{"id":"https://openalex.org/W4401357919","doi":"https://doi.org/10.1109/jstars.2024.3439022","title":"Sea Surface Temperature Prediction Method Based on Deep Generative Adversarial Network","display_name":"Sea Surface Temperature Prediction Method Based on Deep Generative Adversarial Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401357919","doi":"https://doi.org/10.1109/jstars.2024.3439022"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3439022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3439022","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2024.3439022","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115595049","display_name":"Jia Wang","orcid":"https://orcid.org/0000-0002-2330-8505"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Wang","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024379887","display_name":"Gang Zheng","orcid":"https://orcid.org/0000-0001-8507-7880"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"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"]},{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]},{"id":"https://openalex.org/I4210109544","display_name":"Second Institute of Oceanography","ror":"https://ror.org/01tkb7c15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109544"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Zheng","raw_affiliation_strings":["State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China","Ocean College, Zhejiang University, Zhoushan, China","College of Oceanography, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8507-7880","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210109544"]},{"raw_affiliation_string":"Ocean College, Zhejiang University, Zhoushan, China","institution_ids":["https://openalex.org/I31847773","https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Oceanography, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053249843","display_name":"Jiali Yu","orcid":"https://orcid.org/0000-0002-5895-0805"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiali Yu","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5895-0805","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079963758","display_name":"Jinliang Shao","orcid":"https://orcid.org/0000-0002-2508-7451"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinliang Shao","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","Research Center on Crowd Spectrum Intelligence, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2508-7451","affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Research Center on Crowd Spectrum Intelligence, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041053258","display_name":"Yinfei Zhou","orcid":"https://orcid.org/0000-0001-9552-1906"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210109544","display_name":"Second Institute of Oceanography","ror":"https://ror.org/01tkb7c15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109544"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinfei Zhou","raw_affiliation_strings":["State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210109544"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.6555,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65796151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"14704","last_page":"14711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.957099974155426,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.9300295114517212},{"id":"https://openalex.org/keywords/sea-surface-temperature","display_name":"Sea surface temperature","score":0.8351532220840454},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.741737961769104},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.6414315700531006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5854675769805908},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5658180117607117},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.49123018980026245},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4849157929420471},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45963460206985474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42716872692108154},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.41730350255966187},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.41310322284698486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40571269392967224},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.27355635166168213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26228994131088257},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16872820258140564},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11847278475761414},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10803720355033875},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.0727231502532959}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.9300295114517212},{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.8351532220840454},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.741737961769104},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.6414315700531006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5854675769805908},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5658180117607117},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.49123018980026245},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4849157929420471},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45963460206985474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42716872692108154},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.41730350255966187},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.41310322284698486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40571269392967224},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.27355635166168213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26228994131088257},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16872820258140564},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11847278475761414},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10803720355033875},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0727231502532959},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3439022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3439022","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3f0cf37188e24b57a1aa66d25fcb7161","is_oa":true,"landing_page_url":"https://doaj.org/article/3f0cf37188e24b57a1aa66d25fcb7161","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14704-14711 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3439022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3439022","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G1742167500","display_name":null,"funder_award_id":"XRJH2304","funder_id":"https://openalex.org/F4320310282","funder_display_name":"Ministry of Natural Resources"},{"id":"https://openalex.org/G1894333541","display_name":null,"funder_award_id":"42306216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310282","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02ntv3742"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2009687803","https://openalex.org/W2028360973","https://openalex.org/W2032202258","https://openalex.org/W2064675550","https://openalex.org/W2125389028","https://openalex.org/W2316226477","https://openalex.org/W2593414223","https://openalex.org/W2616571113","https://openalex.org/W2755060080","https://openalex.org/W2778580105","https://openalex.org/W2795350985","https://openalex.org/W2958098628","https://openalex.org/W2962848907","https://openalex.org/W2963073614","https://openalex.org/W2963709863","https://openalex.org/W2963800363","https://openalex.org/W2964182391","https://openalex.org/W2964303162","https://openalex.org/W2991327923","https://openalex.org/W2998230808","https://openalex.org/W3042493930","https://openalex.org/W3213997984","https://openalex.org/W6726983635","https://openalex.org/W6729767818","https://openalex.org/W6741832134","https://openalex.org/W6765577116","https://openalex.org/W6773195646"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2057775761","https://openalex.org/W1608433645","https://openalex.org/W2964074194"],"abstract_inverted_index":{"Sea":[0],"surface":[1,27,46,55,79,92,101,200],"temperature":[2,201],"(SST)":[3],"prediction":[4,24,197],"plays":[5],"an":[6],"important":[7,16],"role":[8],"in":[9,195],"ocean-related":[10],"fields.":[11],"Therefore,":[12],"it":[13,206],"is":[14,69,142,182,202,207],"increasingly":[15],"to":[17,20,71,86,110,144,184],"be":[18],"able":[19,183],"make":[21],"more":[22,73,112,186],"accurate":[23],"of":[25,44,52,61,76,90,98,108,193,198],"sea":[26,45,54,78,91,100,199],"temperature.":[28],"In":[29,123],"this":[30],"paper,":[31],"we":[32,125],"develop":[33],"a":[34,49,62,65,175],"Deep":[35],"generative":[36,211],"adversarial":[37],"network":[38],"(DGAN)":[39],"for":[40],"generating":[41],"future":[42,77,99],"maps":[43,75,97],"temperatures,":[47,80],"providing":[48],"visual":[50,188],"method":[51],"predicting":[53],"temperatures.":[56,102],"Our":[57],"DGAN":[58,181,194],"model":[59,213],"consists":[60],"generator":[63,68,163],"and":[64,94,115,119,130,134,153,164,179,205,214],"discriminator.":[66],"The":[67,103,162],"designed":[70],"produce":[72,185],"realistic":[74],"which":[81],"uses":[82,105],"multiple":[83],"composite":[84],"layers":[85],"capture":[87],"the":[88,106,127,139,154,170,180,191,196,210,215],"changes":[89],"temperatures":[93],"generates":[95],"clear":[96],"discriminator":[104,165],"structure":[107],"patchGAN":[109],"obtain":[111,136],"SST":[113,121],"features,":[114],"distinguishes":[116],"between":[117],"real":[118],"generated":[120],"maps.":[122],"addition,":[124],"improve":[126],"loss":[128,140],"function":[129,141],"perform":[131],"convergence":[132],"analysis,":[133],"then":[135],"that":[137],"minimizing":[138,145],"equivalent":[143],"Pearson":[146],"<inline-formula":[147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[149],"notation=\"LaTeX\">$\\chi":[150],"2$</tex-math></inline-formula>":[151],"divergence,":[152],"relevant":[155],"explanations":[156],"are":[157,166],"carried":[158],"out":[159],"through":[160],"experiments.":[161],"training":[167,171],"adversarially":[168],"during":[169],"stage,":[172],"eventually":[173],"reaching":[174],"relatively":[176],"balanced":[177],"state,":[178],"reliable":[187],"predictions.":[189],"Finally,":[190],"effectiveness":[192],"verified":[203],"experimentally,":[204],"compared":[208],"with":[209],"model-DL":[212],"LSTM-GAN":[216],"model.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}