{"id":"https://openalex.org/W4412964881","doi":"https://doi.org/10.1109/i2mtc62753.2025.11078962","title":"Gas Component Strategy and Signal Graph Attention Network for Enhanced Gas Concentration Estimation","display_name":"Gas Component Strategy and Signal Graph Attention Network for Enhanced Gas Concentration Estimation","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4412964881","doi":"https://doi.org/10.1109/i2mtc62753.2025.11078962"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc62753.2025.11078962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc62753.2025.11078962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5101523962","display_name":"Ding Wang","orcid":"https://orcid.org/0009-0001-8520-8446"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ding Wang","raw_affiliation_strings":["Tongji University,College of Electronic and Information Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Tongji University,College of Electronic and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043904965","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0003-3665-8122"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["Tongji University,College of Electronic and Information Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Tongji University,College of Electronic and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354477","display_name":"Haiyan Wang","orcid":"https://orcid.org/0009-0001-7246-431X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Wang","raw_affiliation_strings":["Tongji University,College of Electronic and Information Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Tongji University,College of Electronic and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024972975","display_name":"Huilin Yin","orcid":"https://orcid.org/0000-0002-8507-015X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huilin Yin","raw_affiliation_strings":["Tongji University,College of Electronic and Information Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Tongji University,College of Electronic and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435846","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0877-6271"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Tongji University,College of Electronic and Information Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Tongji University,College of Electronic and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055954787","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0002-3526-5856"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["Tongji University,School of Automotive Studies,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Automotive Studies,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101523962"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.6954,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72905399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T10461","display_name":"Gas Sensing Nanomaterials and Sensors","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.627721905708313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5090858340263367},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4660692512989044},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12681818008422852},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08885443210601807},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.07712426781654358}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.627721905708313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5090858340263367},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4660692512989044},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12681818008422852},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08885443210601807},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.07712426781654358}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc62753.2025.11078962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc62753.2025.11078962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W3002514492","https://openalex.org/W3195764267","https://openalex.org/W3198991729","https://openalex.org/W4205323638","https://openalex.org/W4205919232","https://openalex.org/W4320913262","https://openalex.org/W4382449675","https://openalex.org/W4386177763","https://openalex.org/W4389252500","https://openalex.org/W4392111803","https://openalex.org/W4393159722","https://openalex.org/W4400114378"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"advancements":[1],"in":[2,12,154],"intelligent":[3],"sensing":[4],"technology,":[5],"artificial":[6,151],"olfactory":[7,152],"systems":[8,153],"are":[9],"increasingly":[10],"essential":[11],"various":[13],"applications.":[14],"However,":[15],"conventional":[16],"concentration":[17,103,145],"estimation":[18],"methods":[19],"face":[20],"notable":[21],"challenges,":[22],"such":[23],"as":[24],"intensive":[25],"training":[26,57],"demands,":[27],"high":[28],"memory":[29],"consumption,":[30],"and":[31,55,96,123,134,139],"limited":[32],"scalability,":[33],"all":[34],"of":[35,130,150],"which":[36],"restrict":[37],"their":[38],"industrial":[39,155],"applicability.":[40],"To":[41],"overcome":[42],"these":[43],"limitations,":[44],"we":[45,73],"propose":[46],"a":[47,81,108,137],"Gas":[48],"Component":[49],"Strategy":[50],"(GCS)":[51],"that":[52,86,112],"enhances":[53],"scalability":[54],"reduces":[56],"complexity":[58],"by":[59],"estimating":[60],"concentrations":[61],"via":[62],"dedicated":[63],"models":[64,87],"for":[65,142],"individual":[66],"gas":[67,102,144],"components.":[68],"Building":[69],"on":[70,107],"this":[71],"strategy,":[72],"introduce":[74],"the":[75,148],"Signal":[76],"Graph":[77,82],"Attention":[78],"Network":[79],"(SGAN),":[80],"Neural":[83],"Network-based":[84],"approach":[85],"dynamic":[88],"interactions":[89],"among":[90],"sensors.":[91],"SGAN":[92,113,135],"captures":[93],"intricate":[94],"spatial":[95],"temporal":[97],"dependencies,":[98],"enabling":[99],"more":[100],"accurate":[101,140],"estimations.":[104],"Experimental":[105],"evaluations":[106],"custom":[109],"dataset":[110],"demonstrate":[111],"outperforms":[114],"existing":[115],"models,":[116],"achieving":[117],"up":[118],"to":[119],"35%":[120],"lower":[121],"MAE":[122],"RMSE,":[124],"with":[125],"R<sup":[126],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[127],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[128],"improvements":[129],"approximately":[131],"5%.":[132],"GCS":[133],"offer":[136],"scalable":[138],"solution":[141],"precise":[143],"estimation,":[146],"advancing":[147],"applicability":[149],"settings.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}