{"id":"https://openalex.org/W4318147143","doi":"https://doi.org/10.1109/bigdata55660.2022.10020603","title":"Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring","display_name":"Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318147143","doi":"https://doi.org/10.1109/bigdata55660.2022.10020603"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020603","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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 IEEE International Conference on Big Data (Big Data)","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/A5076598286","display_name":"Arka Daw","orcid":"https://orcid.org/0009-0006-3319-1271"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arka Daw","raw_affiliation_strings":["Virginia Tech,Dept. of Computer Science,Blacksburg,United States","Dept. of Computer Science, Virginia Tech, Blacksburg, United States"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Dept. of Computer Science,Blacksburg,United States","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Dept. of Computer Science, Virginia Tech, Blacksburg, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039697877","display_name":"Kyongmin Yeo","orcid":"https://orcid.org/0000-0002-9698-5101"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyongmin Yeo","raw_affiliation_strings":["IBM T.J. Watson Research Center,Yorktown Heights,United States","IBM T.J. Watson Research Center, Yorktown Heights, United States"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center,Yorktown Heights,United States","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T.J. Watson Research Center, Yorktown Heights, United States","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081622450","display_name":"Anuj Karpatne","orcid":"https://orcid.org/0000-0003-1647-3534"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anuj Karpatne","raw_affiliation_strings":["Virginia Tech,Dept. of Computer Science,Blacksburg,United States","Dept. of Computer Science, Virginia Tech, Blacksburg, United States"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Dept. of Computer Science,Blacksburg,United States","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Dept. of Computer Science, Virginia Tech, Blacksburg, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023556527","display_name":"Levente J. Klein","orcid":"https://orcid.org/0000-0001-9497-1403"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Levente Klein","raw_affiliation_strings":["IBM T.J. Watson Research Center,Yorktown Heights,United States","IBM T.J. Watson Research Center, Yorktown Heights, United States"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center,Yorktown Heights,United States","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T.J. Watson Research Center, Yorktown Heights, United States","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076598286"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":2.3235,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89144317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4835","last_page":"4841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10075","display_name":"Atmospheric chemistry and aerosols","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9957000017166138,"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/computer-science","display_name":"Computer science","score":0.5679792165756226},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5606630444526672},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5532101988792419},{"id":"https://openalex.org/keywords/methane","display_name":"Methane","score":0.5081009864807129},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4780288636684418},{"id":"https://openalex.org/keywords/point-source","display_name":"Point source","score":0.4696606397628784},{"id":"https://openalex.org/keywords/greenhouse-gas","display_name":"Greenhouse gas","score":0.464366614818573},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4470215439796448},{"id":"https://openalex.org/keywords/dispersion","display_name":"Dispersion (optics)","score":0.4376310408115387},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4221256375312805},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4144956171512604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1630224883556366},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13831225037574768},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.127760648727417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12373119592666626},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.11155727505683899},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0998370349407196},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.09262830018997192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5679792165756226},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5606630444526672},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5532101988792419},{"id":"https://openalex.org/C516920438","wikidata":"https://www.wikidata.org/wiki/Q37129","display_name":"Methane","level":2,"score":0.5081009864807129},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4780288636684418},{"id":"https://openalex.org/C103783831","wikidata":"https://www.wikidata.org/wiki/Q2552709","display_name":"Point source","level":2,"score":0.4696606397628784},{"id":"https://openalex.org/C47737302","wikidata":"https://www.wikidata.org/wiki/Q167336","display_name":"Greenhouse gas","level":2,"score":0.464366614818573},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4470215439796448},{"id":"https://openalex.org/C177562468","wikidata":"https://www.wikidata.org/wiki/Q182893","display_name":"Dispersion (optics)","level":2,"score":0.4376310408115387},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4221256375312805},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4144956171512604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1630224883556366},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13831225037574768},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.127760648727417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12373119592666626},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.11155727505683899},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0998370349407196},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.09262830018997192},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020603","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1560021816","https://openalex.org/W2008371205","https://openalex.org/W2042099173","https://openalex.org/W2084326782","https://openalex.org/W2121311122","https://openalex.org/W2125273437","https://openalex.org/W2139010298","https://openalex.org/W2153119498","https://openalex.org/W2798365772","https://openalex.org/W2899370903","https://openalex.org/W2907583870","https://openalex.org/W3034672970","https://openalex.org/W3093682330","https://openalex.org/W3097532568","https://openalex.org/W3112118288","https://openalex.org/W3128881494","https://openalex.org/W3141797743","https://openalex.org/W3208290324","https://openalex.org/W3212628903","https://openalex.org/W4323647188","https://openalex.org/W6742058293","https://openalex.org/W6750997056","https://openalex.org/W6763070779","https://openalex.org/W6785288635","https://openalex.org/W6803885258"],"related_works":["https://openalex.org/W2320243538","https://openalex.org/W2094288906","https://openalex.org/W2474431918","https://openalex.org/W4378716885","https://openalex.org/W2329184717","https://openalex.org/W2364728108","https://openalex.org/W1964473174","https://openalex.org/W1981223975","https://openalex.org/W2898107337","https://openalex.org/W1965175117"],"abstract_inverted_index":{"Inferring":[0],"the":[1,29,33,42,51,56,65,72,79,100,108,135,147],"source":[2,57],"information":[3],"of":[4,32,36,64,99,107,134,152],"greenhouse":[5],"gases,":[6],"such":[7,37,111],"as":[8,112,142,144],"methane,":[9],"from":[10,118,138],"spatially":[11,66],"sparse":[12,67,119,139],"sensor":[13,80,120,140],"observations":[14],"is":[15,25,39,46,75,85,128],"an":[16],"essential":[17],"element":[18],"in":[19],"mitigating":[20],"climate":[21],"change.":[22],"While":[23],"it":[24,45],"well":[26,143],"understood":[27],"that":[28,94,124],"complex":[30],"behavior":[31],"atmospheric":[34],"dispersion":[35],"pollutants":[38],"governed":[40],"by":[41],"Advection-Diffusion":[43],"equation,":[44],"difficult":[47],"to":[48,54,130],"directly":[49],"apply":[50],"governing":[52],"equations":[53],"identify":[55,104],"location":[58,148],"and":[59,68,82,103,149],"magnitude":[60],"(inverse":[61],"problem)":[62],"because":[63],"noisy":[69],"observations,":[70],"i.e.,":[71],"pollution":[73,109,154],"concentration":[74,101],"known":[76],"only":[77],"at":[78],"locations":[81],"sensors":[83],"sensitivity":[84],"limited.":[86],"Here,":[87],"we":[88],"develop":[89],"a":[90],"multi-task":[91],"learning":[92],"framework":[93,127],"can":[95],"provide":[96],"high-fidelity":[97],"reconstruction":[98,133],"field":[102],"emission":[105,115,150],"characteristics":[106],"sources":[110],"their":[113],"location,":[114],"strength,":[116],"etc.":[117],"observations.":[121],"We":[122],"demonstrate":[123],"our":[125],"proposed":[126],"able":[129],"achieve":[131],"accurate":[132],"methane":[136],"concentrations":[137],"measurements":[141],"precisely":[145],"pin-point":[146],"strength":[151],"these":[153],"sources.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
