{"id":"https://openalex.org/W4213187122","doi":"https://doi.org/10.3390/rs14040992","title":"Active Fire Detection from Landsat-8 Imagery Using Deep Multiple Kernel Learning","display_name":"Active Fire Detection from Landsat-8 Imagery Using Deep Multiple Kernel Learning","publication_year":2022,"publication_date":"2022-02-17","ids":{"openalex":"https://openalex.org/W4213187122","doi":"https://doi.org/10.3390/rs14040992"},"language":"en","primary_location":{"id":"doi:10.3390/rs14040992","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14040992","pdf_url":"https://www.mdpi.com/2072-4292/14/4/992/pdf?version=1645177347","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/2072-4292/14/4/992/pdf?version=1645177347","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014065755","display_name":"Amirhossein Rostami","orcid":"https://orcid.org/0000-0003-2899-4249"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amirhossein Rostami","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110307317","display_name":"Reza Shah\u2013Hosseini","orcid":"https://orcid.org/0000-0002-7552-5392"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Reza Shah-Hosseini","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104281553","display_name":"Shabnam Asgari","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Shabnam Asgari","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080519280","display_name":"Arastou Zarei","orcid":"https://orcid.org/0000-0002-9763-7440"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Arastou Zarei","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066384183","display_name":"Mohammad Aghdami-Nia","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Aghdami-Nia","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063724972","display_name":"Saeid Homayouni","orcid":"https://orcid.org/0000-0002-0214-5356"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]},{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA","IR"],"is_corresponding":false,"raw_author_name":"Saeid Homayouni","raw_affiliation_strings":["Centre Eau Terre Environnement, 490 rue de la Couronne, Institut National de la Recherche Scientifique, Quebec City, QC G1K 9A9, Canada","School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran"],"affiliations":[{"raw_affiliation_string":"Centre Eau Terre Environnement, 490 rue de la Couronne, Institut National de la Recherche Scientifique, Quebec City, QC G1K 9A9, Canada","institution_ids":["https://openalex.org/I39481719"]},{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5110307317"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":11.5367,"has_fulltext":true,"cited_by_count":78,"citation_normalized_percentile":{"value":0.99362651,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"4","first_page":"992","last_page":"992"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10555","display_name":"Fire effects on ecosystems","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9769999980926514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.681067943572998},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6785233020782471},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6411869525909424},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.5857048034667969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.522234320640564},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4899434447288513},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4516132175922394},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4495203197002411},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.4221963584423065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34813204407691956},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2019565999507904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11857104301452637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681067943572998},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6785233020782471},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6411869525909424},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.5857048034667969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.522234320640564},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4899434447288513},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4516132175922394},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4495203197002411},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4221963584423065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34813204407691956},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2019565999507904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11857104301452637},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs14040992","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14040992","pdf_url":"https://www.mdpi.com/2072-4292/14/4/992/pdf?version=1645177347","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:30e3b98388924e3abfcde386d14f3507","is_oa":true,"landing_page_url":"https://doaj.org/article/30e3b98388924e3abfcde386d14f3507","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 14, Iss 4, p 992 (2022)","raw_type":"article"},{"id":"pmh:oai:espace.inrs.ca:12536","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400579","display_name":"EspaceINRS (National Institute for Scientific Research (Canada))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39481719","host_organization_name":"Institut National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I39481719"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/4/992/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14040992","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/rs14040992","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14040992","pdf_url":"https://www.mdpi.com/2072-4292/14/4/992/pdf?version=1645177347","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/13","score":0.7200000286102295,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4213187122.pdf","grobid_xml":"https://content.openalex.org/works/W4213187122.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W754511852","https://openalex.org/W1533861849","https://openalex.org/W1845853544","https://openalex.org/W1966272358","https://openalex.org/W2012442533","https://openalex.org/W2046404559","https://openalex.org/W2065427498","https://openalex.org/W2080174470","https://openalex.org/W2121296745","https://openalex.org/W2152523941","https://openalex.org/W2158054910","https://openalex.org/W2200518663","https://openalex.org/W2278105594","https://openalex.org/W2295931476","https://openalex.org/W2765974277","https://openalex.org/W2802299786","https://openalex.org/W2884367402","https://openalex.org/W2905300275","https://openalex.org/W2913160612","https://openalex.org/W2954996726","https://openalex.org/W2976816191","https://openalex.org/W2983710279","https://openalex.org/W2988253325","https://openalex.org/W2997604048","https://openalex.org/W2999309192","https://openalex.org/W3002842489","https://openalex.org/W3007268491","https://openalex.org/W3021622360","https://openalex.org/W3041275227","https://openalex.org/W3047944504","https://openalex.org/W3081471890","https://openalex.org/W3083743501","https://openalex.org/W3095287239","https://openalex.org/W3100733145","https://openalex.org/W3119180266","https://openalex.org/W3119886183","https://openalex.org/W3133793930","https://openalex.org/W3157043397","https://openalex.org/W3179604640","https://openalex.org/W3184051344","https://openalex.org/W3194640668","https://openalex.org/W3205439147","https://openalex.org/W3208282496","https://openalex.org/W4200605141","https://openalex.org/W6687741038","https://openalex.org/W6767312631"],"related_works":["https://openalex.org/W3132983279","https://openalex.org/W3135697610","https://openalex.org/W4375867731","https://openalex.org/W2495356367","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Active":[0,147],"fires":[1,290],"are":[2],"devastating":[3],"natural":[4],"disasters":[5,19],"that":[6,202,263],"cause":[7],"socio-economical":[8],"damage":[9],"across":[10],"the":[11,40,63,114,157,162,170,173,203,208,234,247,273,284],"globe.":[12],"The":[13,117,198],"detection":[14,37],"and":[15,25,52,131,165,189,222,227,237,241,294],"mapping":[16,53],"of":[17,161,172,214,231,239,280,291],"these":[18,264],"require":[20],"efficient":[21],"tools,":[22],"scientific":[23],"methods,":[24],"reliable":[26],"observations.":[27],"Satellite":[28],"images":[29],"have":[30,76],"been":[31,89],"widely":[32],"used":[33],"for":[34,93,108,151,184],"active":[35],"fire":[36,269,275],"(AFD)":[38],"during":[39],"past":[41],"years":[42],"due":[43],"to":[44,91,156,168,252],"their":[45],"nearly":[46],"global":[47],"coverage.":[48],"However,":[49],"accurate":[50],"AFD":[51,94,109],"in":[54,62,81,95,110,194,288],"satellite":[55,96],"imagery":[56],"is":[57],"still":[58],"a":[59,101,228],"challenging":[60,297],"task":[61],"remote":[64,82],"sensing":[65,83],"community,":[66],"which":[67],"mainly":[68],"uses":[69],"traditional":[70],"methods.":[71],"Deep":[72],"learning":[73],"(DL)":[74],"methods":[75],"recently":[77],"yielded":[78],"outstanding":[79],"results":[80,200],"applications.":[84],"Nevertheless,":[85],"less":[86],"attention":[87],"has":[88],"given":[90],"them":[92],"imagery.":[97],"This":[98],"study":[99],"presented":[100],"deep":[102],"convolutional":[103],"neural":[104],"network":[105,119,158],"(CNN)":[106],"\u201cMultiScale-Net\u201d":[107],"Landsat-8":[111,249],"datasets":[112],"at":[113],"pixel":[115],"level.":[116],"proposed":[118],"had":[120],"two":[121],"main":[122],"characteristics:":[123],"(1)":[124],"several":[125],"convolution":[126,134],"kernels":[127,213],"with":[128,137,205,246],"multiple":[129,212],"sizes,":[130],"(2)":[132],"dilated":[133],"layers":[135],"(DCLs)":[136],"various":[138],"dilation":[139,187,229],"rates.":[140],"Moreover,":[141],"this":[142],"paper":[143],"suggested":[144],"an":[145,176],"innovative":[146],"Fire":[148],"Index":[149],"(AFI)":[150],"AFD.":[152],"AFI":[153,245],"was":[154],"added":[155],"inputs":[159],"consisting":[160],"SWIR2,":[163],"SWIR1,":[164],"Blue":[166],"bands":[167,250],"improve":[169],"performance":[171],"MultiScale-Net.":[174],"In":[175],"ablation":[177],"analysis,":[178],"three":[179,248],"different":[180],"scenarios":[181],"were":[182],"designed":[183],"multi-size":[185,281],"kernels,":[186],"rates,":[188],"input":[190,209],"variables":[191],"individually,":[192],"resulting":[193],"27":[195],"distinct":[196],"models.":[197],"quantitative":[199],"indicated":[201],"model":[204],"AFI-SWIR2-SWIR1-Blue":[206],"as":[207],"variables,":[210],"using":[211],"sizes":[215,293],"3":[216],"\u00d7":[217,220,224],"3,":[218],"5":[219],"5,":[221],"7":[223,225],"simultaneously,":[226],"rate":[230],"2,":[232],"achieved":[233],"highest":[235],"F1-score":[236],"IoU":[238],"91.62%":[240],"84.54%,":[242],"respectively.":[243],"Stacking":[244],"led":[251],"fewer":[253],"false":[254],"negative":[255],"(FN)":[256],"pixels.":[257],"Furthermore,":[258],"our":[259],"qualitative":[260],"assessment":[261],"revealed":[262],"models":[265],"could":[266],"detect":[267],"single":[268],"pixels":[270],"detached":[271],"from":[272],"large":[274],"zones":[276],"by":[277],"taking":[278],"advantage":[279],"kernels.":[282],"Overall,":[283],"MultiScale-Net":[285],"met":[286],"expectations":[287],"detecting":[289],"varying":[292],"shapes":[295],"over":[296],"test":[298],"samples.":[299]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":11}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
