{"id":"https://openalex.org/W4401109468","doi":"https://doi.org/10.1109/tai.2024.3436037","title":"Multimodal Fusion Induced Attention Network for Industrial VOCs Detection","display_name":"Multimodal Fusion Induced Attention Network for Industrial VOCs Detection","publication_year":2024,"publication_date":"2024-07-30","ids":{"openalex":"https://openalex.org/W4401109468","doi":"https://doi.org/10.1109/tai.2024.3436037"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2024.3436037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3436037","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on 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":"https://openalex.org/A5025987638","display_name":"Yu Kang","orcid":"https://orcid.org/0000-0002-8706-3252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Kang","raw_affiliation_strings":["Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-8706-3252","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070261498","display_name":"Kehao Shi","orcid":"https://orcid.org/0009-0002-6444-5845"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kehao Shi","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China","Department of Automation University of Science and Technology of China Hefei, 230026"],"raw_orcid":"https://orcid.org/0009-0002-6444-5845","affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Automation University of Science and Technology of China Hefei, 230026","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086254262","display_name":"Jifang Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jifang Tan","raw_affiliation_strings":["AHU-IAI AI Joint Laboratory, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0005-5934-4363","affiliations":[{"raw_affiliation_string":"AHU-IAI AI Joint Laboratory, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Cao","orcid":"https://orcid.org/0000-0002-2891-4379"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cao","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-2891-4379","affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lijun Zhao","orcid":"https://orcid.org/0000-0002-9108-8276"},"institutions":[{"id":"https://openalex.org/I4210105136","display_name":"Yangtze River Delta Physics Research Center (China)","ror":"https://ror.org/01g53qc72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210105136"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Zhao","raw_affiliation_strings":["Yangtze River Delta Hart Robot Industry Technology Research Institute, Wuhu, China","Yangtze River Delta Hart robot industry Technology Research Institute, Wuhu, China"],"raw_orcid":"https://orcid.org/0000-0002-9108-8276","affiliations":[{"raw_affiliation_string":"Yangtze River Delta Hart Robot Industry Technology Research Institute, Wuhu, China","institution_ids":["https://openalex.org/I4210105136","https://openalex.org/I4210144102"]},{"raw_affiliation_string":"Yangtze River Delta Hart robot industry Technology Research Institute, Wuhu, China","institution_ids":["https://openalex.org/I4210144102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023709250","display_name":"Zhenyi Xu","orcid":"https://orcid.org/0000-0002-5804-882X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenyi Xu","raw_affiliation_strings":["Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5804-882X","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6327,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6064313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"5","issue":"12","first_page":"6385","last_page":"6398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10461","display_name":"Gas Sensing Nanomaterials and Sensors","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.46395936608314514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42895159125328064},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.42665308713912964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3398194909095764}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.46395936608314514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42895159125328064},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.42665308713912964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3398194909095764},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2024.3436037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3436037","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5478964503","display_name":null,"funder_award_id":"62033012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G88965110","display_name":null,"funder_award_id":"62103124","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1976765852","https://openalex.org/W2062313134","https://openalex.org/W2344666353","https://openalex.org/W2557260710","https://openalex.org/W2724866398","https://openalex.org/W2785649357","https://openalex.org/W2790555938","https://openalex.org/W2793050935","https://openalex.org/W2888261815","https://openalex.org/W2910617417","https://openalex.org/W2964027659","https://openalex.org/W2988600867","https://openalex.org/W2996575194","https://openalex.org/W3002846409","https://openalex.org/W3005533248","https://openalex.org/W3007570526","https://openalex.org/W3023203534","https://openalex.org/W3034519219","https://openalex.org/W3041906202","https://openalex.org/W3047800102","https://openalex.org/W3087039125","https://openalex.org/W3097354404","https://openalex.org/W3112626755","https://openalex.org/W3118570274","https://openalex.org/W3119514771","https://openalex.org/W3121751387","https://openalex.org/W3126855404","https://openalex.org/W3127555982","https://openalex.org/W3127748940","https://openalex.org/W3130394099","https://openalex.org/W3133806306","https://openalex.org/W3138516171","https://openalex.org/W3161147783","https://openalex.org/W3183904268","https://openalex.org/W3187910480","https://openalex.org/W3192237164","https://openalex.org/W3202482580","https://openalex.org/W3207919963","https://openalex.org/W3214740560","https://openalex.org/W4205453401","https://openalex.org/W4214634256","https://openalex.org/W4221012945","https://openalex.org/W4283808043","https://openalex.org/W4285413717","https://openalex.org/W4289752563","https://openalex.org/W4312668764","https://openalex.org/W4327785494","https://openalex.org/W4380985972","https://openalex.org/W4385245566","https://openalex.org/W4386076325","https://openalex.org/W4386189887","https://openalex.org/W6784333009","https://openalex.org/W6788135285","https://openalex.org/W6843239693","https://openalex.org/W6845935626"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Industrial":[0],"volatile":[1],"organic":[2],"compounds":[3],"(VOCs)":[4],"emissions":[5,83],"and":[6,15,50,68,106,146,159,181,200,203,211,220],"leakage":[7],"have":[8],"caused":[9,186],"serious":[10],"problems":[11],"to":[12,24,32,65,77,102,121,136,166],"the":[13,29,130,155,176,196,201,206,215],"environment":[14],"public":[16],"safety.":[17],"Traditional":[18],"VOCs":[19,40,59,82,169,184,198],"monitoring":[20],"systems":[21],"require":[22],"professionals":[23],"carry":[25],"gas":[26,70],"sensors":[27],"into":[28],"emission":[30],"area":[31],"collect":[33],"VOCs,":[34],"which":[35,85,174,213],"might":[36],"cause":[37],"secondary":[38],"hazards.":[39],"infrared":[41],"(IR)":[42],"imaging":[43,61,67],"visual":[44,55],"inspection":[45],"technology":[46],"is":[47,119],"a":[48,97,112],"convenient":[49],"low-cost":[51],"method.":[52],"However,":[53],"current":[54],"detection":[56,100],"methods":[57,217],"with":[58,104],"IR":[60,79,107,172],"are":[62,164,192,209],"limited":[63],"due":[64],"blurred":[66],"indeterminate":[69],"shapes.":[71],"Moreover,":[72],"major":[73],"works":[74],"pay":[75],"attention":[76,116,132,161],"only":[78],"modality":[80,156],"for":[81],"detection,":[84],"would":[86],"neglect":[87],"semantic":[88],"expressions":[89],"of":[90,109,143,178,183,205],"VOCs.":[91,110],"To":[92],"this":[93],"end,":[94],"we":[95],"propose":[96],"dual-stream":[98],"fusion":[99,114,124,133],"framework":[101],"deal":[103],"visible":[105],"features":[108,149],"Additionally,":[111],"multimodal":[113],"induced":[115,160],"(MFIA)":[117],"module":[118,134,162],"designed":[120],"realize":[122],"feature":[123],"across":[125],"modalities.":[126],"Specifically,":[127],"MFIA":[128],"uses":[129],"spatial":[131,144,151],"(SAFM)":[135],"mine":[137],"association":[138],"among":[139],"modalities":[140],"in":[141,171],"terms":[142],"location":[145,152],"generates":[147],"fused":[148],"by":[150,187,218],"weighting.":[153],"Then,":[154],"adapter":[157],"(MA)":[158],"(IAM)":[163],"proposed":[165,207],"weight":[167],"latent":[168],"regions":[170],"features,":[173],"alleviates":[175],"problem":[177],"noise":[179],"interference":[180],"degradation":[182],"characterization":[185],"fusion.":[188],"Finally,":[189],"comprehensive":[190],"experiments":[191],"carried":[193],"out":[194],"on":[195],"challenging":[197],"dataset,":[199],"mAP@0.5":[202],"F1-score":[204],"model":[208],"0.527":[210],"0.601,":[212],"outperforms":[214],"state-of-the-art":[216],"3.3%":[219],"3.4%,":[221],"respectively.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
