{"id":"https://openalex.org/W4386284148","doi":"https://doi.org/10.3390/rs15174250","title":"A Novel Physics-Statistical Coupled Paradigm for Retrieving Integrated Water Vapor Content Based on Artificial Intelligence","display_name":"A Novel Physics-Statistical Coupled Paradigm for Retrieving Integrated Water Vapor Content Based on Artificial Intelligence","publication_year":2023,"publication_date":"2023-08-30","ids":{"openalex":"https://openalex.org/W4386284148","doi":"https://doi.org/10.3390/rs15174250"},"language":"en","primary_location":{"id":"doi:10.3390/rs15174250","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174250","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4250/pdf?version=1693365074","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/17/4250/pdf?version=1693365074","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112990606","display_name":"Ruyu Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyu Mei","raw_affiliation_strings":["Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250100, China"],"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250100, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088157563","display_name":"Kebiao Mao","orcid":"https://orcid.org/0000-0002-1288-8428"},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]},{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kebiao Mao","raw_affiliation_strings":["Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","School of Physics and Electronic-Engineering, Ningxia University, Yinchuan 750021, China"],"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"School of Physics and Electronic-Engineering, Ningxia University, Yinchuan 750021, China","institution_ids":["https://openalex.org/I21642278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006636279","display_name":"Jiancheng Shi","orcid":"https://orcid.org/0000-0002-6163-2912"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Shi","raw_affiliation_strings":["National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210115570","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091300503","display_name":"Jeffrey Nielson","orcid":null},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Nielson","raw_affiliation_strings":["Department of Watershed Sciences, Utah State University, Logan, UT 84322, USA"],"affiliations":[{"raw_affiliation_string":"Department of Watershed Sciences, Utah State University, Logan, UT 84322, USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033592648","display_name":"Sayed M. Bateni","orcid":"https://orcid.org/0000-0002-7134-0067"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sayed M. Bateni","raw_affiliation_strings":["Department of Civil and Environmental Engineering and Water Resources Research Center, University of Hawaii at Manoa, Honolulu, HI 96822, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering and Water Resources Research Center, University of Hawaii at Manoa, Honolulu, HI 96822, USA","institution_ids":["https://openalex.org/I117965899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100608836","display_name":"Fei Meng","orcid":"https://orcid.org/0000-0003-0192-3870"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Meng","raw_affiliation_strings":["School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250100, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250100, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067789681","display_name":"Guoming Du","orcid":"https://orcid.org/0009-0004-7028-8852"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoming Du","raw_affiliation_strings":["School of Public Administration and Law, Northeast Agricultural University, Harbin 150006, China"],"affiliations":[{"raw_affiliation_string":"School of Public Administration and Law, Northeast Agricultural University, Harbin 150006, China","institution_ids":["https://openalex.org/I169572211"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5088157563"],"corresponding_institution_ids":["https://openalex.org/I21642278","https://openalex.org/I4210108914","https://openalex.org/I4210138501"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.2193,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54326975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"15","issue":"17","first_page":"4250","last_page":"4250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.6914379596710205},{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.6226164102554321},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4393864870071411},{"id":"https://openalex.org/keywords/water-vapor","display_name":"Water vapor","score":0.42631903290748596},{"id":"https://openalex.org/keywords/radiative-transfer","display_name":"Radiative transfer","score":0.41540849208831787},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3745257258415222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3584609627723694},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.19152048230171204},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11163762211799622}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6914379596710205},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.6226164102554321},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4393864870071411},{"id":"https://openalex.org/C147534773","wikidata":"https://www.wikidata.org/wiki/Q190120","display_name":"Water vapor","level":2,"score":0.42631903290748596},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.41540849208831787},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3745257258415222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3584609627723694},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.19152048230171204},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11163762211799622},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15174250","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174250","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4250/pdf?version=1693365074","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:36b899ba077749a5a9afa6192490e8b6","is_oa":true,"landing_page_url":"https://doaj.org/article/36b899ba077749a5a9afa6192490e8b6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 17, p 4250 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/17/4250/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15174250","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":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15174250","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174250","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4250/pdf?version=1693365074","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.8299999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316092","display_name":"Science and Technology Department of Ningxia","ror":null},{"id":"https://openalex.org/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386284148.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1642133311","https://openalex.org/W1923787548","https://openalex.org/W1963717283","https://openalex.org/W1968316034","https://openalex.org/W1976087358","https://openalex.org/W1976088495","https://openalex.org/W1991814216","https://openalex.org/W2010568645","https://openalex.org/W2022254680","https://openalex.org/W2022837936","https://openalex.org/W2024192068","https://openalex.org/W2024689500","https://openalex.org/W2045488359","https://openalex.org/W2056433084","https://openalex.org/W2057746737","https://openalex.org/W2059529679","https://openalex.org/W2071416426","https://openalex.org/W2071983165","https://openalex.org/W2072463188","https://openalex.org/W2077605528","https://openalex.org/W2092065588","https://openalex.org/W2093171000","https://openalex.org/W2106119568","https://openalex.org/W2107795096","https://openalex.org/W2112662635","https://openalex.org/W2113771104","https://openalex.org/W2114916821","https://openalex.org/W2116888634","https://openalex.org/W2135192704","https://openalex.org/W2135800711","https://openalex.org/W2140095899","https://openalex.org/W2140449910","https://openalex.org/W2143754063","https://openalex.org/W2149112844","https://openalex.org/W2151508773","https://openalex.org/W2168958616","https://openalex.org/W2174616381","https://openalex.org/W2261246222","https://openalex.org/W2292335805","https://openalex.org/W2607261860","https://openalex.org/W2728926704","https://openalex.org/W2730087402","https://openalex.org/W2740411227","https://openalex.org/W2908922069","https://openalex.org/W2912174551","https://openalex.org/W2955301595","https://openalex.org/W3025949386","https://openalex.org/W3036045166","https://openalex.org/W3080165814","https://openalex.org/W3126378085","https://openalex.org/W3197325378","https://openalex.org/W4226528306","https://openalex.org/W6668532802","https://openalex.org/W6779458105"],"related_works":["https://openalex.org/W107105315","https://openalex.org/W4388155270","https://openalex.org/W1584537303","https://openalex.org/W1872724644","https://openalex.org/W2750549761","https://openalex.org/W28826848","https://openalex.org/W2122272819","https://openalex.org/W4367156293","https://openalex.org/W2130894091","https://openalex.org/W2994151208"],"abstract_inverted_index":{"Retrieval":[0],"of":[1,15,33,51,62,83,96,109,154,162,167,170,175,181,223,242,270,328,352,354,357],"integrated":[2,247],"water":[3,248],"vapor":[4,249],"content":[5,250],"(WVC)":[6],"from":[7,53,187,198],"remote":[8,56],"sensing":[9,57],"data":[10,161,200,217],"is":[11,88,117,121,138,165,340],"often":[12],"ill-posed":[13],"because":[14],"insufficient":[16],"observational":[17],"information.":[18],"There":[19],"are":[20],"many":[21,34],"factors":[22],"that":[23,72,89,207,230,302,325],"cause":[24],"WVC":[25,52,273,307],"changes,":[26],"which":[27,201,339],"yield":[28],"instability":[29],"in":[30,112,308],"the":[31,48,60,63,78,90,97,150,155,182,188,193,205,208,227,239,246,252,266,271,309,322,326,345,350],"accuracy":[32,153,279],"traditional":[35,346],"algorithms.":[36],"To":[37],"overcome":[38],"this":[39],"problem,":[40],"we":[41,68,142],"developed":[42],"a":[43,106,122,139,287,341],"novel":[44],"fully-coupled":[45],"paradigm":[46,82,224,327],"for":[47,77,204,220],"robust":[49],"retrieval":[50,81,313],"thermal":[54,232],"infrared":[55,233],"data.":[58],"Through":[59],"derivation":[61],"physical":[64,171,183,189,209,355],"radiative":[65],"transfer":[66],"equation,":[67],"determined":[69],"two":[70,300],"conditions":[71],"need":[73,100,143],"to":[74,101,104,144,148,306],"be":[75,102,133,316],"satisfied":[76],"deep":[79,98,163,243,329,358],"learning":[80,99,164,244,330],"WVC.":[84],"The":[85,114,157,178,277],"first":[86],"condition":[87,116],"input":[91,126,240,291],"parameters":[92,95,127,241,292],"and":[93,128,152,159,173,192,226,245,259,293,333,348],"output":[94,129,253,294],"able":[103],"build":[105],"complete":[107],"set":[108],"solvable":[110],"equations":[111],"theory.":[113],"second":[115],"that,":[118],"if":[119,297],"there":[120,285,298],"strong":[123,288],"relationship":[124],"between":[125,290],"parameters,":[130,295],"it":[131,137],"can":[132,202,335],"directly":[134],"retrieved.":[135],"If":[136],"weak":[140],"relationship,":[141],"use":[145],"prior":[146,264,319],"knowledge":[147],"improve":[149],"portability":[151],"algorithm.":[156],"training":[158],"test":[160],"composed":[166],"representative":[168,179],"solutions":[169,174,180,195],"methods":[172,184],"statistical":[176,194],"methods.":[177],"were":[185,196,235,261,299,303],"obtained":[186,197],"forward":[190],"model,":[191],"multi-source":[199],"compensate":[203],"defect":[206],"model":[210],"cannot":[211],"simulate":[212],"mixed":[213],"pixels.":[214],"MODIS":[215],"L1B":[216],"was":[218,274,281,286],"used":[219],"case":[221],"analysis":[222,228],"retrieval,":[225],"indicated":[229],"four":[231],"bands":[234,301],"usually":[236],"needed":[237],"as":[238,251,263],"parameter.":[254],"When":[255,284],"land":[256],"surface":[257],"temperature":[258],"emissivity":[260],"taken":[262],"knowledge,":[265],"root-mean-square":[267],"error":[268],"(RMSE)":[269],"retrieved":[272],"0.07":[275],"g/cm2.":[276,283],"optimal":[278],"RMSE":[280],"0.27":[282],"correlation":[289],"i.e.,":[296],"very":[304],"sensitive":[305],"band":[310],"combination,":[311],"high-precision":[312],"could":[314],"also":[315],"achieved":[317],"without":[318],"knowledge.":[320],"All":[321],"analyses":[323],"show":[324],"coupling":[331],"physics":[332],"statistics":[334],"accurately":[336],"retrieve":[337],"WVC,":[338],"significant":[342],"improvement":[343],"on":[344],"method":[347],"solves":[349],"problem":[351],"lack":[353],"interpretation":[356],"learning.":[359]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}