Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Michaelis, Patrick"'
Publikováno v:
Journal of Computational and Graphical Statistics, 2018 Sep 01. 27(3), 602-611.
Externí odkaz:
https://www.jstor.org/stable/45136584
Publikováno v:
Stat. 2020, Vol. 9 Issue 1, p1-15. 15p.
Autor:
Bouwer, Laurens M., Dransch, Doris, Ruhnke, Roland, Rechid, Diana, Frickenhaus, Stephan, Greinert, Jens, zu Castell, Wolfgang, Brix, Holger, Dietrich, Peter, Petzold, Andreas, Henkel, Daniela, Avalos, Evarardo Gonzales, Abraham, Nicola, Buck, Valentin, Eggert, Daniel, Wichert, Victoria, Kwasnitschka, Tom, Rabe, Daniela, Stäbler, Flemming, Marien, Lennart Christopher, Callies, Ulrich, Matthias, Volker, Michaelis, Patrick, Scharun, Christian, Valizadeh, Mahyar, Vlasenko, Andrej, Kalbacher, Thomas, Lüdtke, Stefan, Merz, Bruno, Nam, Christine, Nixdorf, Erik, Schröter, Kai, Tiedje, Bente, Wendi, Dadiyorto, Ködel, Uta, Fischer, Philipp, Bundke, Ulrich, Burwicz-Galerne, Ewa, Haas, Antonie, Herrarte, Isabel, Haroon, Amir, Jegen, Marion, Kennenrt, Marcel, Korf, Tobias, Kunkel, Ralf, Kwok, Ching Yin, Mahnke, Christoph, Paasche, Hendrik, Rohs, Susanne, Wagner, Robert, Walter, Andreas, Fuchs, Nike, Krause, Gesche, Fritzsch, Bernadette, Köckeritz, Werner
Publikováno v:
EPIC3Integrating Data Science and Earth Science, Cham, Switzerland, Springer, 148 p., ISBN: 978-3-030-99545-4, ISSN: 2191-589X
This open access book presents the results of three years collaboration between earth scientists and data scientists, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______999::4742d6cbbd614f72e84d7edee1788cc6
https://hdl.handle.net/10013/epic.7df32d44-382a-428c-90eb-232578355681
https://hdl.handle.net/10013/epic.7df32d44-382a-428c-90eb-232578355681
Autor:
Wichert, Viktoria, Bouwer, Laurens M., Abraham, Nicola, Brix, Holger, Callies, Ulrich, González Ávalos, Everardo, Marien, Lennart Christopher, Matthias, Volker, Michaelis, Patrick, Rabe, Daniela, Rechid, Diana, Ruhnke, Roland, Scharun, Christian, Valizadeh, Mahyar, Vlasenko, Andrey, zu Castell, Wolfgang
Publikováno v:
Wichert, V.; Bouwer, L.; Abraham, N.; Brix, H.; Callies, U.; González Ávalos, E.; Marien, L.; Matthias, V.; Michaelis, P.; Rabe, D.; Rechid, D.; Ruhnke, R.; Scharun, C.; Valizadeh, M.; Vlasenko, A.; zu Castell, W.: Data Analysis and Exploration with Computational Approaches. In: Bouwer, L.M.; Dransch, D.; Ruhnke, R.; Rechid, D.; Frickenhaus, S.; Greinert, J. (ed.): Integrating Data Science and Earth Science : Challenges and Solutions. Cham: Springer, 2022. 29-53. (DOI: /10.1007/978-3-030-99546-1_4) (ISBN: 978-3-030-99545-4)
Integrating Data Science and Earth Science ISBN: 9783030995454
Integrating Data Science and Earth Science ISBN: 9783030995454
Artificial intelligence and machine learning (ML) methods are increasingly applied in Earth system research, for improving data analysis, and model performance, and eventually system understanding. In the Digital Earth project, several ML approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d19a89739ee95a0cc12927cb07fe66f6
Autor:
Michaelis, Patrick1 p.michaelis@me.com
Publikováno v:
Critical Care Nurse. Feb2019, Vol. 39 Issue 1, p15-25. 11p. 2 Color Photographs, 4 Diagrams, 1 Chart.
Publikováno v:
Sociological Focus, 2007 Feb 01. 40(1), 48-71.
Externí odkaz:
https://www.jstor.org/stable/20832316
Akademický článek
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Autor:
Lauvset, Siv Kari, Lange, Nico, Tanhua, Toste, Bittig, Henry C., Olsen, Are, Kozyr, Alex, Alvarez, Marta, Becker, Susan, Brown, Pete, Carter, Brendan R., Da Cunha, Leticia Cotrim, Feely, Richard A, van Heuven, Steven, Hoppema, Mario, Ishii, Masao, Jeansson, Emil, Jutterström, Sara, Jones, Stephen Daniel, Karlsen, Maren Kjos, Monaco, Claire Lo, Michaelis, Patrick, Murata, Akihiko, Perez, Fiz F, Pfeil, Gerrit Benjamin, Schirnick, Carsten, Steinfeldt, Reiner, Suzuki, Toru, Tilbrook, Bronte, Velo, Antón, Wanninkhof, Rik, Woosley, Ryan J., Key, Robert M.
Externí odkaz:
https://hdl.handle.net/11250/2985409
Autor:
Frey, Torsten, Kampmeier, Mareike, Michaelis, Patrick, Wehner, Daniel, Seidel, Marc, Greinert, Jens
During UXO survey and clearance campaigns, a large number of false positive target points drive costs and efforts. This paper presents three approaches for the improvement of maritime UXO surveys that allow for the immediate execution of target point
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2386::6007e65e53626395469c83ec99802fb3
https://oceanrep.geomar.de/id/eprint/55572/
https://oceanrep.geomar.de/id/eprint/55572/