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 |
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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 |
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920 | 1 | _ | |0 I:(DE-82)422410_20210811 |k 422410 |l Lehrstuhl für Methoden der Modellbasierten Entwicklung in den Computergestützten Ingenieurwissenschaften |x 0 |
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