predicted Porosity Volume.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
2016
A One class Classifier based Framework using SVDD : Application to an Imbalanced Geological Dataset.
CoRR, 2016
A Novel Framework based on SVDD to Classify Water Saturation from Seismic Attributes.
CoRR, 2016
A novel multiclassSVM based framework to classify lithology from well logs: a real-world application.
CoRR, 2016
Development of a hybrid learning system based on SVM, ANFIS and domain knowledge: DKFIS.
CoRR, 2016
2015
A Novel Preprocessing Scheme to Improve the Prediction of Sand Fraction From Seismic Attributes Using Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
CoRR, 2015
Well Tops Guided Prediction of Reservoir Properties using Modular Neural Network Concept A Case Study from Western Onshore, India.
CoRR, 2015
A Novel Pre-processing Scheme to Improve the Prediction of Sand Fraction from Seismic Attributes using Neural Networks.
CoRR, 2015
2014
IEEE Geosci. Remote. Sens. Lett., 2014