Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI
Gespeichert in:
| Weitere Verfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2023
Singapore Springer |
| Ausgabe: | 1st ed. 2023 |
| Schriftenreihe: | Communications in Computer and Information Science
1793 |
| Schlagworte: | |
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| Beschreibung: | 1 Online-Ressource (XXXVI, 714 p. 246 illus., 221 illus. in color) |
| ISBN: | 9789819916450 |
| ISSN: | 1865-0937 |
| DOI: | 10.1007/978-981-99-1645-0 |
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| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
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| edition | 1st ed. 2023 |
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| id | DE-604.BV048918534 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:55:11Z |
| indexdate | 2024-08-01T11:00:43Z |
| institution | BVB |
| isbn | 9789819916450 |
| issn | 1865-0937 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034182625 |
| oclc_num | 1378496741 |
| open_access_boolean | |
| owner | DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
| owner_facet | DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
| physical | 1 Online-Ressource (XXXVI, 714 p. 246 illus., 221 illus. in color) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Nature Singapore Springer |
| record_format | marc |
| series2 | Communications in Computer and Information Science |
| spellingShingle | Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI Automated Pattern Recognition Machine Learning Computer Application in Social and Behavioral Sciences Computer Vision Computers and Education Computer and Information Systems Applications Pattern recognition systems Machine learning Social sciences—Data processing Computer vision Education—Data processing Application software |
| title | Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI |
| title_auth | Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI |
| title_exact_search | Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI |
| title_exact_search_txtP | Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI |
| title_full | Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt |
| title_fullStr | Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt |
| title_full_unstemmed | Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt |
| title_short | Neural Information Processing |
| title_sort | neural information processing 29th international conference iconip 2022 virtual event november 22 26 2022 proceedings part vi |
| title_sub | 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI |
| topic | Automated Pattern Recognition Machine Learning Computer Application in Social and Behavioral Sciences Computer Vision Computers and Education Computer and Information Systems Applications Pattern recognition systems Machine learning Social sciences—Data processing Computer vision Education—Data processing Application software |
| topic_facet | Automated Pattern Recognition Machine Learning Computer Application in Social and Behavioral Sciences Computer Vision Computers and Education Computer and Information Systems Applications Pattern recognition systems Machine learning Social sciences—Data processing Computer vision Education—Data processing Application software |
| url | https://doi.org/10.1007/978-981-99-1645-0 |
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