{"id":"https://openalex.org/W4388834951","doi":"https://doi.org/10.1145/3615886.3627739","title":"Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations","display_name":"Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4388834951","doi":"https://doi.org/10.1145/3615886.3627739"},"language":"en","primary_location":{"id":"doi:10.1145/3615886.3627739","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615886.3627739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery","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/A5109472441","display_name":"Keiichi Ochiai","orcid":"https://orcid.org/0000-0001-8344-0551"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Keiichi Ochiai","raw_affiliation_strings":["NTT DOCOMO, INC., Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8344-0551","affiliations":[{"raw_affiliation_string":"NTT DOCOMO, INC., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040405712","display_name":"Masayuki Terada","orcid":"https://orcid.org/0000-0002-8902-410X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masayuki Terada","raw_affiliation_strings":["NTT DOCOMO, INC., Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8902-410X","affiliations":[{"raw_affiliation_string":"NTT DOCOMO, INC., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017900980","display_name":"Hiroaki Sano","orcid":"https://orcid.org/0000-0001-8325-4820"},"institutions":[{"id":"https://openalex.org/I4210140163","display_name":"National Research Institute for Earth Science and Disaster Resilience","ror":"https://ror.org/04cwfse38","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210140163"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Sano","raw_affiliation_strings":["National Research Institute for Earth Science and Disaster, Resilience, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8325-4820","affiliations":[{"raw_affiliation_string":"National Research Institute for Earth Science and Disaster, Resilience, Tsukuba, Japan","institution_ids":["https://openalex.org/I4210140163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001054314","display_name":"Makoto Hanashima","orcid":"https://orcid.org/0000-0001-7844-5315"},"institutions":[{"id":"https://openalex.org/I4210140163","display_name":"National Research Institute for Earth Science and Disaster Resilience","ror":"https://ror.org/04cwfse38","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210140163"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Hanashima","raw_affiliation_strings":["National Research Institute for Earth Science and Disaster, Resilience, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7844-5315","affiliations":[{"raw_affiliation_string":"National Research Institute for Earth Science and Disaster, Resilience, Tsukuba, Japan","institution_ids":["https://openalex.org/I4210140163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110807938","display_name":"Yuichiro Usuda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140163","display_name":"National Research Institute for Earth Science and Disaster Resilience","ror":"https://ror.org/04cwfse38","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210140163"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichiro Usuda","raw_affiliation_strings":["National Research Institute for Earth Science and Disaster, Resilience, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8660-7270","affiliations":[{"raw_affiliation_string":"National Research Institute for Earth Science and Disaster, Resilience, Tsukuba, Japan","institution_ids":["https://openalex.org/I4210140163"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109472441"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3802,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7489549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8627086281776428},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7636843323707581},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6726089715957642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.651348352432251},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5583213567733765},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5153669714927673},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5129375457763672},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.48102647066116333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4652899503707886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37116557359695435},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34983354806900024},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17029887437820435},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.08091750741004944}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8627086281776428},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7636843323707581},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6726089715957642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651348352432251},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5583213567733765},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5153669714927673},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5129375457763672},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.48102647066116333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4652899503707886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37116557359695435},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34983354806900024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17029887437820435},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.08091750741004944},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3615886.3627739","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615886.3627739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1999110238","https://openalex.org/W1999499433","https://openalex.org/W2136655611","https://openalex.org/W2167978925","https://openalex.org/W2194775991","https://openalex.org/W2295669946","https://openalex.org/W2565264827","https://openalex.org/W2618530766","https://openalex.org/W3040266635","https://openalex.org/W3118600296","https://openalex.org/W3135550350","https://openalex.org/W3214326295","https://openalex.org/W4298047683","https://openalex.org/W4309651440"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W2918377632","https://openalex.org/W3202913553","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774"],"abstract_inverted_index":{"It":[0],"is":[1,137],"important":[2],"for":[3,52,67],"local":[4,47],"governments":[5,48],"to":[6,49],"grasp":[7],"the":[8,12,92,127,132,142,148],"evacuation":[9],"situation":[10],"upon":[11],"occurrence":[13],"of":[14,36,86,94,135,141],"a":[15,60,118,152],"large-scale":[16],"disaster":[17,53],"because":[18],"administrative":[19],"support":[20],"can":[21],"be":[22],"provided,":[23],"such":[24],"as":[25],"opening":[26],"temporary":[27],"accommodation":[28],"facilities":[29],"or":[30],"distributing":[31],"relief":[32],"supplies.":[33],"Early":[34],"identification":[35],"locations":[37],"where":[38],"population":[39,68,80,124],"transitions":[40],"differ":[41],"from":[42,83,100],"normal":[43],"conditions":[44],"will":[45],"help":[46],"identify":[50],"areas":[51],"response.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"propose":[59],"simple":[61],"yet":[62],"effective":[63],"anomaly":[64],"detection":[65],"method":[66,97,120],"transition":[69],"using":[70,78,98],"an":[71],"autoencoder":[72],"that":[73,109,121,131,140,146],"leverages":[74,113],"periodic":[75,114],"residual":[76,115,149],"components":[77],"real-time":[79],"dynamics":[81],"generated":[82],"operation":[84],"data":[85,99],"cellular":[87],"phone":[88],"networks.":[89],"We":[90],"evaluated":[91],"effectiveness":[93],"our":[95,110],"proposed":[96],"three":[101],"real":[102],"earthquakes":[103],"in":[104],"Japan.":[105],"The":[106],"results":[107,129],"demonstrated":[108],"approach,":[111],"which":[112],"components,":[116],"outperforms":[117],"baseline":[119,143],"directly":[122],"uses":[123],"transition.":[125],"Moreover,":[126],"experimental":[128],"showed":[130],"standard":[133],"deviation":[134],"recall":[136],"smaller":[138],"than":[139],"method,":[144],"indicating":[145],"utilizing":[147],"component":[150],"has":[151],"stabilizing":[153],"effect":[154],"on":[155],"accuracy.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
