{"id":"https://openalex.org/W4312446103","doi":"https://doi.org/10.1109/icarm54641.2022.9959260","title":"VOCs Leakage Detection Based on Weak Temporal Attention Asymmetric 3D Convolution","display_name":"VOCs Leakage Detection Based on Weak Temporal Attention Asymmetric 3D Convolution","publication_year":2022,"publication_date":"2022-07-09","ids":{"openalex":"https://openalex.org/W4312446103","doi":"https://doi.org/10.1109/icarm54641.2022.9959260"},"language":"en","primary_location":{"id":"doi:10.1109/icarm54641.2022.9959260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm54641.2022.9959260","pdf_url":null,"source":{"id":"https://openalex.org/S4363608069","display_name":"2022 International Conference on Advanced Robotics and Mechatronics (ICARM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Advanced Robotics and Mechatronics (ICARM)","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/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":true,"raw_author_name":"Jifang Tan","raw_affiliation_strings":["Anhui University,AHU-IAI AI Joint Laboratory,Hefei,China,230601","Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui University,AHU-IAI AI Joint Laboratory,Hefei,China,230601","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004299336","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":["University of Science and Technology of China,Department of Automation,Hefei,China,230026","Institute of Advanced Technology, University of Science and Technology of China, Hefei, China","Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Department of Automation,Hefei,China,230026","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Institute of Advanced Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115588128","display_name":"Futian Wang","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":"Futian Wang","raw_affiliation_strings":["Cognitive Computing Research Center of Anhui University, School of Computer Science and Technology Anhui University,Hefei,China,230601"],"affiliations":[{"raw_affiliation_string":"Cognitive Computing Research Center of Anhui University, School of Computer Science and Technology Anhui University,Hefei,China,230601","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083138996","display_name":"Xiushan Xia","orcid":null},"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":"Xiushan Xia","raw_affiliation_strings":["Institute of Advanced Technology, University of Science and Technology of China,Hefei,China,230088"],"affiliations":[{"raw_affiliation_string":"Institute of Advanced Technology, University of Science and Technology of China,Hefei,China,230088","institution_ids":["https://openalex.org/I126520041"]}]},{"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,230088"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center,Hefei,China,230088","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086254262"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.2256,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70089731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"200","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9980000257492065,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/convolution","display_name":"Convolution (computer science)","score":0.6999278664588928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6888757348060608},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6850748062133789},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.5856041312217712},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5490142703056335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5417519211769104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4549935758113861},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.4160061478614807},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4158571660518646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23324760794639587},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16316711902618408}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6999278664588928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6888757348060608},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6850748062133789},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.5856041312217712},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5490142703056335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5417519211769104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4549935758113861},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.4160061478614807},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4158571660518646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23324760794639587},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16316711902618408},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarm54641.2022.9959260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm54641.2022.9959260","pdf_url":null,"source":{"id":"https://openalex.org/S4363608069","display_name":"2022 International Conference on Advanced Robotics and Mechatronics (ICARM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Advanced Robotics and Mechatronics (ICARM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1947481528","https://openalex.org/W2608475714","https://openalex.org/W2619082050","https://openalex.org/W2751139225","https://openalex.org/W2767352048","https://openalex.org/W2901751978","https://openalex.org/W2944330800","https://openalex.org/W2962858109","https://openalex.org/W2963091558","https://openalex.org/W2963524571","https://openalex.org/W2963722382","https://openalex.org/W2990152177","https://openalex.org/W3005533248","https://openalex.org/W3007570526","https://openalex.org/W3037206983","https://openalex.org/W3081434152","https://openalex.org/W3154282301"],"related_works":["https://openalex.org/W3196952692","https://openalex.org/W2984708981","https://openalex.org/W2755231872","https://openalex.org/W4300939921","https://openalex.org/W4383097772","https://openalex.org/W2964350391","https://openalex.org/W2964954556","https://openalex.org/W2274287116","https://openalex.org/W3213976941","https://openalex.org/W2897517148"],"abstract_inverted_index":{"The":[0,58],"leakage":[1,120],"of":[2,56,121,192,231],"industrial":[3,122],"VOCs":[4,78,146,186],"poses":[5],"a":[6,89],"serious":[7],"threat":[8],"to":[9,21,30,37,45,88,96,117,136,140,165,179,184,213],"the":[10,27,77,119,126,130,153,159,171,176,182,185,190,193,206,218,223,228],"ecological":[11],"environment":[12],"and":[13,23,144,188,195],"human":[14],"health.":[15],"Traditional":[16],"inhalation-based":[17],"sampling":[18],"requires":[19],"personnel":[20],"enter":[22],"carry":[24],"equipment":[25],"into":[26],"discharge":[28],"area":[29,187],"collect":[31],"polluted":[32],"gases,":[33],"which":[34,51,86],"is":[35,43,156],"likely":[36],"cause":[38],"secondary":[39],"damage.":[40],"Therefore,":[41],"it":[42],"necessary":[44],"develop":[46],"an":[47,70,110],"over-the-horizon":[48],"detection":[49,229],"technology,":[50],"can":[52,79,225],"prevent":[53],"this":[54,106],"kind":[55],"risks.":[57],"recent":[59],"work":[60],"has":[61],"shown":[62],"that":[63,222],"3D":[64,93,112,204,215],"convolution-based":[65],"spatiotemporal":[66,167],"aggregation":[67],"networks":[68,95],"are":[69,209],"effective":[71],"method":[72],"for":[73,91],"gas":[74],"detection.":[75],"However,":[76],"only":[80],"be":[81],"imaged":[82],"under":[83,100],"infrared":[84,101],"cameras,":[85],"leads":[87],"challenge":[90],"mainstream":[92],"convolutional":[94,113],"effectively":[97,226],"extract":[98],"features":[99,148,160],"gray-scale":[102],"images.":[103],"To":[104],"overcome":[105],"issue,":[107],"we":[108],"propose":[109],"asymmetric":[111,203],"neural":[114],"network":[115,224],"(A3DNet)":[116],"detect":[118],"VOCs.":[123,232],"Different":[124],"from":[125],"traditional":[127,214],"3D-CNN":[128],"method,":[129],"A3DNet":[131,174],"uses":[132],"weak":[133],"temporal":[134],"attention":[135,183],"give":[137],"higher":[138],"weights":[139],"frames":[141],"with":[142,158],"motion,":[143],"extracts":[145],"spatial":[147],"by":[149,162],"2D":[150,163],"convolution.":[151,216],"And":[152],"weighted":[154],"frame":[155],"combined":[157],"extracted":[161],"convolution":[164],"obtain":[166],"aggregated":[168],"features.":[169],"At":[170],"same":[172],"time,":[173],"employs":[175],"residual":[177],"connection":[178],"further":[180],"strengthen":[181],"alleviate":[189],"effect":[191],"background":[194],"other":[196],"moving":[197],"foregrounds":[198],"disturbance.":[199],"By":[200],"using":[201],"our":[202],"convolution,":[205],"training":[207],"parameters":[208],"greatly":[210],"reduced":[211],"compared":[212],"Finally,":[217],"extensive":[219],"experiments":[220],"show":[221],"improve":[227],"accuracy":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}