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000972053 0247_ $$2DOI$$a10.5194/egusphere-egu23-4851
000972053 0247_ $$2datacite_doi$$a10.18154/RWTH-CONV-251635
000972053 037__ $$aRWTH-CONV-251635
000972053 041__ $$aEnglish
000972053 1001_ $$aSatyam, Neelima$$b0$$eCorresponding author
000972053 1112_ $$aEGU General Assembly 2023$$cVienna$$d2023-04-23 - 2023-04-28$$gEGU 2023$$wAustria
000972053 245__ $$aResolution of data, type of inventory and data splitting in machine learning based landslide susceptibility mapping$$honline
000972053 260__ $$aGöttingen$$bCopernicus Gesellschaft mbH$$c2023
000972053 29510 $$aAbstracts & presentations / EGU General Assembly 2023
000972053 300__ $$aEGU23-4851
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000972053 7001_ $$0P:(DE-82)972249$$aAbraham, Minu Treesa$$b1$$eCorresponding author$$urwth
000972053 7001_ $$aGupta, Kunal$$b2$$eCorresponding author
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000972053 9201_ $$0I:(DE-82)422410_20210811$$k422410$$lLehrstuhl für Methoden der Modellbasierten Entwicklung in den Computergestützten Ingenieurwissenschaften$$x0
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