{"id":"https://openalex.org/W3037923631","doi":"https://doi.org/10.3390/s20123580","title":"A Multiscale Spatio-Temporal Convolutional Deep Belief Network for Sensor Fault Detection of Wind Turbine","display_name":"A Multiscale Spatio-Temporal Convolutional Deep Belief Network for Sensor Fault Detection of Wind Turbine","publication_year":2020,"publication_date":"2020-06-24","ids":{"openalex":"https://openalex.org/W3037923631","doi":"https://doi.org/10.3390/s20123580","mag":"3037923631","pmid":"https://pubmed.ncbi.nlm.nih.gov/32599907"},"language":"en","primary_location":{"id":"doi:10.3390/s20123580","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20123580","pdf_url":"https://www.mdpi.com/1424-8220/20/12/3580/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/12/3580/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101580706","display_name":"Wang Hong","orcid":"https://orcid.org/0000-0002-2146-546X"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":"https://orcid.org/0000-0002-2146-546X","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143913299","display_name":"Hongbin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongbin Wang","raw_affiliation_strings":["School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143942238","display_name":"Guoqian Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqian Jiang","raw_affiliation_strings":["School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332094","display_name":"Hongbin Wang","orcid":"https://orcid.org/0000-0003-0668-5621"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueling Wang","raw_affiliation_strings":["School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003953815","display_name":"Shuang Ren","orcid":"https://orcid.org/0000-0003-4065-4933"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Ren","raw_affiliation_strings":["China Academy of Information and Communication Institute, Beijing 100089, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Information and Communication Institute, Beijing 100089, China","institution_ids":["https://openalex.org/I4210130112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5143913299"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.8139,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.69550938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"12","first_page":"3580","last_page":"3580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9970999956130981,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9569000005722046,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scada","display_name":"SCADA","score":0.8852560520172119},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6952147483825684},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.6759802103042603},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.640935480594635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6168188452720642},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5812501907348633},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5531401634216309},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49230659008026123},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4386734068393707},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4192752242088318},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41576844453811646},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.4143507480621338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4128708839416504},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4095908999443054},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29285120964050293},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.11293244361877441}],"concepts":[{"id":"https://openalex.org/C113863187","wikidata":"https://www.wikidata.org/wiki/Q17498","display_name":"SCADA","level":2,"score":0.8852560520172119},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6952147483825684},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6759802103042603},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.640935480594635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6168188452720642},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5812501907348633},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5531401634216309},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49230659008026123},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4386734068393707},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4192752242088318},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41576844453811646},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.4143507480621338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4128708839416504},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4095908999443054},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29285120964050293},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.11293244361877441},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20123580","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20123580","pdf_url":"https://www.mdpi.com/1424-8220/20/12/3580/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32599907","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32599907","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:07e2176c79cc4f13a3f8b8a9dbcf3858","is_oa":true,"landing_page_url":"https://doaj.org/article/07e2176c79cc4f13a3f8b8a9dbcf3858","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 12, p 3580 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/12/3580/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20123580","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7349861","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7349861","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20123580","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20123580","pdf_url":"https://www.mdpi.com/1424-8220/20/12/3580/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1696950150","display_name":null,"funder_award_id":"61803329","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4198220842","display_name":null,"funder_award_id":"19214306D","funder_id":"https://openalex.org/F4320328876","funder_display_name":"Hebei Provincial Key Research Projects"},{"id":"https://openalex.org/G4777759884","display_name":null,"funder_award_id":"F2016203496, F2018203413","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G4860711063","display_name":null,"funder_award_id":"F2018203413","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G7011199468","display_name":null,"funder_award_id":"F2016203496","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G7185497739","display_name":null,"funder_award_id":"2018M640247","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8474236578","display_name":null,"funder_award_id":"2018M640247","funder_id":"https://openalex.org/F4320328876","funder_display_name":"Hebei Provincial Key Research Projects"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328876","display_name":"Hebei Provincial Key Research Projects","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3037923631.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1605077306","https://openalex.org/W1971014294","https://openalex.org/W2014935852","https://openalex.org/W2024027437","https://openalex.org/W2030219727","https://openalex.org/W2044883611","https://openalex.org/W2062129495","https://openalex.org/W2077784300","https://openalex.org/W2097117768","https://openalex.org/W2110000683","https://openalex.org/W2113307062","https://openalex.org/W2116064496","https://openalex.org/W2159010568","https://openalex.org/W2163922914","https://openalex.org/W2279016391","https://openalex.org/W2285130932","https://openalex.org/W2292254049","https://openalex.org/W2415081361","https://openalex.org/W2513938116","https://openalex.org/W2523553285","https://openalex.org/W2607335761","https://openalex.org/W2731836491","https://openalex.org/W2744604411","https://openalex.org/W2746111230","https://openalex.org/W2753174481","https://openalex.org/W2761148314","https://openalex.org/W2770842357","https://openalex.org/W2770991286","https://openalex.org/W2771285237","https://openalex.org/W2790437618","https://openalex.org/W2791325935","https://openalex.org/W2802203651","https://openalex.org/W2808496542","https://openalex.org/W2810292802","https://openalex.org/W2888477829","https://openalex.org/W2899924860","https://openalex.org/W2903710299","https://openalex.org/W2908578648","https://openalex.org/W2913245940","https://openalex.org/W2940740645","https://openalex.org/W2997700007","https://openalex.org/W6665785932","https://openalex.org/W6761570223"],"related_works":["https://openalex.org/W2615977515","https://openalex.org/W3214712242","https://openalex.org/W2542556245","https://openalex.org/W3204461065","https://openalex.org/W1965417009","https://openalex.org/W2018320994","https://openalex.org/W2460685830","https://openalex.org/W2738547440","https://openalex.org/W3033558281","https://openalex.org/W2741863531"],"abstract_inverted_index":{"Sensor":[0],"fault":[1,36,75,84,121,197],"detection":[2,37,76,85,198],"of":[3,17,27,42,48,126,151,170],"wind":[4,29,73,88,174],"turbines":[5],"plays":[6],"an":[7],"important":[8],"role":[9],"in":[10,70,98],"improving":[11],"the":[12,40,43,46,71,94,119,127,137,148,182,190,196],"reliability":[13],"and":[14,22,45,115],"stable":[15],"operation":[16],"turbines.":[18],"The":[19,185],"supervisory":[20],"control":[21],"data":[23,44,53],"acquisition":[24],"(SCADA)":[25],"system":[26],"a":[28,81,101],"turbine":[30,74,89,175],"provides":[31],"promising":[32],"insights":[33],"into":[34],"sensor":[35,49,120],"due":[38],"to":[39,111,117,180],"accessibility":[41],"abundance":[47],"information.":[50],"However,":[51],"SCADA":[52,99],"are":[54],"essentially":[55],"multivariate":[56],"time":[57],"series":[58],"with":[59,157],"inherent":[60],"spatio-temporal":[61,95,103],"correlation":[62,139],"characteristics,":[63],"which":[64],"has":[65],"not":[66,134],"been":[67],"well":[68],"considered":[69],"existing":[72],"research.":[77],"This":[78],"paper":[79],"proposes":[80],"novel":[82],"classification-based":[83],"method":[86,129,156,192],"for":[87],"sensors.":[90],"To":[91],"better":[92],"capture":[93,147],"characteristics":[96,150,164],"hidden":[97],"data,":[100],"multiscale":[102,158],"convolutional":[104],"deep":[105],"belief":[106],"network":[107],"(MSTCDBN)":[108],"was":[109,178],"developed":[110],"perform":[112],"feature":[113],"learning":[114,159],"classification":[116],"fulfill":[118],"detection.":[122],"A":[123,172],"major":[124],"superiority":[125],"proposed":[128,183,191],"is":[130],"that":[131,189],"it":[132],"can":[133,161,193],"only":[135],"learn":[136],"spatial":[138],"information":[140],"between":[141,165],"several":[142],"different":[143,168],"variables":[144,166],"but":[145],"also":[146],"temporal":[149],"each":[152],"variable.":[153],"Furthermore,":[154],"this":[155],"capability":[160],"excavate":[162],"interactive":[163],"at":[167],"scales":[169],"filters.":[171],"generic":[173],"benchmark":[176],"model":[177],"used":[179],"evaluate":[181],"approach.":[184],"comparative":[186],"results":[187],"demonstrate":[188],"significantly":[194],"enhance":[195],"performance.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}