{"id":"https://openalex.org/W4407682184","doi":"https://doi.org/10.1145/3718094","title":"Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor","display_name":"Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor","publication_year":2025,"publication_date":"2025-02-18","ids":{"openalex":"https://openalex.org/W4407682184","doi":"https://doi.org/10.1145/3718094"},"language":"en","primary_location":{"id":"doi:10.1145/3718094","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3718094","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","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":"https://openalex.org/A5008480744","display_name":"Pei-Xuan Li","orcid":"https://orcid.org/0000-0002-6014-4191"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Pei-Xuan Li","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Electrical Engineering, National Cheng Kung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007626411","display_name":"Hsun-Ping Hsieh","orcid":"https://orcid.org/0000-0001-6924-1337"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsun-Ping Hsieh","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan and Academy of Innovative Semiconductor and Sustainable Manufacturing, National Cheng Kung University, Tainan, Taiwan","Department of Electrical Engineering, National Cheng Kung University; Academy of Innovative Semiconductor and Sustainable Manufacturing, National Cheng Kung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan and Academy of Innovative Semiconductor and Sustainable Manufacturing, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University; Academy of Innovative Semiconductor and Sustainable Manufacturing, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008480744"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":3.1318,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89838982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"3","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9929999709129333,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9929999709129333,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9854000210762024,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9749000072479248,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dengue-fever","display_name":"Dengue fever","score":0.8593382835388184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8260465264320374},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5279009938240051},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5234200954437256},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48077458143234253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41726940870285034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39666396379470825},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33498257398605347},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2414948046207428},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.11460652947425842},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08377590775489807}],"concepts":[{"id":"https://openalex.org/C533803919","wikidata":"https://www.wikidata.org/wiki/Q30953","display_name":"Dengue fever","level":2,"score":0.8593382835388184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260465264320374},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5279009938240051},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5234200954437256},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48077458143234253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41726940870285034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39666396379470825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33498257398605347},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2414948046207428},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.11460652947425842},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08377590775489807},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3718094","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3718094","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W849254157","https://openalex.org/W1274130343","https://openalex.org/W1969865391","https://openalex.org/W1999138782","https://openalex.org/W2003938839","https://openalex.org/W2032576386","https://openalex.org/W2064675550","https://openalex.org/W2088252378","https://openalex.org/W2169707207","https://openalex.org/W2295598076","https://openalex.org/W2765736339","https://openalex.org/W2766013390","https://openalex.org/W2766585573","https://openalex.org/W2768348081","https://openalex.org/W2776048679","https://openalex.org/W2788381291","https://openalex.org/W2801896044","https://openalex.org/W2808535700","https://openalex.org/W2903871660","https://openalex.org/W2911964244","https://openalex.org/W2979796718","https://openalex.org/W2983441169","https://openalex.org/W2996847713","https://openalex.org/W2997513934","https://openalex.org/W2997848713","https://openalex.org/W2999103859","https://openalex.org/W3010613921","https://openalex.org/W3012562343","https://openalex.org/W3020673398","https://openalex.org/W3088943773","https://openalex.org/W3120244587","https://openalex.org/W3174022889","https://openalex.org/W4211232841","https://openalex.org/W4224326907","https://openalex.org/W4240592325","https://openalex.org/W4283739673","https://openalex.org/W4291910343","https://openalex.org/W4302364527","https://openalex.org/W4390100423","https://openalex.org/W6739901393","https://openalex.org/W6745537798"],"related_works":["https://openalex.org/W4381663654","https://openalex.org/W2068304598","https://openalex.org/W2807168341","https://openalex.org/W2725116932","https://openalex.org/W2509622515","https://openalex.org/W1965818759","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Dengue":[0],"fever":[1,70],"is":[2,17,28,95],"an":[3,174],"emergency":[4],"disease":[5,16],"spread":[6],"by":[7,31,42],"mosquitoes.":[8],"The":[9,78,199,212],"most":[10],"direct":[11],"way":[12],"to":[13,18,51,90,114,133,150,165,177],"prevent":[14],"the":[15,33,38,43,120,152,167,180,193,203,207,228],"predict":[19],"risky":[20],"areas":[21,46],"and":[22,54,100,141,159,210],"bolster":[23],"mosquito":[24],"preventive":[25],"strategies.":[26],"Risk":[27],"usually":[29],"evaluated":[30],"monitoring":[32],"number":[34],"of":[35,80,169,182,196],"eggs":[36],"in":[37,73,220],"ovitraps":[39],"set":[40],"up":[41],"government.":[44],"However,":[45],"without":[47,75],"sensors":[48,155],"still":[49],"need":[50],"be":[52],"checked":[53],"managed":[55],"for":[56],"dengue":[57,69],"risk.":[58],"In":[59],"this":[60,84],"study,":[61],"we":[62,145,172],"focus":[63],"on":[64,138,226],"forecasting":[65],"each":[66],"region\u2019s":[67],"fine-grained":[68],"risk,":[71],"especially":[72],"regions":[74,121],"sensor":[76,125],"coverage.":[77],"paucity":[79],"historical":[81,183],"data":[82],"makes":[83],"endeavor":[85],"challenging.":[86],"Furthermore,":[87],"determining":[88],"how":[89],"effectively":[91],"blend":[92],"different":[93,157],"features":[94],"another":[96],"important":[97],"research":[98],"challenge":[99],"practical":[101],"issue.":[102],"We":[103,185],"propose":[104],"a":[105,130,147,160,189,223],"Multi-View":[106],"Graph":[107],"Fusion":[108],"Approach":[109],"with":[110,179],"Approximation":[111],"Module":[112],"(MVGAM)":[113],"address":[115],"these":[116],"two":[117],"issues.":[118],"For":[119],"that":[122,202,217],"have":[123],"no":[124],"coverage,":[126],"MVGAM":[127,205,221],"first":[128],"uses":[129],"feature":[131],"extractor":[132],"learn":[134,166],"their":[135,139],"representation":[136],"based":[137],"dynamic":[140],"static":[142],"features.":[143],"Then,":[144],"use":[146,173],"graph":[148,162],"constructor":[149],"formulate":[151],"relationship":[153],"between":[154],"from":[156,192],"perspectives":[158],"multi-view":[161],"fusion":[163],"module":[164,176],"embedding":[168],"sensors.":[170],"Finally,":[171],"approximation":[175],"deal":[178],"lack":[181],"data.":[184],"conducted":[186],"experiments":[187],"using":[188],"real-world":[190],"dataset":[191],"urban":[194],"area":[195],"Tainan,":[197],"Taiwan.":[198],"results":[200],"show":[201],"proposed":[204],"outperforms":[206],"state-of-the-art":[208],"methods":[209],"baselines.":[211],"ablation":[213],"study":[214],"also":[215],"shows":[216],"every":[218],"component":[219],"has":[222],"significant":[224],"impact":[225],"boosting":[227],"prediction":[229],"effectiveness.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}