{"id":"https://openalex.org/W3166476905","doi":"https://doi.org/10.1109/cybconf47073.2019.9436609","title":"Research on Monetary Assessment of Ship Oil Spill Damage with Machine Learning Methods","display_name":"Research on Monetary Assessment of Ship Oil Spill Damage with Machine Learning Methods","publication_year":2019,"publication_date":"2019-07-05","ids":{"openalex":"https://openalex.org/W3166476905","doi":"https://doi.org/10.1109/cybconf47073.2019.9436609","mag":"3166476905"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf47073.2019.9436609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf47073.2019.9436609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th IEEE International Conference on Cybernetics (Cybconf)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085477428","display_name":"Chenhao Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenhao Lu","raw_affiliation_strings":["School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669182","display_name":"Yuan Bian","orcid":"https://orcid.org/0009-0001-0809-4166"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Bian","raw_affiliation_strings":["School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694948","display_name":"Desheng Wu","orcid":"https://orcid.org/0000-0001-6201-9047"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Desheng Wu","raw_affiliation_strings":["School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085477428"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19799204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.847000002861023,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.847000002861023,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.8101000189781189,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/oil-spill","display_name":"Oil spill","score":0.8092460632324219},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7442982196807861},{"id":"https://openalex.org/keywords/shore","display_name":"Shore","score":0.6061162352561951},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5885956287384033},{"id":"https://openalex.org/keywords/marine-engineering","display_name":"Marine engineering","score":0.5739309787750244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5707995891571045},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5485332012176514},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5084065794944763},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.48002830147743225},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44362112879753113},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.41401708126068115},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.40272217988967896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3771694004535675},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3209337592124939},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2277798354625702},{"id":"https://openalex.org/keywords/environmental-engineering","display_name":"Environmental engineering","score":0.15394312143325806},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.11809474229812622},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1051253080368042}],"concepts":[{"id":"https://openalex.org/C2985668151","wikidata":"https://www.wikidata.org/wiki/Q220187","display_name":"Oil spill","level":2,"score":0.8092460632324219},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7442982196807861},{"id":"https://openalex.org/C152382732","wikidata":"https://www.wikidata.org/wiki/Q468756","display_name":"Shore","level":2,"score":0.6061162352561951},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5885956287384033},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.5739309787750244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5707995891571045},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5485332012176514},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5084065794944763},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.48002830147743225},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44362112879753113},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.41401708126068115},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.40272217988967896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3771694004535675},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3209337592124939},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2277798354625702},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.15394312143325806},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.11809474229812622},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1051253080368042},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf47073.2019.9436609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf47073.2019.9436609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th IEEE International Conference on Cybernetics (Cybconf)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1608282063","https://openalex.org/W2049872867","https://openalex.org/W2908843107","https://openalex.org/W2186237018","https://openalex.org/W2066789725","https://openalex.org/W2328585758","https://openalex.org/W2062000240","https://openalex.org/W2197454101","https://openalex.org/W3194121784","https://openalex.org/W2107015874"],"abstract_inverted_index":{"Based":[0],"on":[1],"ship":[2,21],"oil":[3,22,37,40,75],"spill":[4,23,35,76],"accidents":[5],"in":[6,137],"recent":[7],"decades,":[8],"this":[9],"work":[10],"built":[11],"a":[12,65],"rapid":[13],"monetary":[14],"assessment":[15,56],"model":[16,57,95,126],"for":[17,64],"damage":[18],"caused":[19],"by":[20],"accident.":[24],"By":[25],"analyzing":[26],"the":[27,74,101,112,116,123,134,138],"sample":[28],"data,":[29],"five":[30],"types":[31],"of":[32,70,73,115,119],"indicators":[33],"(oil":[34],"volume,":[36],"film":[38],"area,":[39],"product":[41],"proportion,":[42],"shoreline":[43,45],"length,":[44],"type)":[46],"have":[47],"been":[48],"selected":[49],"to":[50,110,132],"establish":[51],"an":[52],"index":[53],"system.":[54],"The":[55,78],"is":[58,108],"established":[59],"with":[60,81],"machine":[61],"learning":[62],"method":[63],"quick":[66],"evaluation":[67],"and":[68,90,98,127],"estimation":[69],"compensation":[71,117],"amount":[72,118],"damage.":[77],"results":[79],"obtained":[80],"BP":[82],"artificial":[83,87],"neural":[84,88],"network,":[85],"RBF":[86],"network":[89],"Support":[91],"Vector":[92],"Machine":[93],"simulation":[94],"are":[96,130],"compared":[97],"analyzed.":[99],"At":[100],"same":[102],"time,":[103],"multiple":[104],"linear":[105],"regression":[106],"analysis":[107],"used":[109],"analyze":[111],"influence":[113],"degree":[114],"each":[120],"index.":[121],"Finally,":[122],"most":[124],"practical":[125],"influencing":[128],"factors":[129],"identified":[131],"support":[133],"realworld":[135],"cases":[136],"future.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}