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Theresa Sawi
Theresa Sawi
在 usgs.gov 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Revisiting short-term earthquake triggered volcanism
TM Sawi, M Manga
Bulletin of Volcanology 80, 1-9, 2018
452018
An Unsupervised Machine‐Learning Approach to Understanding Seismicity at an Alpine Glacier
T Sawi, B Holtzman, F Walter, J Paisley
Journal of Geophysical Research: Earth Surface 127 (12), e2022JF006909, 2022
112022
Volcanic precursor revealed by machine learning offers new eruption forecasting capability
K Wang, F Waldhauser, M Tolstoy, D Schaff, T Sawi, WSD Wilcock, ...
Geophysical Research Letters 51 (19), e2024GL108631, 2024
52024
Mapping and classification of volcanic deposits using multi-sensor unoccupied aerial systems
BB Carr, E Lev, T Sawi, KA Bennett, CS Edwards, SA Soule, SV Vargas, ...
Remote Sensing of Environment 264, 112581, 2021
42021
Unsupervised spectral feature extraction applied to acoustic emissions during brittle creep of basalt under dry and wet conditions
B Holtzman, N Groebner, T Sawi, T Xing, M Pec, H Ghaffari, U Mok, ...
AGU Fall Meeting Abstracts 2021, H12E-04, 2021
22021
Detecting Repeating Earthquakes on the San Andreas Fault with Unsupervised Machine Learning of Spectrograms
T Sawi, F Waldhauser, BK Holtzman, N Groebner
The Seismic Record 3 (4), 376-384, 2023
12023
Characterization of seismicity from different glacial bed types: machine learning classification of laboratory stick-slip acoustic emissions
S Saltiel, N Groebner, T Sawi, C McCarthy
Annals of Glaciology 65, e17, 2025
2025
A Web-based Tool for Exploring Fiber Optic Seismology Experiments
P Puri, T Sawi, JJ McGuire, AJ Barbour, CE Yoon, S Haefner, ...
AGU24, 2024
2024
Assessing Distributed Acoustic Sensing and Borehole Strain Waveform Statistics for Improving Earthquake Early Warning
T Sawi, JJ McGuire, CE Yoon, AJ Barbour, V Yartsev, M Karrenbach, ...
AGU24, 2024
2024
Training the Next Generation of Seismologists: Delivering Research-Grade Software Education for Cloud and HPC Computing through Diverse Training Modalities
M Denolle, C Tape, E Bozdağ, Y Wang, F Waldhauser, AA Gabriel, ...
arXiv preprint arXiv:2409.19147, 2024
2024
Unsupervised Machine-Learning Applications in Seismology
T Sawi
Columbia University, 2024
2024
Characterizing seismic and acoustic signals at Axial Seamount with unsupervised machine learning
K Wang, F Waldhauser, M Tolstoy, WSD Wilcock, T Sawi, DP Schaff, ...
AGU Fall Meeting Abstracts 2023, V14B-03, 2023
2023
Real-time Production and Analysis of High-Precision, Deep Magnitude Earthquake Catalogs
F Waldhauser, K Wang, E Beauce, DP Schaff, T Sawi, BK Holtzman
AGU Fall Meeting Abstracts 2023, S53B-08, 2023
2023
Unsupervised Machine Learning for Efficient Seismic Source Discrimination
K Wang, F Waldhauser, T Sawi, E Beauce, BK Holtzman, N Groebner
AGU Fall Meeting Abstracts 2023, S42B-08, 2023
2023
Array-based characterization of glacial seismicity via unsupervised machine-learning
T Sawi, BK Holtzman, E Beauce, F Walter, L Seydoux
AGU Fall Meeting Abstracts 2023 (408), S43F-0408, 2023
2023
Towards deep crustal heat mining for large scale electricity generation: Potentials and (thermo-mechanical) problems
BK Holtzman, T Mittal, HO OGhaffari, U Mok, M Pec, N Groebner, ...
AGU Fall Meeting Abstracts 2023 (861), U31C-0861, 2023
2023
A Semi-Supervised Machine-Learning Approach to Detecting Repeating Earthquakes on the San Andreas Fault
T Sawi, F Waldhauser, BK Holtzman, E Beauce, K Wang, N Groebner
AGU Fall Meeting Abstracts 2022, S43A-04, 2022
2022
Mining a large earthquake catalog at Axial Seamount with unsupervised spectral feature extraction method
K Wang, F Waldhauser, T Sawi, E Beauce, DP Schaff, N Groebner, ...
AGU Fall Meeting Abstracts 2022, V16A-04, 2022
2022
Characterization of seismicity over a range of subglacial slip conditions: laboratory investigation of ice stick-slip acoustic emissions
S Saltiel, C McCarthy, B Holtzman, T Sawi, H Savage
AGU Fall Meeting Abstracts 2021, S55B-0132, 2021
2021
Browser-based Visualization of Seismic Records to Build Seismogram Literacy
J Birnbaum, C Carchedi, M Lee, T Sawi, J Russell
AGU Fall Meeting Abstracts 2021, ED15A-0521, 2021
2021
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