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Soumi Chaki
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2020 – today
- 2023
- [i9]Soumi Chaki, David Weinberg, Ayça Özcelikkale:
Communication Trade-offs in Federated Learning of Spiking Neural Networks. CoRR abs/2303.00928 (2023)
2010 – 2019
- 2019
- [j4]Soumi Chaki, Aurobinda Routray, William K. Mohanty:
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. 12(10): 3759-3768 (2019) - 2018
- [j3]Soumi Chaki, Aurobinda Routray, William K. Mohanty:
Well-Log and Seismic Data Integration for Reservoir Characterization: A Signal Processing and Machine-Learning Perspective. IEEE Signal Process. Mag. 35(2): 72-81 (2018) - [c1]Soumi Chaki, Aurobinda Routray, William K. Mohanty:
A Variational Mode Decomposition Based Novel Preprocessing Method for Reservoir Characterization Using Support Vector Regression. IGARSS 2018: 6171-6174 - 2017
- [j2]Soumi Chaki, Aurobinda Routray, William K. Mohanty:
A Diffusion Filter Based Scheme to Denoise Seismic Attributes and Improve Predicted Porosity Volume. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5265-5274 (2017) - 2016
- [i8]Soumi Chaki, Aurobinda Routray, William K. Mohanty, Mamata Jenamani:
Development of a hybrid learning system based on SVM, ANFIS and domain knowledge: DKFIS. CoRR abs/1612.00585 (2016) - [i7]Soumi Chaki, Aurobinda Routray, William K. Mohanty, Mamata Jenamani:
A novel multiclassSVM based framework to classify lithology from well logs: a real-world application. CoRR abs/1612.00840 (2016) - [i6]Soumi Chaki, Akhilesh Kumar Verma, Aurobinda Routray, William K. Mohanty, Mamata Jenamani:
A Novel Framework based on SVDD to Classify Water Saturation from Seismic Attributes. CoRR abs/1612.00841 (2016) - [i5]Soumi Chaki, Akhilesh Kumar Verma, Aurobinda Routray, William K. Mohanty, Mamata Jenamani:
A One class Classifier based Framework using SVDD : Application to an Imbalanced Geological Dataset. CoRR abs/1612.01349 (2016) - 2015
- [j1]Soumi Chaki, Aurobinda Routray, William K. Mohanty:
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. 8(4): 1808-1820 (2015) - [i4]Soumi Chaki:
Reservoir Characterization: A Machine Learning Approach. CoRR abs/1506.05070 (2015) - [i3]Soumi Chaki, Aurobinda Routray, William K. Mohanty:
A Novel Pre-processing Scheme to Improve the Prediction of Sand Fraction from Seismic Attributes using Neural Networks. CoRR abs/1509.07065 (2015) - [i2]Akhilesh K. Verma, Soumi Chaki, Aurobinda Routray, William K. Mohanty, Mamata Jenamani:
Quantification of sand fraction from seismic attributes using Neuro-Fuzzy approach. CoRR abs/1509.07074 (2015) - [i1]Soumi Chaki, Akhilesh K. Verma, Aurobinda Routray, William K. Mohanty, Mamata Jenamani:
Well Tops Guided Prediction of Reservoir Properties using Modular Neural Network Concept A Case Study from Western Onshore, India. CoRR abs/1509.07079 (2015)
Coauthor Index
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