Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Marien, Lennart Christopher"'
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