{"id":"https://openalex.org/W4406721829","doi":"https://doi.org/10.1142/s0218001425300012","title":"A Bayesian Network-based Scenario-Response Model for Situation Deduction in Emergency Management of Rainstorm Scenarios","display_name":"A Bayesian Network-based Scenario-Response Model for Situation Deduction in Emergency Management of Rainstorm Scenarios","publication_year":2025,"publication_date":"2025-01-22","ids":{"openalex":"https://openalex.org/W4406721829","doi":"https://doi.org/10.1142/s0218001425300012"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425300012","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425300012","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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":null,"display_name":"Liming Zhang","orcid":"https://orcid.org/0009-0001-9827-7766"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liming Zhang","raw_affiliation_strings":["School of Civil Engineering, North China University of Technology, Beijing 100144, P. R. China"],"raw_orcid":"https://orcid.org/0009-0001-9827-7766","affiliations":[{"raw_affiliation_string":"School of Civil Engineering, North China University of Technology, Beijing 100144, P. R. China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiangqinzhe Liu","orcid":"https://orcid.org/0009-0003-7881-0919"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangqinzhe Liu","raw_affiliation_strings":["School of Information Management, Sun Yat-Sen University, Guangzhou 510006, P. R. China"],"raw_orcid":"https://orcid.org/0009-0003-7881-0919","affiliations":[{"raw_affiliation_string":"School of Information Management, Sun Yat-Sen University, Guangzhou 510006, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ruijie Zhao","orcid":"https://orcid.org/0000-0001-7090-6789"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruijie Zhao","raw_affiliation_strings":["School of Information Management, Sun Yat-Sen University, Guangzhou 510006, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-7090-6789","affiliations":[{"raw_affiliation_string":"School of Information Management, Sun Yat-Sen University, Guangzhou 510006, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738625","display_name":"Fenghua Zhang","orcid":"https://orcid.org/0009-0003-6198-2992"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenghua Zhang","raw_affiliation_strings":["School of Information Management, Sun Yat-Sen University, Guangzhou 510006, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Management, Sun Yat-Sen University, Guangzhou 510006, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":null,"display_name":"Huiyou Chang","orcid":"https://orcid.org/0009-0003-3252-6728"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyou Chang","raw_affiliation_strings":["School of Computer Science, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, P. R. China"],"raw_orcid":"https://orcid.org/0009-0003-3252-6728","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, P. R. China","institution_ids":["https://openalex.org/I186272606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00880561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9004999995231628,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9004999995231628,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/bayesian-network","display_name":"Bayesian network","score":0.660879373550415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6405317783355713},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5578949451446533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4713762700557709},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40580007433891296},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3771061897277832},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3386211395263672},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1641569435596466}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.660879373550415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6405317783355713},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5578949451446533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4713762700557709},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40580007433891296},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3771061897277832},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3386211395263672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1641569435596466}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425300012","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425300012","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G8575913026","display_name":null,"funder_award_id":"2022YFC3006400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1971143298","https://openalex.org/W1986370907","https://openalex.org/W2008936765","https://openalex.org/W2148407406","https://openalex.org/W2470050080","https://openalex.org/W2729147228","https://openalex.org/W2747765175","https://openalex.org/W2809955919","https://openalex.org/W2889949690","https://openalex.org/W2999368019","https://openalex.org/W4200194505","https://openalex.org/W4210406827","https://openalex.org/W4234590900","https://openalex.org/W4281263014","https://openalex.org/W4293537634","https://openalex.org/W4308038010","https://openalex.org/W4311387205","https://openalex.org/W4311959706","https://openalex.org/W4312075186","https://openalex.org/W4312204169","https://openalex.org/W4313570509","https://openalex.org/W4362719787","https://openalex.org/W4372329045","https://openalex.org/W4379196981","https://openalex.org/W4385289690","https://openalex.org/W4385743449","https://openalex.org/W4399135976","https://openalex.org/W4400724656","https://openalex.org/W4401615170","https://openalex.org/W4403537350"],"related_works":["https://openalex.org/W2972991241","https://openalex.org/W2961085424","https://openalex.org/W2381390841","https://openalex.org/W4224009465","https://openalex.org/W2955463503","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4367181073","https://openalex.org/W4360591956","https://openalex.org/W2371925260"],"abstract_inverted_index":{"The":[0,21],"prevalence":[1],"of":[2,49,77,85,112,123,126],"safety":[3],"hazards":[4],"has":[5],"intensified,":[6],"underscoring":[7],"the":[8,30,46,67,82,110,113,124],"pressing":[9],"need":[10],"for":[11,35,60],"effective":[12],"responses":[13],"to":[14,98],"sudden":[15],"disasters":[16],"and":[17,32,92,102,128],"enhanced":[18],"emergency":[19,37,40,89],"management.":[20],"traditional":[22],"forecast-response":[23],"paradigm":[24],"is":[25],"no":[26],"longer":[27],"adequately":[28],"addressing":[29],"management":[31,41],"decision-making":[33],"needs":[34],"contemporary":[36],"incidents.":[38],"Existing":[39],"frameworks":[42],"often":[43],"struggle":[44],"with":[45],"systemic":[47],"characteristics":[48],"unexpected":[50],"events.":[51],"This":[52,117],"study":[53],"proposes":[54],"a":[55,75,100,120],"Bayesian":[56],"network-based":[57],"scenario-response":[58],"framework":[59],"situation":[61],"deduction":[62],"in":[63,71],"Emergency":[64],"Management,":[65],"taking":[66],"torrential":[68],"rain":[69],"disaster":[70],"Henan":[72],"Province":[73],"as":[74],"point":[76],"reference.":[78],"In":[79],"this":[80],"context,":[81],"fundamental":[83],"units":[84],"disaster-forming":[86],"environment":[87],"(E),":[88],"measures":[90],"(M),":[91],"scenario":[93,104,114],"state":[94],"(S)":[95],"are":[96],"employed":[97],"construct":[99],"coherent":[101],"dynamic":[103],"evolution":[105,125],"chain,":[106],"which":[107],"effectively":[108],"depicts":[109],"progression":[111],"linkage":[115],"process.":[116],"approach":[118],"facilitates":[119],"deeper":[121],"understanding":[122],"emergencies":[127],"enhances":[129],"predictive":[130],"capacity.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}