{"id":"https://openalex.org/W2766676113","doi":"https://doi.org/10.1145/3126686.3126721","title":"Sensing Urban with Wi-Fi and Satellite","display_name":"Sensing Urban with Wi-Fi and Satellite","publication_year":2017,"publication_date":"2017-10-23","ids":{"openalex":"https://openalex.org/W2766676113","doi":"https://doi.org/10.1145/3126686.3126721","mag":"2766676113"},"language":"en","primary_location":{"id":"doi:10.1145/3126686.3126721","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3126686.3126721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the on Thematic Workshops of ACM Multimedia 2017","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/A5103498609","display_name":"Chen Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Yan","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101575044","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0001-6639-5322"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047712495","display_name":"Lifeng Sun","orcid":"https://orcid.org/0000-0002-4057-5138"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifeng Sun","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103498609"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1122662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"314","last_page":"322"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9825000166893005,"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/computer-science","display_name":"Computer science","score":0.7968682646751404},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7238107919692993},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5627921223640442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48845162987709045},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4407931864261627},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4313930571079254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.362923800945282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3455977439880371},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.17220839858055115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7968682646751404},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7238107919692993},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5627921223640442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48845162987709045},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4407931864261627},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4313930571079254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.362923800945282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3455977439880371},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.17220839858055115},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3126686.3126721","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3126686.3126721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the on Thematic Workshops of ACM Multimedia 2017","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4892883069","display_name":null,"funder_award_id":"61521002,61472204,61502264","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":27,"referenced_works":["https://openalex.org/W154472438","https://openalex.org/W1686810756","https://openalex.org/W1823934149","https://openalex.org/W1968969471","https://openalex.org/W1971240982","https://openalex.org/W1971402834","https://openalex.org/W2020912318","https://openalex.org/W2050549724","https://openalex.org/W2054610764","https://openalex.org/W2111362445","https://openalex.org/W2114762199","https://openalex.org/W2117892041","https://openalex.org/W2121875784","https://openalex.org/W2122838776","https://openalex.org/W2153207204","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2164587673","https://openalex.org/W2165698076","https://openalex.org/W2165835468","https://openalex.org/W2179290474","https://openalex.org/W2194775991","https://openalex.org/W2196197460","https://openalex.org/W2345987525","https://openalex.org/W2463983882","https://openalex.org/W2618530766","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724","https://openalex.org/W2241444561"],"abstract_inverted_index":{"Modern":[0],"urbanization":[1],"is":[2,20,64,114],"featured":[3],"with":[4,103,124],"rapid":[5],"development":[6],"and":[7,82],"collective":[8,42],"intelligence,":[9],"for":[10],"which":[11,94],"how":[12],"to":[13,67,116,121],"effectively":[14],"utilize":[15],"multimodal":[16],"urban":[17,33,59],"sensory":[18,39,90],"data":[19,91,132],"a":[21,107],"hot":[22],"topic.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"focus":[28],"on":[29,130],"automatically":[30],"recognizing":[31],"functional":[32,70],"regions":[34,71],"by":[35,46,73,99],"fusing":[36],"two":[37,88],"important":[38],"media,":[40],"including":[41],"behavioral":[43,81],"information":[44],"reflected":[45],"Wi-Fi":[47,77],"accessing":[48],"records":[49],"collected":[50],"from":[51,87,93,112],"large":[52],"populations":[53],"as":[54,56],"well":[55],"high-resolution":[57],"satellite":[58],"imaging.":[60],"An":[61],"aggregation":[62],"algorithm":[63,110],"firstly":[65],"applied":[66],"identify":[68],"candidate":[69],"characterized":[72],"geographical":[74],"clusters":[75],"of":[76,137,143],"access":[78],"points.":[79],"Semantic":[80],"visual":[83],"features":[84],"are":[85,97],"extracted":[86],"heterogeneous":[89],"respectively,":[92],"multi-functional":[95],"properties":[96],"recognized":[98],"combining":[100],"decision":[101],"trees":[102],"boosting":[104],"method.":[105],"Finally,":[106],"transfer":[108],"learning":[109],"derived":[111],"AdaBoost":[113],"proposed":[115,139],"adapt":[117],"the":[118,135,138],"trained":[119],"model":[120,140],"other":[122],"cities":[123],"different":[125],"feature":[126],"distribution.":[127],"Experimental":[128],"results":[129],"real":[131],"sets":[133],"demonstrate":[134],"efficacy":[136],"in":[141],"terms":[142],"recognition":[144],"accuracy.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}