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001     972053
005     20240708110147.0
024 7 _ |2 DOI
|a 10.5194/egusphere-egu23-4851
024 7 _ |2 datacite_doi
|a 10.18154/RWTH-CONV-251635
037 _ _ |a RWTH-CONV-251635
041 _ _ |a English
100 1 _ |a Satyam, Neelima
|b 0
|e Corresponding author
111 2 _ |a EGU General Assembly 2023
|c Vienna
|d 2023-04-23 - 2023-04-28
|g EGU 2023
|w Austria
245 _ _ |a Resolution of data, type of inventory and data splitting in machine learning based landslide susceptibility mapping
|h online
260 _ _ |a Göttingen
|b Copernicus Gesellschaft mbH
|c 2023
295 1 0 |a Abstracts & presentations / EGU General Assembly 2023
300 _ _ |a EGU23-4851
336 7 _ |0 33
|2 EndNote
|a Conference Paper
336 7 _ |0 PUB:(DE-HGF)1
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|a Abstract
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|m abstract
336 7 _ |0 PUB:(DE-HGF)8
|2 PUB:(DE-HGF)
|a Contribution to a conference proceedings
336 7 _ |2 BibTeX
|a INPROCEEDINGS
336 7 _ |2 DRIVER
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336 7 _ |2 DataCite
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336 7 _ |2 ORCID
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500 _ _ |a Hybride Konferenz
591 _ _ |a Germany
700 1 _ |0 P:(DE-82)972249
|a Abraham, Minu Treesa
|b 1
|e Corresponding author
|u rwth
700 1 _ |a Gupta, Kunal
|b 2
|e Corresponding author
856 4 _ |u https://egusphere.net/conferences/EGU23/index.html
|y Homepage of book
856 4 _ |u https://publications.rwth-aachen.de/record/972053/files/972053.pdf
|y OpenAccess
909 C O |o oai:publications.rwth-aachen.de:972053
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910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)972249
|a RWTH Aachen
|b 1
|k RWTH
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
915 _ _ |0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
|a Creative Commons Attribution CC BY 4.0
920 1 _ |0 I:(DE-82)422410_20210811
|k 422410
|l Lehrstuhl für Methoden der Modellbasierten Entwicklung in den Computergestützten Ingenieurwissenschaften
|x 0
970 _ _ |a Satyam2023-RWTHp
980 1 _ |a FullTexts
980 _ _ |a I:(DE-82)422410_20210811
980 _ _ |a UNRESTRICTED
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980 _ _ |a abstract
980 _ _ |a contrib


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