guest ::
| 001 | 1003237 | ||
| 005 | 20260402100556.0 | ||
| 024 | 7 | _ | |2 ISSN |a 3029-0414 |
| 024 | 7 | _ | |2 ISSN |a 3029-0422 |
| 024 | 7 | _ | |2 doi |a 10.1108/MLAG-08-2024-0006 |
| 037 | _ | _ | |a RWTH-2025-00935 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-82)IDM03830 |a Naghizadehrokni, Mehran |b 0 |e Corresponding author |
| 245 | _ | _ | |a Prediction of efficiency of the filled-trench in layered soil through artificial neural network |h online |
| 260 | _ | _ | |a Leeds, England |b Emerald Publishing Limited |c 2025 |
| 336 | 7 | _ | |0 0 |2 EndNote |a Journal Article |
| 336 | 7 | _ | |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |a Journal Article |b journal |m journal |
| 336 | 7 | _ | |2 BibTeX |a ARTICLE |
| 336 | 7 | _ | |2 DRIVER |a article |
| 336 | 7 | _ | |2 DataCite |a Output Types/Journal article |
| 336 | 7 | _ | |2 ORCID |a JOURNAL_ARTICLE |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: publications.rwth-aachen.de |
| 591 | _ | _ | |a Germany |
| 773 | _ | _ | |0 PERI:(DE-600)3206280-1 |a 10.1108/MLAG-08-2024-0006 |n 1 |p 35-45 |t Machine learning and data science in geotechnics |v 1 |x 3029-0422 |y 2025 |
| 914 | 1 | _ | |y 2025 |
| 915 | 1 | _ | |0 StatID:(DE-HGF)0031 |2 StatID |a Peer reviewed article |x 0 |
| 980 | 1 | _ | |a EXTERN4VITA |
| 980 | _ | _ | |a I:(DE-82)314310_20140620 |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a journal |
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