{"id":"https://openalex.org/W4386352917","doi":"https://doi.org/10.1109/agro-geoinformatics59224.2023.10233314","title":"Reverse Deduction Model of Forest Fire Spread Based on Cellular Automata","display_name":"Reverse Deduction Model of Forest Fire Spread Based on Cellular Automata","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4386352917","doi":"https://doi.org/10.1109/agro-geoinformatics59224.2023.10233314"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics59224.2023.10233314","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/agro-geoinformatics59224.2023.10233314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100582744","display_name":"Shiyi Huang","orcid":"https://orcid.org/0009-0002-0534-7794"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiyi Huang","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101044420","display_name":"Qingxiang Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxiang Meng","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100582744"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04984243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12472","display_name":"Plant responses to water stress","score":0.920799970626831,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12472","display_name":"Plant responses to water stress","score":0.920799970626831,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.7732601761817932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6262183785438538},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.5499463081359863},{"id":"https://openalex.org/keywords/reverse-engineering","display_name":"Reverse engineering","score":0.48125001788139343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3261173963546753},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.19550514221191406}],"concepts":[{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.7732601761817932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6262183785438538},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.5499463081359863},{"id":"https://openalex.org/C207850805","wikidata":"https://www.wikidata.org/wiki/Q269608","display_name":"Reverse engineering","level":2,"score":0.48125001788139343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3261173963546753},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.19550514221191406}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics59224.2023.10233314","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/agro-geoinformatics59224.2023.10233314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2028692319","https://openalex.org/W2056958785","https://openalex.org/W2144246892","https://openalex.org/W2578319993","https://openalex.org/W2977275967","https://openalex.org/W6768530700"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2363831530","https://openalex.org/W2164619678","https://openalex.org/W2363845219","https://openalex.org/W2113544496","https://openalex.org/W2360313292","https://openalex.org/W1669105318","https://openalex.org/W2067777412","https://openalex.org/W2381057835"],"abstract_inverted_index":{"Nowadays,":[0],"forest":[1,26,59,68,117,205,224,327,362],"fires":[2,27,45,60,225],"occur":[3],"more":[4,6,325],"and":[5,19,28,78,94,97,134,155,157,174,194,198,226,274,311,340,366,377,380],"frequently":[7],"due":[8],"to":[9,16,24,103,218,290,314,371,392],"global":[10],"warming,":[11],"posing":[12],"a":[13,182,199,324],"huge":[14],"threat":[15],"the":[17,33,42,65,87,98,138,142,168,212,221,228,239,242,246,258,268,284,298,301,315,334,338,342,345,349,359,384,387,390,394],"economy":[18],"people\u2019s":[20],"security.":[21],"In":[22,319],"order":[23],"prevent":[25,393],"carry":[29],"out":[30],"timely":[31],"rescue,":[32],"research":[34],"about":[35,112],"reverse":[36,84,89,113,201,285],"deduction":[37,114,202],"model":[38,115,186,203,269,287,322,400],"which":[39,129,166,237,331],"can":[40,62,135,304,332,355,381],"trace":[41,383],"source":[43],"of":[44,47,58,67,72,116,145,149,160,204,223,241,278,283,292,300,337,344,361,386,396,402],"is":[46,187,208,352,401],"great":[48,403],"significance.":[49],"At":[50],"present,":[51],"there":[52,79],"are":[53,74,80,101,164,288],"many":[54],"mature":[55],"spread":[56,66,119,207,222],"models":[57,91,173],"that":[61,267,291],"accurately":[63,306],"simulate":[64,137,219,333],"fires,":[69],"but":[70],"most":[71],"them":[73],"forward":[75,294],"simulation":[76,90,272,286,295,329],"models,":[77],"few":[81],"studies":[82],"on":[83,121,211,232],"simulation.":[85],"Even":[86],"existing":[88],"have":[92],"complex":[93],"single":[95],"structure,":[96],"input":[99],"data":[100,255],"difficult":[102],"obtain.":[104],"Therefore,":[105,398],"this":[106,321,399],"paper":[107],"comes":[108],"up":[109],"with":[110],"ideas":[111],"fire":[118,139,206,229,259,279,302,317,328,339,346,350,363,367,375,388],"based":[120,210,231],"Cellular":[122,146,184],"Automata":[123,185],"(CA)":[124],"without":[125],"considering":[126],"human":[127],"intervention,":[128],"needs":[130],"parameters":[131],"easily":[132],"accessible":[133],"reversely":[136,220],"process.":[140],"Firstly,":[141],"basic":[143],"component":[144],"Automata,":[147],"principles":[148,156],"Discrete":[150],"Event":[151],"System":[152],"Specification":[153],"(DEVS)":[154],"common":[158],"methods":[159,175],"Shortest":[161],"Path":[162],"Algorithms":[163],"analyzed,":[165],"provides":[167,270,323],"basis":[169],"for":[170,176,178,358,374],"building":[171],"CA":[172],"searching":[177],"ignition":[179,243],"points.":[180],"Then":[181],"suitable":[183],"designed,":[188],"including":[189],"cell":[190],"neighborhood,":[191],"combustion":[192],"state,":[193],"state":[195],"transition":[196],"rules,":[197],"CA-based":[200],"constructed":[209],"DEVS":[213],"framework,":[214],"thus":[215],"being":[216,251,312],"used":[217,357],"estimate":[227],"point":[230,244,303,347,351],"minimum":[233],"travel":[234],"time":[235,282],"(MTT),":[236],"reflects":[238],"possibility":[240],"by":[245,253],"MTT":[247],"standard":[248],"deviation.":[249],"After":[250],"tested":[252],"experimental":[254],"collected":[256],"in":[257,261,263,405],"happened":[260],"Hulunbuir":[262],"China,":[264],"it":[265],"shows":[266],"good":[271],"effect":[273],"accuracy.":[275],"The":[276],"areas":[277],"at":[280],"different":[281],"close":[289,313],"ordinary":[293],"model.":[296],"Also,":[297],"location":[299,343],"be":[305,356],"estimated,":[307],"within":[308],"limited":[309],"error":[310],"real":[316],"point.":[318],"conclusion,":[320],"convenient":[326],"method,":[330],"burning":[335,364],"process":[336],"predict":[341],"when":[348],"unknown.":[353],"It":[354],"prediction":[360],"trend":[365],"point,":[368],"so":[369],"as":[370],"provide":[372],"help":[373],"extinguishing":[376],"disaster":[378,391,406],"relief,":[379],"also":[382],"cause":[385],"after":[389],"occurrence":[395],"fire.":[397],"significance":[404],"prevention.":[407]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}