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Data_Sheet_1_Comparative Study of Traditional and Deep-Lear..:

Miral S. Tawfik (11995442) ; Amogh Subbakrishna Adishesha (11995445) ; Yuhan Hsi (11995448)...
https://figshare.com/articles/dataset/Data_Sheet_1_Comparative_Study_of_Traditional_and_Deep-Learning_Denoising_Approaches_for_Image-Based_Petrophysical_Characterization_of_Porous_Media_pdf/19028408. , 2022

Link: https://doi.org/10.3389/frwa.2021.800369.s001

RT Journal
T1 <Title>Data_Sheet_1_Comparative Study of Traditional and Deep-Learning Denoising Approaches for Image-Based Petrophysical Characterization of Porous Media.pdf</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_19028408&Exemplar=1&LAN=DE
				
A1 Miral S. Tawfik (11995442)
A1 Amogh Subbakrishna Adishesha (11995445)
A1 Yuhan Hsi (11995448)
A1 Prakash Purswani (11995451)
A1 Russell T. Johns (11995454)
A1 Parisa Shokouhi (11995457)
A1 Xiaolei Huang (1397371)
A1 Zuleima T. Karpyn (10064032)
YR 2022
K1 Hydrology
K1 Natural Resource Management
K1 Water Quality Engineering
K1 Water Resources Engineering
K1 Environmental Politics
K1 image processing
K1 micro-computed tomography
K1 deep learning
K1 denoising
K1 image enhancement
K1 digital rock physics
K1 carbon capture utilization and storage (CCUS)
K1 enhanced oil recovery
JF https://figshare.com/articles/dataset/Data_Sheet_1_Comparative_Study_of_Traditional_and_Deep-Learning_Denoising_Approaches_for_Image-Based_Petrophysical_Characterization_of_Porous_Media_pdf/19028408
LK http://dx.doi.org/https://doi.org/10.3389/frwa.2021.800369.s001
DO https://doi.org/10.3389/frwa.2021.800369.s001
SF ELIB - SuUB Bremen

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