{"_buckets": {"deposit": "58f1c9c6-15d5-4b85-a1fa-e6d8a912149a"}, "_deposit": {"created_by": 10, "id": "6497", "owners": [10], "pid": {"revision_id": 0, "type": "depid", "value": "6497"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00006497", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2023", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "42", "bibliographicPageStart": "34", "bibliographic_titles": [{"bibliographic_title": "GeoAI@SIGSPATIAL", "bibliographic_titleLang": "en"}]}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.1145/3615886.3627739"}}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Keiichi Ochiai", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Masayuki Terada", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Hiroaki Sano", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Makoto Hanashima", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Yuichiro Usuda", "creatorNameLang": "en"}]}]}, "item_title": "Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations.", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations.", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "10", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/6497", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2024-04-22"}, "publish_date": "2024-04-22", "publish_status": "0", "recid": "6497", "relation": {}, "relation_version_is_last": true, "title": ["Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations."], "weko_shared_id": -1}
Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations.
https://nied-repo.bosai.go.jp/records/6497
https://nied-repo.bosai.go.jp/records/6497