Lynne Burks
Lynne Burks
Seismic Data Scientist at One Concern
Verifierad e-postadress på oneconcern.com - Startsida
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A predictive model for fling-step in near-fault ground motions based on recordings and simulations
LS Burks, JW Baker
Soil Dynamics and Earthquake Engineering 80, 119-126, 2016
422016
Validation of Ground‐Motion Simulations through Simple Proxies for the Response of Engineered SystemsValidation of Ground‐Motion Simulations through Simple Proxies for the …
LS Burks, JW Baker
Bulletin of the Seismological Society of America 104 (4), 1930-1946, 2014
392014
Rapid estimate of ground shaking intensity by combining simple earthquake characteristics with tweets
L Burks, M Miller, R Zadeh
10th US Nat. Conf. Earthquake Eng., Front. Earthquake Eng., Anchorage, AK …, 2014
342014
Ground motion selection for simulation‐based seismic hazard and structural reliability assessment
BA Bradley, LS Burks, JW Baker
Earthquake Engineering & Structural Dynamics 44 (13), 2321-2340, 2015
302015
Evaluation of hybrid broadband ground motion simulations for response history analysis and design
LS Burks, RB Zimmerman, JW Baker
Earthquake Spectra 31 (3), 1691-1710, 2015
222015
Fling in near-fault ground motions and its effect on structural collapse capacity
LS Burks, JW Baker
Tenth US National Conference on Earthquake Engineering Frontiers of …, 2014
162014
Occurrence of negative epsilon in seismic hazard analysis deaggregation, and its impact on target spectra computation
LS Burks, JW Baker
Earthquake engineering & structural dynamics 41 (8), 1241-1256, 2012
82012
Ground motion simulations: Validation and application for civil engineering problems
LS Burks
Stanford University, 2014
42014
Bitcoin Address Classification.
LS Burks, AE Cox, K Lakkaraju, MJ Boyd, E Chan
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
22017
Conditioning multi-model ensembles for disease forecasting.
J Ray, KR Cauthen, S Lefantzi, L Burks
Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2019
2019
Detecting P-waves in Streaming Seismic Data Using a Hidden Markov Model (HMM)
L Burks, J Ray
AGU Fall Meeting 2018, 2018
2018
Detecting Seismic Events Using Ensembles of Features
R Forrest, L Burks
AGUFM 2018, S53E-0464, 2018
2018
Detecting P-waves in Streaming Seismic Data Using a Hidden Markov Model (HMM)
J Ray, L Burks
AGUFM 2018, S53E-0463, 2018
2018
Pentachart: Detecting Seismic Events Using a Supervised Hidden Markov Model (HMM).
LS Burks
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2018
2018
Detecting Seismic Events Using a Supervised Hidden Markov Model (HMM).
LS Burks, R Brogan, S Lefantzi
Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2018
2018
The Rocket Test Case Study.
BW Heimer, JC Reinhardt, LS Burks
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
2018
Detecting Seismic Events Using a Supervised Hidden Markov Model
L Burks, R Forrest, J Ray, C Young
AGUFM 2017, S43A-0827, 2017
2017
Dynamic Model Averaging for Disease Forecasting.
KR Cauthen, J Ray, S Lefantzi, LS Burks, J Lee
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
2017
National Hurricane Program Hurricane Evacuation Study Tool End-User Engagement and Usability Analysis.
PM Pacheco, LS Burks, CJ John, TH Miller, NP Teclemariam
Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2016
2016
Hurricane Evacuation Study (HES) Process Requirements.
LS Burks, PM Pacheco, TH Miller
Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2016
2016
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Artiklar 1–20