Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks
| datacite.relatedItem.firstPage | 185 | |
| datacite.relatedItem.issue | 3 | |
| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2220-9964 | |
| datacite.relatedItem.relationType | IsPublishedIn | |
| datacite.relatedItem.title | IJGI | |
| datacite.relatedItem.volume | 11 | |
| dc.contributor.author | Chunlei Mi | |
| dc.contributor.author | Shifen Cheng | |
| dc.contributor.author | Feng Lu | |
| dc.date.accessioned | 2025-05-14T13:41:13Z | |
| dc.date.available | 2025-05-14T13:41:13Z | |
| dc.date.issued | 2022 | |
| dc.identifier.doi | https://doi.org/10.3390/ijgi11030185 | |
| dc.identifier.other | jz000147-0182 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23916 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 550 | |
| dc.title | Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks | |
| dc.type | Article | |
| dcat.distribution.pdf | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23917 | |
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