{"id":"https://openalex.org/W3211222926","doi":"https://doi.org/10.1109/access.2021.3122112","title":"A Principal Component Analysis-Boosted Dynamic Gaussian Mixture Clustering Model for Ignition Factors of Brazil\u2019s Rainforests","display_name":"A Principal Component Analysis-Boosted Dynamic Gaussian Mixture Clustering Model for Ignition Factors of Brazil\u2019s Rainforests","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3211222926","doi":"https://doi.org/10.1109/access.2021.3122112","mag":"3211222926"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3122112","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3122112","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","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/access.2021.3122112","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102715037","display_name":"Maofa Wang","orcid":"https://orcid.org/0000-0001-6517-4042"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maofa Wang","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, China","Guangxi Key Laboratory of Trusted Software Guilin, University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0001-6517-4042","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I5343935"]},{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software Guilin, University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066080168","display_name":"Guangda Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangda Gao","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences (Beijing), Beijing 100000, China","School of Information Engineering, China University of Geosciences, (Beijing), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences (Beijing), Beijing 100000, China","institution_ids":["https://openalex.org/I3125743391"]},{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences, (Beijing), Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088568857","display_name":"Hongliang Huang","orcid":"https://orcid.org/0000-0002-5819-8633"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Huang","raw_affiliation_strings":["School of Public Foundation and Applied Statistics, Zhuhai College of Jilin University, Zhuhai 519041, China","School of Public Foundation and Applied Statistics, Zhuhai College of Jilin University, Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0002-5819-8633","affiliations":[{"raw_affiliation_string":"School of Public Foundation and Applied Statistics, Zhuhai College of Jilin University, Zhuhai 519041, China","institution_ids":["https://openalex.org/I12615008"]},{"raw_affiliation_string":"School of Public Foundation and Applied Statistics, Zhuhai College of Jilin University, Zhuhai, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028441474","display_name":"Ali Asghar Heidari","orcid":"https://orcid.org/0000-0001-6938-9948"},"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":"Ali Asghar Heidari","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran","School of Surveying and Geospatial Eng., College of Eng., University of Tehran, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0001-6938-9948","affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"School of Surveying and Geospatial Eng., College of Eng., University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401565","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-5984-8506"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]},{"id":"https://openalex.org/I4400573270","display_name":"Wenzhou University of Technology","ror":"https://ror.org/03dd7qj98","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Wenzhou University of Technology, Wenzhou 325035, China","School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wenzhou University of Technology, Wenzhou 325035, China","institution_ids":["https://openalex.org/I146620803","https://openalex.org/I4400573270"]},{"raw_affiliation_string":"School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, China","institution_ids":["https://openalex.org/I146620803","https://openalex.org/I4400573270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648348","display_name":"Huiling Chen","orcid":"https://orcid.org/0000-0002-7714-9693"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiling Chen","raw_affiliation_strings":["College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou 325035, China. (e-mail: chenhuiling.jlu@gmail.com)","College of Computer Science and Artificial Intelligence, Wenzhou University,Wenzhou,China"],"raw_orcid":"https://orcid.org/0000-0002-7714-9693","affiliations":[{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou 325035, China. (e-mail: chenhuiling.jlu@gmail.com)","institution_ids":["https://openalex.org/I146620803"]},{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University,Wenzhou,China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029355300","display_name":"Weiyu Tang","orcid":"https://orcid.org/0000-0003-0145-7064"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyu Tang","raw_affiliation_strings":["School of Computer, Zhuhai College of Jilin University, Zhuhai 519041, China"],"raw_orcid":"https://orcid.org/0000-0003-0145-7064","affiliations":[{"raw_affiliation_string":"School of Computer, Zhuhai College of Jilin University, Zhuhai 519041, China","institution_ids":["https://openalex.org/I4210165204","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102715037"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3382,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.60734016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"145748","last_page":"145762"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.9987999796867371,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9855999946594238,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9205999970436096,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/principal-component-analysis","display_name":"Principal component analysis","score":0.8225179314613342},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5711743235588074},{"id":"https://openalex.org/keywords/ignition-system","display_name":"Ignition system","score":0.5123718976974487},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5036758780479431},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4656001031398773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4501856565475464},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.41230276226997375},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3360413908958435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2792791724205017},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1381276547908783}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8225179314613342},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5711743235588074},{"id":"https://openalex.org/C159063594","wikidata":"https://www.wikidata.org/wiki/Q248382","display_name":"Ignition system","level":2,"score":0.5123718976974487},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5036758780479431},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4656001031398773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4501856565475464},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.41230276226997375},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3360413908958435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2792791724205017},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1381276547908783},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3122112","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3122112","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f01f2152fceb4b5ca30c1e69c5e1844e","is_oa":true,"landing_page_url":"https://doaj.org/article/f01f2152fceb4b5ca30c1e69c5e1844e","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 Access, Vol 9, Pp 145748-145762 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3122112","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3122112","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4806734318","display_name":null,"funder_award_id":"41504037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W134816460","https://openalex.org/W1486632395","https://openalex.org/W1546503963","https://openalex.org/W1977556410","https://openalex.org/W1978732192","https://openalex.org/W1985358399","https://openalex.org/W1987716414","https://openalex.org/W2001742722","https://openalex.org/W2014740640","https://openalex.org/W2017522944","https://openalex.org/W2025653905","https://openalex.org/W2049633694","https://openalex.org/W2052593055","https://openalex.org/W2056724844","https://openalex.org/W2057964179","https://openalex.org/W2059067804","https://openalex.org/W2066505785","https://openalex.org/W2068927564","https://openalex.org/W2071128523","https://openalex.org/W2076992570","https://openalex.org/W2090764910","https://openalex.org/W2097994901","https://openalex.org/W2128728535","https://openalex.org/W2132147894","https://openalex.org/W2146121024","https://openalex.org/W2168761168","https://openalex.org/W2193194994","https://openalex.org/W2294798173","https://openalex.org/W2319012276","https://openalex.org/W2361505161","https://openalex.org/W2481676029","https://openalex.org/W2582636227","https://openalex.org/W2604617846","https://openalex.org/W2613791403","https://openalex.org/W2774794747","https://openalex.org/W2790581077","https://openalex.org/W2790718085","https://openalex.org/W2791204149","https://openalex.org/W2792332175","https://openalex.org/W2792946129","https://openalex.org/W2916818512","https://openalex.org/W2917222343","https://openalex.org/W2919979744","https://openalex.org/W2942564125","https://openalex.org/W2966080578","https://openalex.org/W2975524970","https://openalex.org/W2990999233","https://openalex.org/W2998637917","https://openalex.org/W3003128551","https://openalex.org/W3005031658","https://openalex.org/W3011417748","https://openalex.org/W3014048112","https://openalex.org/W3014974411","https://openalex.org/W3016180924","https://openalex.org/W3025826476","https://openalex.org/W3031915118","https://openalex.org/W3037622870","https://openalex.org/W3050895951","https://openalex.org/W3051048098","https://openalex.org/W3082027081","https://openalex.org/W3084459866","https://openalex.org/W3100071135","https://openalex.org/W3112535140","https://openalex.org/W3134140119","https://openalex.org/W3134651880","https://openalex.org/W3154719286","https://openalex.org/W3166182933","https://openalex.org/W3182423832","https://openalex.org/W4238891373","https://openalex.org/W4240022548","https://openalex.org/W4300672471","https://openalex.org/W4303577753","https://openalex.org/W6628849183","https://openalex.org/W6632813477","https://openalex.org/W6773332844","https://openalex.org/W6785424179","https://openalex.org/W7024032334"],"related_works":["https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W4252230435","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W3144722888","https://openalex.org/W2089650474","https://openalex.org/W2364896863","https://openalex.org/W2389189059"],"abstract_inverted_index":{"Analysis":[0,170],"of":[1,16,91,104,119,127,141,175,209,214,231],"Brazil\u2019s":[2],"rainforest":[3,17],"fires":[4,92,97,233],"caused":[5],"by":[6,192],"various":[7,227],"factors":[8],"has":[9,257],"become":[10],"a":[11,32,77,138,150,184,258],"hot":[12],"topic":[13],"nowadays,.":[14],"Mining":[15],"fire":[18,35,72,78,176],"data":[19],"through":[20,56],"learning":[21],"unlabeled":[22],"training":[23],"samples":[24,177],"can":[25,48,69,221],"reveal":[26],"inherent":[27],"properties":[28],"and":[29,75,94,124,143,178,242,245],"patterns,":[30],"providing":[31],"clue":[33],"for":[34],"prevention.":[36],"Among":[37],"commonly":[38],"used":[39,121],"mining":[40],"approaches,":[41],"clustering":[42,83,111,123,129,153,211,224,260,266],"algorithms":[43],"based":[44,65,85,136],"on":[45,66,86,137],"density":[46,106,195],"estimation":[47],"relatively":[49],"effectively":[50,70,222],"capture":[51],"the":[52,60,87,102,110,117,125,128,133,145,148,173,210,215,218,229,240,246,251,263],"potential":[53],"ignition":[54,181],"features":[55],"probability":[57,105],"calculation,":[58],"while":[59],"Gaussian":[61,160],"mixture":[62],"model":[63,154,163],"(GMM)":[64],"Expectation-Maximum":[67],"(EM)":[68],"quantify":[71],"distribution":[73,89],"curves":[74],"decompose":[76],"object":[79],"into":[80],"different":[81],"shape":[82,126,212],"problems":[84,225],"actual":[88],"characteristics":[90],"data,":[93],"thus":[95],"cluster":[96],"more":[98],"accurately.":[99],"However,":[100],"when":[101],"discrimination":[103],"is":[107,113,165,190,203],"not":[108],"apparent,":[109],"effect":[112,261],"susceptible":[114],"to":[115],"both":[116,239],"number":[118],"parameters":[120,146,196],"in":[122,132,147,234,254],"problem.":[130],"Therefore,":[131],"present":[134],"paper,":[135],"new":[139,151,185],"strategy":[140],"selecting":[142,194],"updating":[144],"GMM,":[149],"hybrid":[152],"called":[155],"Principal":[156,168],"Component":[157,169],"Analysis-boosted":[158],"Dynamic":[159],"Mixture":[161],"Clustering":[162],"(PCA-DGM)":[164],"developed.":[166],"Specifically,":[167],"(PCA)":[171],"reduces":[172],"dimension":[174],"strengthens":[179],"key":[180],"features.":[182],"Furthermore,":[183],"dynamic":[186],"distance":[187,198],"loss":[188],"function":[189],"developed":[191],"dynamically":[193],"or":[197],"parameters,":[199],"whose":[200],"computing":[201],"value":[202],"utilized":[204],"as":[205],"one":[206],"important":[207],"parameter":[208],"decision":[213],"GMM.":[216],"Using":[217],"PCA-DGM,":[219],"which":[220],"solve":[223],"with":[226],"shapes,":[228],"causes":[230],"forest":[232],"Brazil":[235],"are":[236],"analyzed":[237],"at":[238],"temporal":[241],"geographical":[243],"levels,":[244],"experimental":[247],"results":[248],"demonstrate":[249],"that":[250],"proposed":[252],"PCA-DGM":[253],"this":[255],"paper":[256],"better":[259],"than":[262],"other":[264],"traditional":[265],"algorithms.":[267]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2021-11-08T00:00:00"}
