Vote for your favorite mineral in #MinCup25! - Calcite vs. Perovskite
This match of heavy hitters is bound to end in heartbreak as classic calcite faces off against futuristic perovskite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Gowanlock, Michael, Li, Justin D., Rude, Cody M., Pankratius, Victor (2018) Parallel optimization of signal detection in active magnetospheric signal injection experiments. Computers & Geosciences, 114. 107-116 doi:10.1016/j.cageo.2018.01.020

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleParallel optimization of signal detection in active magnetospheric signal injection experiments
JournalComputers & Geosciences
AuthorsGowanlock, MichaelAuthor
Li, Justin D.Author
Rude, Cody M.Author
Pankratius, VictorAuthor
Year2018 (May)Volume114
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2018.01.020Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID455525Long-form Identifiermindat:1:5:455525:8
GUID0
Full ReferenceGowanlock, Michael, Li, Justin D., Rude, Cody M., Pankratius, Victor (2018) Parallel optimization of signal detection in active magnetospheric signal injection experiments. Computers & Geosciences, 114. 107-116 doi:10.1016/j.cageo.2018.01.020
Plain TextGowanlock, Michael, Li, Justin D., Rude, Cody M., Pankratius, Victor (2018) Parallel optimization of signal detection in active magnetospheric signal injection experiments. Computers & Geosciences, 114. 107-116 doi:10.1016/j.cageo.2018.01.020
In(2018) Computers & Geosciences Vol. 114. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Li, Justin D., Rude, Cody M., Blair, David M., Gowanlock, Michael G., Herring, Thomas A., Pankratius, Victor (2016) Computer aided detection of transient inflation events at Alaskan volcanoes using GPS measurements from 2005–2015. Journal of Volcanology and Geothermal Research, 327. 634-642 doi:10.1016/j.jvolgeores.2016.10.003
Rongier, Guillaume, Rude, Cody, Herring, Thomas, Pankratius, Victor (2019) Generative Modeling of InSAR Interferograms. Earth and Space Science, 6 (12). 2671-2683 doi:10.1029/2018ea000533
Cao, Huan, Xu, Bin, Wang, Congyu, Hu, Jun, Wang, Quanfeng, Feng, Jun (2025) Automatic seismic event detection in low signal-to-noise ratio seismic signal based on a deep residual shrinkage network. Computers & Geosciences, 196. doi:10.1016/j.cageo.2025.105868
Canty, Morton J., Nielsen, Allan A. (2012) Linear and kernel methods for multivariate change detection. Computers & Geosciences, 38 (1) 107-114 doi:10.1016/j.cageo.2011.05.012
González, Leonardo D., Zavala, Victor M. (2023) New paradigms for exploiting parallel experiments in Bayesian optimization. Computers & Chemical Engineering, 170. 108110 doi:10.1016/j.compchemeng.2022.108110
Chen, Zeqiang, Chen, Nengcheng, Du, Wenying, Gong, Jianya (2018) An active monitoring method for flood events. Computers & Geosciences, 116. 42-52 doi:10.1016/j.cageo.2018.04.009
Liu, Yecheng; Li, Diquan; Li, Jin; Hu, Yanfang; Liu, Zijie; Zhang, Xian (2025) Controlled-source electromagnetic signal detection using a hybrid deep learning model: Convolutional and long short-term memory neural networks. Computers & Geosciences, 204. doi:10.1016/j.cageo.2025.105986
Ralchenko, M., Svilans, M., Samson, C., Roper, M. (2015) Finite-difference time-domain modelling of through-the-Earth radio signal propagation. Computers & Geosciences, 85. 184-195 doi:10.1016/j.cageo.2015.09.018
Pourfard, Mohammadreza, Abdollahifard, Mohammad J., Faez, Karim, Motamedi, Sayed Ahmad, Hosseinian, Tahmineh (2017) PCTO-SIM: Multiple-point geostatistical modeling using parallel conditional texture optimization. Computers & Geosciences, 102. 116-138 doi:10.1016/j.cageo.2016.12.012
Xie, Jibo (2012) Implementation and performance optimization of a parallel contour line generation algorithm. Computers & Geosciences, 49. 21-28 doi:10.1016/j.cageo.2012.06.011
Addair, T.G., Dodge, D.A., Walter, W.R., Ruppert, S.D. (2014) Large-scale seismic signal analysis with Hadoop. Computers & Geosciences, 66. 145-154 doi:10.1016/j.cageo.2014.01.014
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 4, 2025 16:21:49
Go to top of page