{"id":"https://openalex.org/W2990692906","doi":"https://doi.org/10.1007/978-3-030-36204-1_36","title":"Discrimination Model of QAR High-Severity Events Using Machine Learning","display_name":"Discrimination Model of QAR High-Severity Events Using Machine Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2990692906","doi":"https://doi.org/10.1007/978-3-030-36204-1_36","mag":"2990692906"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-36204-1_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-36204-1_36","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5045879173","display_name":"Junchen Li","orcid":"https://orcid.org/0000-0003-0290-5877"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junchen Li","raw_affiliation_strings":["Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103076960","display_name":"Haigang Zhang","orcid":"https://orcid.org/0000-0001-7696-3514"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haigang Zhang","raw_affiliation_strings":["Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, 518055, China"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, 518055, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104077095","display_name":"Jinfeng Yang","orcid":"https://orcid.org/0009-0005-6708-9446"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Yang","raw_affiliation_strings":["Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, 518055, China","Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, 518055, China","institution_ids":["https://openalex.org/I182722699"]},{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045879173"],"corresponding_institution_ids":["https://openalex.org/I28813325"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2756,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60552326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"430","last_page":"441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/takeoff","display_name":"Takeoff","score":0.9057357311248779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7583245038986206},{"id":"https://openalex.org/keywords/airspeed","display_name":"Airspeed","score":0.740484356880188},{"id":"https://openalex.org/keywords/civil-aviation","display_name":"Civil aviation","score":0.5989920496940613},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.49454519152641296},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4881897568702698},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.46265703439712524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44033998250961304},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3480701446533203},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.32223618030548096},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.17551293969154358},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08990496397018433}],"concepts":[{"id":"https://openalex.org/C2777717826","wikidata":"https://www.wikidata.org/wiki/Q854248","display_name":"Takeoff","level":2,"score":0.9057357311248779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7583245038986206},{"id":"https://openalex.org/C26572238","wikidata":"https://www.wikidata.org/wiki/Q1197176","display_name":"Airspeed","level":2,"score":0.740484356880188},{"id":"https://openalex.org/C512918668","wikidata":"https://www.wikidata.org/wiki/Q206814","display_name":"Civil aviation","level":3,"score":0.5989920496940613},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.49454519152641296},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4881897568702698},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.46265703439712524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44033998250961304},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3480701446533203},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.32223618030548096},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.17551293969154358},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08990496397018433},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-36204-1_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-36204-1_36","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W70801722","https://openalex.org/W2006936399","https://openalex.org/W2017337590","https://openalex.org/W2071128523","https://openalex.org/W2087922884","https://openalex.org/W2092687165","https://openalex.org/W2092829070","https://openalex.org/W2118978333","https://openalex.org/W2258333549","https://openalex.org/W2379248810"],"related_works":["https://openalex.org/W2379975046","https://openalex.org/W1587097637","https://openalex.org/W2351766947","https://openalex.org/W4385984321","https://openalex.org/W2378910326","https://openalex.org/W2092183090","https://openalex.org/W2471779853","https://openalex.org/W2885318312","https://openalex.org/W3004397416","https://openalex.org/W2290139984"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}