{"id":"https://openalex.org/W3198618634","doi":"https://doi.org/10.3390/s21186023","title":"Event-Driven Deep Learning for Edge Intelligence (EDL-EI)","display_name":"Event-Driven Deep Learning for Edge Intelligence (EDL-EI)","publication_year":2021,"publication_date":"2021-09-08","ids":{"openalex":"https://openalex.org/W3198618634","doi":"https://doi.org/10.3390/s21186023","mag":"3198618634","pmid":"https://pubmed.ncbi.nlm.nih.gov/34577228"},"language":"en","primary_location":{"id":"doi:10.3390/s21186023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21186023","pdf_url":"https://www.mdpi.com/1424-8220/21/18/6023/pdf?version=1631531321","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/18/6023/pdf?version=1631531321","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055020287","display_name":"Sayed Khushal Shah","orcid":"https://orcid.org/0000-0002-9309-5656"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sayed Khushal Shah","raw_affiliation_strings":["Department of Computer Science and Engineering, University of North Texas, Denton, TX 76207, USA"],"raw_orcid":"https://orcid.org/0000-0002-9309-5656","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of North Texas, Denton, TX 76207, USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061472388","display_name":"Zeenat Tariq","orcid":"https://orcid.org/0000-0002-7129-4267"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeenat Tariq","raw_affiliation_strings":["Department of Computer Science and Engineering, University of North Texas, Denton, TX 76207, USA"],"raw_orcid":"https://orcid.org/0000-0002-7129-4267","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of North Texas, Denton, TX 76207, USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033660101","display_name":"Jeehwan Lee","orcid":"https://orcid.org/0000-0002-9757-5999"},"institutions":[{"id":"https://openalex.org/I89440247","display_name":"Myongji University","ror":"https://ror.org/00s9dpb54","country_code":"KR","type":"education","lineage":["https://openalex.org/I89440247"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeehwan Lee","raw_affiliation_strings":["College of Architecture, Myongji University, Seoul 03674, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Architecture, Myongji University, Seoul 03674, Korea","institution_ids":["https://openalex.org/I89440247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007672179","display_name":"Yugyung Lee","orcid":"https://orcid.org/0000-0002-1619-1695"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yugyung Lee","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Missouri, Kansas City, MO 64110, USA"],"raw_orcid":"https://orcid.org/0000-0002-1619-1695","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Missouri, Kansas City, MO 64110, USA","institution_ids":["https://openalex.org/I75421653"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055020287"],"corresponding_institution_ids":["https://openalex.org/I123534392"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.4662,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.55696154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"18","first_page":"6023","last_page":"6023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9993000030517578,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9527000188827515,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9491999745368958,"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/deep-learning","display_name":"Deep learning","score":0.7222343683242798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7136616110801697},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6740028858184814},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6652035117149353},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6559593677520752},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6356145739555359},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6112366914749146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.527404248714447},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5052939057350159},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.47310781478881836},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4658466577529907},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41067665815353394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39454764127731323},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3515397310256958},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2911619246006012},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.11070623993873596}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7222343683242798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7136616110801697},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6740028858184814},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6652035117149353},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6559593677520752},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6356145739555359},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6112366914749146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.527404248714447},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5052939057350159},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.47310781478881836},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4658466577529907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41067665815353394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39454764127731323},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3515397310256958},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2911619246006012},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.11070623993873596},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003140","descriptor_name":"Communicable Disease Control","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003140","descriptor_name":"Communicable Disease Control","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003140","descriptor_name":"Communicable Disease Control","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003140","descriptor_name":"Communicable Disease Control","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.3390/s21186023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21186023","pdf_url":"https://www.mdpi.com/1424-8220/21/18/6023/pdf?version=1631531321","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34577228","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34577228","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:info:ark/67531/metadc1838949","is_oa":false,"landing_page_url":"https://digital.library.unt.edu/ark:/67531/metadc1838949/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400792","display_name":"University of North Texas Digital Library (University of North Texas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I123534392","host_organization_name":"University of North Texas","host_organization_lineage":["https://openalex.org/I123534392"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, 21(18), Multidisciplinary Digital Publishing Institute, September 8 2021","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:52f8587f5a6d400ca7f1c599aa5f9243","is_oa":true,"landing_page_url":"https://doaj.org/article/52f8587f5a6d400ca7f1c599aa5f9243","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 18, p 6023 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:7357076","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8468758","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/18/6023/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21186023","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 18; Pages: 6023","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8468758","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8468758","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21186023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21186023","pdf_url":"https://www.mdpi.com/1424-8220/21/18/6023/pdf?version=1631531321","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3198618634.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1555243480","https://openalex.org/W1768488937","https://openalex.org/W2056828497","https://openalex.org/W2101713460","https://openalex.org/W2133990480","https://openalex.org/W2156547346","https://openalex.org/W2217137288","https://openalex.org/W2465461484","https://openalex.org/W2523105812","https://openalex.org/W2553915786","https://openalex.org/W2588421568","https://openalex.org/W2611772571","https://openalex.org/W2761901817","https://openalex.org/W2775938423","https://openalex.org/W2781252747","https://openalex.org/W2789849108","https://openalex.org/W2811384326","https://openalex.org/W2911675408","https://openalex.org/W2948608435","https://openalex.org/W2950865323","https://openalex.org/W2967796136","https://openalex.org/W2971544482","https://openalex.org/W2987325452","https://openalex.org/W2990158226","https://openalex.org/W2990548707","https://openalex.org/W2990955039","https://openalex.org/W2998187693","https://openalex.org/W2998696623","https://openalex.org/W3004664793","https://openalex.org/W3004806247","https://openalex.org/W3008057074","https://openalex.org/W3011466106","https://openalex.org/W3021592648","https://openalex.org/W3024771345","https://openalex.org/W3029817943","https://openalex.org/W3035029867","https://openalex.org/W3104315757","https://openalex.org/W3105886168","https://openalex.org/W3110708139","https://openalex.org/W3113668354","https://openalex.org/W3120748058","https://openalex.org/W3136053871","https://openalex.org/W4213086326","https://openalex.org/W4289651319","https://openalex.org/W6737744066","https://openalex.org/W6777298417","https://openalex.org/W6841566289"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3111395152","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379","https://openalex.org/W2893963003"],"abstract_inverted_index":{"Edge":[0],"intelligence":[1],"(EI)":[2],"has":[3,27],"received":[4],"a":[5,105,122,143,189],"lot":[6],"of":[7,24,30,40,65,94,100,121,163,192,250],"interest":[8],"because":[9],"it":[10],"can":[11],"reduce":[12],"latency,":[13],"increase":[14],"efficiency,":[15],"and":[16,32,76,97,138,151,179,215,224],"preserve":[17],"privacy.":[18],"More":[19],"significantly,":[20],"as":[21],"the":[22,62,79,92,98,119,161,164,184,197,202,208,231,236,248,251],"Internet":[23],"Things":[25],"(IoT)":[26],"proliferated,":[28],"billions":[29],"portable":[31],"embedded":[33],"devices":[34],"have":[35,71,188,218,243],"been":[36,244],"interconnected,":[37],"producing":[38],"zillions":[39],"gigabytes":[41],"on":[42,196,230],"edge":[43,58,66,83,116,180],"networks.":[44],"Thus,":[45],"there":[46,86],"is":[47],"an":[48,169],"immediate":[49],"need":[50],"to":[51,60,82,241,246],"push":[52],"AI":[53],"(artificial":[54],"intelligence)":[55],"breakthroughs":[56],"within":[57],"networks":[59],"achieve":[61],"full":[63],"promise":[64],"data":[67,199],"analytics.":[68],"EI":[69],"solutions":[70],"supported":[72],"digital":[73],"technology":[74],"workloads":[75],"applications":[77],"from":[78,226,239],"infrastructure":[80],"level":[81],"networks;":[84],"however,":[85],"are":[87],"still":[88],"many":[89],"challenges":[90],"with":[91,132,176],"heterogeneity":[93],"computational":[95],"capabilities":[96],"spread":[99],"information":[101],"sources.":[102],"We":[103,217],"propose":[104],"novel":[106,123],"event-driven":[107],"deep-learning":[108,228],"framework,":[109,166,186],"called":[110],"EDL-EI":[111,165],"(event-driven":[112],"deep":[113],"learning":[114],"for":[115,146,207],"intelligence),":[117],"via":[118],"design":[120],"event":[124],"model":[125],"by":[126,201],"defining":[127],"events":[128],"using":[129],"correlation":[130],"analysis":[131],"multiple":[133,177],"sensors":[134,178],"in":[135,212],"real-world":[136],"settings":[137],"incorporating":[139],"multi-sensor":[140],"fusion":[141],"techniques,":[142],"transformation":[144],"method":[145],"sensor":[147],"streams":[148],"into":[149],"images,":[150],"lightweight":[152],"2-dimensional":[153],"convolutional":[154],"neural":[155],"network":[156],"(CNN)":[157],"models.":[158],"To":[159,182],"demonstrate":[160],"feasibility":[162],"we":[167,174,187],"presented":[168],"IoT-based":[170],"prototype":[171],"system":[172],"that":[173],"developed":[175],"devices.":[181],"verify":[183],"proposed":[185],"case":[190],"study":[191],"air-quality":[193,233,237],"scenarios":[194],"based":[195],"benchmark":[198],"provided":[200],"USA":[203],"Environmental":[204],"Protection":[205],"Agency":[206],"most":[209],"polluted":[210],"cities":[211],"South":[213],"Korea":[214],"China.":[216],"obtained":[219],"outstanding":[220],"predictive":[221],"accuracy":[222],"(97.65%":[223],"97.19%)":[225],"two":[227],"models":[229],"cities'":[232],"patterns.":[234],"Furthermore,":[235],"changes":[238],"2019":[240],"2020":[242],"analyzed":[245],"check":[247],"effects":[249],"COVID-19":[252],"pandemic":[253],"lockdown.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
