{"id":"https://openalex.org/W4399717492","doi":"https://doi.org/10.12694/scpe.v25i4.2832","title":"Complex Event Information Mining and Processing for Massive Aerospace Big Data","display_name":"Complex Event Information Mining and Processing for Massive Aerospace Big Data","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4399717492","doi":"https://doi.org/10.12694/scpe.v25i4.2832"},"language":"en","primary_location":{"id":"doi:10.12694/scpe.v25i4.2832","is_oa":true,"landing_page_url":"https://doi.org/10.12694/scpe.v25i4.2832","pdf_url":"https://www.scpe.org/index.php/scpe/article/download/2832/1080","source":{"id":"https://openalex.org/S2764391171","display_name":"Scalable Computing Practice and Experience","issn_l":"1895-1767","issn":["1895-1767"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scalable Computing: Practice and Experience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.scpe.org/index.php/scpe/article/download/2832/1080","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011971882","display_name":"Li Lin","orcid":"https://orcid.org/0000-0002-7753-2270"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Zhengzhou University of Aeronautics, Zhengzhou, Henan 450000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Aeronautics, Zhengzhou, Henan 450000, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108093590","display_name":"Libin Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libin Jia","raw_affiliation_strings":["Zhengzhou University of Aeronautics, Zhengzhou, Henan 450000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Aeronautics, Zhengzhou, Henan 450000, China","institution_ids":["https://openalex.org/I192868223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I192868223"],"apc_list":null,"apc_paid":null,"fwci":0.2715,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50115812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"25","issue":"4","first_page":"2540","last_page":"2547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.745199978351593,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.745199978351593,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.7178000211715698,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.6973000168800354,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7405116558074951},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6263231039047241},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5447304248809814},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5205739140510559},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4913915693759918},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.46208545565605164},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4577220678329468},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4112023115158081},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37961262464523315},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11182263493537903},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08682191371917725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7405116558074951},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6263231039047241},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5447304248809814},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5205739140510559},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4913915693759918},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.46208545565605164},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4577220678329468},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4112023115158081},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37961262464523315},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11182263493537903},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08682191371917725},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.12694/scpe.v25i4.2832","is_oa":true,"landing_page_url":"https://doi.org/10.12694/scpe.v25i4.2832","pdf_url":"https://www.scpe.org/index.php/scpe/article/download/2832/1080","source":{"id":"https://openalex.org/S2764391171","display_name":"Scalable Computing Practice and Experience","issn_l":"1895-1767","issn":["1895-1767"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scalable Computing: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.12694/scpe.v25i4.2832","is_oa":true,"landing_page_url":"https://doi.org/10.12694/scpe.v25i4.2832","pdf_url":"https://www.scpe.org/index.php/scpe/article/download/2832/1080","source":{"id":"https://openalex.org/S2764391171","display_name":"Scalable Computing Practice and Experience","issn_l":"1895-1767","issn":["1895-1767"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scalable Computing: Practice and Experience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399717492.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W3006705642","https://openalex.org/W3025926153","https://openalex.org/W3027299578","https://openalex.org/W3032628389","https://openalex.org/W3048064159","https://openalex.org/W3082988137","https://openalex.org/W3093439928","https://openalex.org/W3120419852","https://openalex.org/W3174134520","https://openalex.org/W3174329573","https://openalex.org/W3195503518","https://openalex.org/W4252537540","https://openalex.org/W4281660018"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"This":[0],"paper":[1],"intends":[2],"to":[3,43,73,85],"analyze":[4],"the":[5,13,45,97,109,113,124],"existing":[6],"problems":[7],"of":[8,15,48,59,67,100,117],"remote":[9,17,34,49,101,118,137],"sensing":[10,18,35,50,102,119,138],"data":[11,20,23,51,132],"from":[12],"perspectives":[14],"space":[16,33,92,136],"information":[19,36,103,139],"capacity":[21],"and":[22,31,56,82],"types.":[24],"Then,":[25,39],"a":[26,64],"framework":[27],"for":[28,135],"rapidly":[29],"analyzing":[30],"processing":[32],"is":[37,41,71,80,104,126],"constructed.":[38],"LSTM":[40,62,77],"used":[42],"realize":[44],"fault":[46],"diagnosis":[47],"continuity,":[52],"discrete":[53],"sample":[54,60],"mixing":[55],"strong":[57],"correlation":[58],"variation.":[61],"conducts":[63],"multimodal":[65],"analysis":[66],"remote-control":[68],"commands,":[69],"which":[70],"applied":[72],"modeling.":[74],"The":[75],"multi-stage":[76],"prediction":[78],"model":[79],"established":[81],"integrated":[83],"efficiently":[84],"improve":[86,112],"its":[87],"adaptive":[88],"ability":[89],"in":[90],"complex":[91],"environments.":[93],"In":[94],"this":[95],"way,":[96],"anomaly":[98,114],"recognition":[99],"realized.":[105],"Experiments":[106,121],"show":[107,122],"that":[108,123],"algorithm":[110,125],"can":[111,129],"detection":[115],"rate":[116],"data.":[120],"feasible.":[127],"It":[128],"provide":[130],"reliable":[131],"interpretation":[133],"function":[134],"control":[140],"system.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
