{"id":"https://openalex.org/W3096979810","doi":"https://doi.org/10.1155/2020/8860225","title":"On Time-Series InSAR by SA-SVR Algorithm: Prediction and Analysis of Mining Subsidence","display_name":"On Time-Series InSAR by SA-SVR Algorithm: Prediction and Analysis of Mining Subsidence","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3096979810","doi":"https://doi.org/10.1155/2020/8860225","mag":"3096979810"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8860225","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8860225","pdf_url":"https://downloads.hindawi.com/journals/js/2020/8860225.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2020/8860225.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107970112","display_name":"Yun Shi","orcid":"https://orcid.org/0000-0002-7017-1505"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Shi","raw_affiliation_strings":["Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi\u2019an, Shaanxi 710021, China","School of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an, Shaanxi 710054, China"],"raw_orcid":"https://orcid.org/0000-0002-7017-1505","affiliations":[{"raw_affiliation_string":"Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi\u2019an, Shaanxi 710021, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an, Shaanxi 710054, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089987904","display_name":"Qianwen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianwen Li","raw_affiliation_strings":["Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi\u2019an, Shaanxi 710021, China","School of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an, Shaanxi 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi\u2019an, Shaanxi 710021, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an, Shaanxi 710054, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059100494","display_name":"Xin Meng","orcid":"https://orcid.org/0000-0003-0318-8363"},"institutions":[{"id":"https://openalex.org/I4210149087","display_name":"Xi'an Railway Survey and Design Institute","ror":"https://ror.org/04emf4852","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210149087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Meng","raw_affiliation_strings":["Xi\u2019an Research Institute of Surveying and Mapping, Xi\u2019an 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Research Institute of Surveying and Mapping, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I4210149087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089932338","display_name":"Tongkang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongkang Zhang","raw_affiliation_strings":["Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi\u2019an, Shaanxi 710021, China","School of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an, Shaanxi 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi\u2019an, Shaanxi 710021, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an, Shaanxi 710054, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089770884","display_name":"Jingjian Shi","orcid":"https://orcid.org/0000-0002-5230-2209"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjian Shi","raw_affiliation_strings":["Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi\u2019an, Shaanxi 710021, China","School of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an, Shaanxi 710054, China"],"raw_orcid":"https://orcid.org/0000-0002-5230-2209","affiliations":[{"raw_affiliation_string":"Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi\u2019an, Shaanxi 710021, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an, Shaanxi 710054, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089770884"],"corresponding_institution_ids":["https://openalex.org/I110440473","https://openalex.org/I211433327"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":13.0426,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.98095723,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10161","display_name":"Rock Mechanics and Modeling","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.978600025177002,"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/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.8492720127105713},{"id":"https://openalex.org/keywords/subsidence","display_name":"Subsidence","score":0.6125708818435669},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5589007139205933},{"id":"https://openalex.org/keywords/gnss-augmentation","display_name":"GNSS augmentation","score":0.5532361268997192},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5182254314422607},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5168157815933228},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.504463791847229},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4553246796131134},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4504479169845581},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4300297796726227},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.4281456172466278},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.41622674465179443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37950053811073303},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.3152178227901459},{"id":"https://openalex.org/keywords/structural-basin","display_name":"Structural basin","score":0.2956621050834656},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2926103174686432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2234852910041809},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21116110682487488},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.15188449621200562},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.107296884059906}],"concepts":[{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.8492720127105713},{"id":"https://openalex.org/C180851071","wikidata":"https://www.wikidata.org/wiki/Q849953","display_name":"Subsidence","level":3,"score":0.6125708818435669},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5589007139205933},{"id":"https://openalex.org/C166212672","wikidata":"https://www.wikidata.org/wiki/Q2165162","display_name":"GNSS augmentation","level":4,"score":0.5532361268997192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5182254314422607},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5168157815933228},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.504463791847229},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4553246796131134},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4504479169845581},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4300297796726227},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.4281456172466278},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.41622674465179443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37950053811073303},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.3152178227901459},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.2956621050834656},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2926103174686432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2234852910041809},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21116110682487488},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.15188449621200562},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.107296884059906},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2020/8860225","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8860225","pdf_url":"https://downloads.hindawi.com/journals/js/2020/8860225.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f1873f76b413490baec920275d7a102f","is_oa":false,"landing_page_url":"https://doaj.org/article/f1873f76b413490baec920275d7a102f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/8860225","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8860225","pdf_url":"https://downloads.hindawi.com/journals/js/2020/8860225.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G6068209289","display_name":"\u4e58\u6027\u968f\u673a\u8bef\u5dee\u6a21\u578b\u7684\u7c97\u5dee\u5254\u9664\uff0c\u7a33\u5065\u4e0e\u9644\u6709\u7ea6\u675f\u7684\u4f30\u8ba1\u7406\u8bba\u7814\u7a76","funder_award_id":"41674013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6595190735","display_name":"\u79e9\u4e8fEIV\u6a21\u578b\u5e73\u5dee\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41874012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3096979810.pdf","grobid_xml":"https://content.openalex.org/works/W3096979810.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1123741481","https://openalex.org/W1964357740","https://openalex.org/W1997275345","https://openalex.org/W2003128404","https://openalex.org/W2030401264","https://openalex.org/W2050638137","https://openalex.org/W2054141425","https://openalex.org/W2056760934","https://openalex.org/W2093172313","https://openalex.org/W2117902710","https://openalex.org/W2151040995","https://openalex.org/W2152657318","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2159592313","https://openalex.org/W2350904455","https://openalex.org/W2370235765","https://openalex.org/W2373092637","https://openalex.org/W2585039702","https://openalex.org/W2997819979","https://openalex.org/W2999686805","https://openalex.org/W3183441446","https://openalex.org/W4244652876"],"related_works":["https://openalex.org/W4242918400","https://openalex.org/W4285613571","https://openalex.org/W3138360503","https://openalex.org/W4396241171","https://openalex.org/W4402731282","https://openalex.org/W4322099661","https://openalex.org/W2973112112","https://openalex.org/W4390277479","https://openalex.org/W2382105855","https://openalex.org/W3206958763"],"abstract_inverted_index":{"Given":[0],"the":[1,11,18,29,77,79,89,109,124,148,153,161,180,189,201],"increasingly":[2],"serious":[3],"geological":[4],"disasters":[5],"caused":[6],"by":[7],"underground":[8],"mining":[9,13,22,46,139],"in":[10,15,63,66,73],"Hancheng":[12],"area":[14,47],"China":[16],"and":[17,71,88,108,152,198],"existing":[19],"problems":[20],"with":[21,101,147,167],"subsidence":[23,83,92,140,195],"prediction":[24,133,143,166,183,191,196],"models,":[25],"this":[26,45],"article":[27],"uses":[28],"small":[30],"baseline":[31],"subset":[32],"interferometric":[33],"synthetic":[34],"aperture":[35],"radar":[36],"(SBAS-InSAR)":[37],"technology":[38],"to":[39,51,122],"process":[40],"109":[41],"Sentinel-1A":[42],"images":[43],"of":[44,68,127,150,160,163,179,203],"from":[48],"December":[49],"2015":[50],"February":[52],"2020.":[53],"The":[54,96,142,157,185],"results":[55,98,144,149,186],"show":[56],"that":[57,177,188],"there":[58],"are":[59,99,145],"three":[60],"subsidences:":[61],"one":[62,65,72],"Donganshang,":[64],"south":[67],"Zhuyuan":[69],"village,":[70],"Shandizhaizi":[74],"village.":[75],"In":[76],"basin,":[78],"maximum":[80,90],"annual":[81],"average":[82],"rate":[84],"is":[85,93,112,120,136,170,173],"300":[86],"mm/a,":[87],"cumulative":[91],"1000":[94],"mm.":[95],"SBAS-InSAR":[97],"compared":[100,146],"Global":[102],"Positioning":[103],"System":[104],"(GPS)":[105],"observation":[106],"results,":[107],"correlation":[110],"coefficient":[111,162],"74%.":[113],"Finally,":[114],"a":[115,128],"simulated":[116],"annealing":[117],"(SA)":[118],"algorithm":[119],"used":[121],"estimate":[123],"optimal":[125],"parameters":[126],"support":[129],"vector":[130],"regression":[131],"(SVR)":[132],"model,":[134],"which":[135,172],"applied":[137],"for":[138,165],"prediction.":[141],"SVR":[151],"GM":[154],"(1,":[155],"1).":[156],"minimum":[158],"value":[159],"determination":[164],"SA-SVR":[168],"model":[169,192],"0.57,":[171],"significantly":[174],"better":[175],"than":[176],"those":[178],"other":[181],"two":[182],"methods.":[184],"indicate":[187],"proposed":[190],"offers":[193],"high":[194],"accuracy":[197],"fully":[199],"meets":[200],"requirements":[202],"engineering":[204],"applications.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
