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Swapnil Mache
Swapnil Mache
RayFos
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引用次数
引用次数
年份
DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network
S Mache, PK Pokala, K Rajendran, CS Seelamantula
http://arxiv.org/abs/2104.04704, 2021
92021
Introducing nonuniform sparse proximal averaging network for seismic reflectivity inversion
S Mache, PK Pokala, K Rajendran, CS Seelamantula
IEEE Transactions on Computational Imaging 9, 475-489, 2023
52023
NuSPAN: A Proximal Average Network for Nonuniform Sparse Model -- Application to Seismic Reflectivity Inversion
S Mache, PK Pokala, K Rajendran, CS Seelamantula
https://arxiv.org/abs/2105.00003, 2021
52021
An ensemble of proximal networks for sparse coding
KKR Nareddy, S Mache, PK Pokala, CS Seelamantula
2022 IEEE International Conference on Image Processing (ICIP), 1251-1255, 2022
12022
Temporally variable recurrence regimes of mega-tsunamis in the 6500 years prior to the 2004 Indian Ocean event
J Sanwal, CP Rajendran, M Heidarzadeh, S Mache, K Anandasabari, ...
Marine Geology 460, 107051, 2023
2023
Hilbert–Huang Transform and Energy Rate Functions for Earthquake Source Characterization—A Study from the Japan Trench
S Mache, A Chatterjee, K Rajendran, CS Seelamantula
Bulletin of the Seismological Society of America, 2022
2022
Explainable Deep Neural Networks for Seismic Reflectivity Inversion
S Mache, PK Pokala, K Rajendran, CS Seelamantula
AGU Fall Meeting 2021 2021, S15F-0312, 2021
2021
Energy Rate Functions: An Overview of HHT-based Earthquake Source Characterization using Strong Motion Data
S Mache, N Chauhan, A Chatterjee, K Rajendran
AGU 2020 Fall Meeting 2020, S067-03, 2020
2020
Energy release patterns and shaking effects of earthquakes in the Japan Trench: A Hilbert-Huang Transform approach
S Mache, K Rajendran
JpGU-AGU Joint Meeting 2020 2020, SSS05-P02, 2020
2020
An Alternate Method for Earthquake Source Characterization through Empirical Mode Decomposition and Spectral Analysis of Strong-Motion Records
S Mache, A Chatterjee, K Rajendran
AGUFM 2019, S31C-0530, 2019
2019
Insights on the source characteristics of Japanese earthquakes from source models developed from teleseismic and strong-motion records
A Chatterjee, S Mache, K Rajendran
AGUFM 2019, S53G-0561, 2019
2019
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