Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways:
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2023
Singapore Springer |
| Edition: | 1st ed. 2023 |
| Series: | Advances in High-speed Rail Technology
|
| Subjects: | |
| Online Access: | BTU01 FAB01 FAW01 FCO01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBY01 UER01 Volltext |
| Physical Description: | 1 Online-Ressource (XIII, 239 p. 212 illus., 149 illus. in color) |
| ISBN: | 9789819909537 |
| ISSN: | 2363-5029 |
| DOI: | 10.1007/978-981-99-0953-7 |
Staff View
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV048918803 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 230502s2023 |||| o||u| ||||||eng d | ||
| 020 | |a 9789819909537 |c Online |9 978-981-9909-53-7 | ||
| 024 | 7 | |a 10.1007/978-981-99-0953-7 |2 doi | |
| 035 | |a (ZDB-2-ENG)9789819909537 | ||
| 035 | |a (OCoLC)1378496497 | ||
| 035 | |a (DE-599)BVBBV048918803 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1043 |a DE-860 |a DE-91 |a DE-858 |a DE-1046 |a DE-Aug4 |a DE-898 |a DE-861 |a DE-523 |a DE-859 |a DE-29 |a DE-863 |a DE-1050 |a DE-862 |a DE-92 |a DE-573 |a DE-M347 |a DE-706 |a DE-634 | ||
| 082 | 0 | |a 625 |2 23 | |
| 084 | |a ELT 000 |2 stub | ||
| 084 | |a MAS 000 |2 stub | ||
| 100 | 1 | |a Liu, Zhigang |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways |c by Zhigang Liu, Wenqiang Liu, Junping Zhong |
| 250 | |a 1st ed. 2023 | ||
| 264 | 1 | |a Singapore |b Springer Nature Singapore |c 2023 | |
| 264 | 1 | |a Singapore |b Springer | |
| 300 | |a 1 Online-Ressource (XIII, 239 p. 212 illus., 149 illus. in color) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Advances in High-speed Rail Technology |x 2363-5029 | |
| 650 | 4 | |a Rail Vehicles | |
| 650 | 4 | |a Machine Learning | |
| 650 | 4 | |a Signal, Speech and Image Processing | |
| 650 | 4 | |a Data Analysis and Big Data | |
| 650 | 4 | |a Transportation Technology and Traffic Engineering | |
| 650 | 4 | |a Artificial Intelligence | |
| 650 | 4 | |a Railroad engineering | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Signal processing | |
| 650 | 4 | |a Quantitative research | |
| 650 | 4 | |a Transportation engineering | |
| 650 | 4 | |a Traffic engineering | |
| 650 | 4 | |a Artificial intelligence | |
| 700 | 1 | |a Liu, Wenqiang |4 aut | |
| 700 | 1 | |a Zhong, Junping |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-981-9909-52-0 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-981-9909-54-4 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-981-9909-55-1 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-981-99-0953-7 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-ENG | ||
| 940 | 1 | |q ZDB-2-ENG_2023 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034182894 | ||
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l BTU01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FAB01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FAW01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FCO01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FHA01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FHD01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FHI01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FHM01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FHN01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FHR01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FKE01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FLA01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FRO01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FWS01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l FWS02 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l HTW01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l TUM01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l UBY01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-981-99-0953-7 |l UER01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
Record in the Search Index
| DE-BY-FWS_katkey | 1039137 |
|---|---|
| _version_ | 1824553685487714306 |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Liu, Zhigang Liu, Wenqiang Zhong, Junping |
| author_facet | Liu, Zhigang Liu, Wenqiang Zhong, Junping |
| author_role | aut aut aut |
| author_sort | Liu, Zhigang |
| author_variant | z l zl w l wl j z jz |
| building | Verbundindex |
| bvnumber | BV048918803 |
| classification_tum | ELT 000 MAS 000 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)9789819909537 (OCoLC)1378496497 (DE-599)BVBBV048918803 |
| dewey-full | 625 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 625 - Engineering of railroads and roads |
| dewey-raw | 625 |
| dewey-search | 625 |
| dewey-sort | 3625 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik Verkehr / Transport Maschinenbau |
| discipline_str_mv | Elektrotechnik Verkehr / Transport Maschinenbau |
| doi_str_mv | 10.1007/978-981-99-0953-7 |
| edition | 1st ed. 2023 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04077nmm a2200829zcb4500</leader><controlfield tag="001">BV048918803</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230502s2023 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789819909537</subfield><subfield code="c">Online</subfield><subfield code="9">978-981-9909-53-7</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-981-99-0953-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)9789819909537</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1378496497</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048918803</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1043</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-858</subfield><subfield code="a">DE-1046</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">625</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ELT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAS 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Liu, Zhigang</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways</subfield><subfield code="c">by Zhigang Liu, Wenqiang Liu, Junping Zhong</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2023</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">Springer Nature Singapore</subfield><subfield code="c">2023</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">Springer</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIII, 239 p. 212 illus., 149 illus. in color)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Advances in High-speed Rail Technology</subfield><subfield code="x">2363-5029</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Rail Vehicles</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Signal, Speech and Image Processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Analysis and Big Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Transportation Technology and Traffic Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Railroad engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Signal processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Quantitative research</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Transportation engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Traffic engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Wenqiang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhong, Junping</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-981-9909-52-0</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-981-9909-54-4</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-981-9909-55-1</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-ENG_2023</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034182894</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FAB01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FCO01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FHA01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FHD01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FHM01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FKE01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FRO01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">HTW01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-981-99-0953-7</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048918803 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:55:12Z |
| indexdate | 2025-02-20T06:39:48Z |
| institution | BVB |
| isbn | 9789819909537 |
| issn | 2363-5029 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034182894 |
| oclc_num | 1378496497 |
| open_access_boolean | |
| owner | DE-1043 DE-860 DE-91 DE-BY-TUM DE-858 DE-1046 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-29 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706 DE-634 |
| owner_facet | DE-1043 DE-860 DE-91 DE-BY-TUM DE-858 DE-1046 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-29 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706 DE-634 |
| physical | 1 Online-Ressource (XIII, 239 p. 212 illus., 149 illus. in color) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Nature Singapore Springer |
| record_format | marc |
| series2 | Advances in High-speed Rail Technology |
| spellingShingle | Liu, Zhigang Liu, Wenqiang Zhong, Junping Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways Rail Vehicles Machine Learning Signal, Speech and Image Processing Data Analysis and Big Data Transportation Technology and Traffic Engineering Artificial Intelligence Railroad engineering Machine learning Signal processing Quantitative research Transportation engineering Traffic engineering Artificial intelligence |
| title | Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways |
| title_auth | Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways |
| title_exact_search | Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways |
| title_exact_search_txtP | Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways |
| title_full | Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways by Zhigang Liu, Wenqiang Liu, Junping Zhong |
| title_fullStr | Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways by Zhigang Liu, Wenqiang Liu, Junping Zhong |
| title_full_unstemmed | Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways by Zhigang Liu, Wenqiang Liu, Junping Zhong |
| title_short | Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways |
| title_sort | deep learning based detection of catenary support component defect and fault in high speed railways |
| topic | Rail Vehicles Machine Learning Signal, Speech and Image Processing Data Analysis and Big Data Transportation Technology and Traffic Engineering Artificial Intelligence Railroad engineering Machine learning Signal processing Quantitative research Transportation engineering Traffic engineering Artificial intelligence |
| topic_facet | Rail Vehicles Machine Learning Signal, Speech and Image Processing Data Analysis and Big Data Transportation Technology and Traffic Engineering Artificial Intelligence Railroad engineering Machine learning Signal processing Quantitative research Transportation engineering Traffic engineering Artificial intelligence |
| url | https://doi.org/10.1007/978-981-99-0953-7 |
| work_keys_str_mv | AT liuzhigang deeplearningbaseddetectionofcatenarysupportcomponentdefectandfaultinhighspeedrailways AT liuwenqiang deeplearningbaseddetectionofcatenarysupportcomponentdefectandfaultinhighspeedrailways AT zhongjunping deeplearningbaseddetectionofcatenarysupportcomponentdefectandfaultinhighspeedrailways |