{"id":"https://openalex.org/W4289529024","doi":"https://doi.org/10.3390/s22155730","title":"Convolutional Neural Network Applied to SARS-CoV-2 Sequence Classification","display_name":"Convolutional Neural Network Applied to SARS-CoV-2 Sequence Classification","publication_year":2022,"publication_date":"2022-07-31","ids":{"openalex":"https://openalex.org/W4289529024","doi":"https://doi.org/10.3390/s22155730","pmid":"https://pubmed.ncbi.nlm.nih.gov/35957287"},"language":"en","primary_location":{"id":"doi:10.3390/s22155730","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22155730","pdf_url":"https://www.mdpi.com/1424-8220/22/15/5730/pdf?version=1659316959","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/1424-8220/22/15/5730/pdf?version=1659316959","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033673256","display_name":"Gabriel Bezerra Motta C\u00e2mara","orcid":"https://orcid.org/0000-0002-5736-0782"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel B. M. C\u00e2mara","raw_affiliation_strings":["Bioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-5736-0782","affiliations":[{"raw_affiliation_string":"Bioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075193485","display_name":"Maria G. F. Coutinho","orcid":"https://orcid.org/0000-0001-8167-5568"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Maria G. F. Coutinho","raw_affiliation_strings":["Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-8167-5568","affiliations":[{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078975226","display_name":"Lucileide M. D. da Silva","orcid":"https://orcid.org/0000-0001-6282-9744"},"institutions":[{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]},{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucileide M. D. da Silva","raw_affiliation_strings":["Federal Institute of Education, Science and Technology of Rio Grande do Norte, Paraiso, Santa Cruz 59200-000, RN, Brazil","Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-6282-9744","affiliations":[{"raw_affiliation_string":"Federal Institute of Education, Science and Technology of Rio Grande do Norte, Paraiso, Santa Cruz 59200-000, RN, Brazil","institution_ids":["https://openalex.org/I3020002803"]},{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055370294","display_name":"Walter V. do N. Gadelha","orcid":"https://orcid.org/0000-0001-8428-2583"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Walter V. do N. Gadelha","raw_affiliation_strings":["Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-8428-2583","affiliations":[{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058658634","display_name":"Matheus F. Torquato","orcid":"https://orcid.org/0000-0001-6356-3538"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Matheus F. Torquato","raw_affiliation_strings":["Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-6356-3538","affiliations":[{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007408877","display_name":"Raquel de Melo Barbosa","orcid":"https://orcid.org/0000-0003-3798-5512"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR","ES"],"is_corresponding":true,"raw_author_name":"Raquel de M. Barbosa","raw_affiliation_strings":["Department of Pharmacy and Pharmaceutical Technology, University of Granada, 18071 Granada, Spain","Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-3798-5512","affiliations":[{"raw_affiliation_string":"Department of Pharmacy and Pharmaceutical Technology, University of Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048556407","display_name":"Marcelo A. C. Fernandes","orcid":"https://orcid.org/0000-0001-7536-2506"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Marcelo A. C. Fernandes","raw_affiliation_strings":["Bioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-7536-2506","affiliations":[{"raw_affiliation_string":"Bioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5007408877","https://openalex.org/A5048556407"],"corresponding_institution_ids":["https://openalex.org/I173304897","https://openalex.org/I35046152"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.7325,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.84745404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"22","issue":"15","first_page":"5730","last_page":"5730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10118","display_name":"SARS-CoV-2 and COVID-19 Research","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.609729528427124},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5786281824111938},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.5419967174530029},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.535436749458313},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5011410713195801},{"id":"https://openalex.org/keywords/virus","display_name":"Virus","score":0.46787190437316895},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4658582806587219},{"id":"https://openalex.org/keywords/whole-genome-sequencing","display_name":"Whole genome sequencing","score":0.4531573951244354},{"id":"https://openalex.org/keywords/coronavirus","display_name":"Coronavirus","score":0.43205520510673523},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.41715484857559204},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.4147634208202362},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4012235403060913},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.37913525104522705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3253691792488098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30116409063339233},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.30111372470855713},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.2206786572933197},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.21696531772613525},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20385205745697021},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.11098736524581909}],"concepts":[{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.609729528427124},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5786281824111938},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.5419967174530029},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.535436749458313},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.5011410713195801},{"id":"https://openalex.org/C2522874641","wikidata":"https://www.wikidata.org/wiki/Q808","display_name":"Virus","level":2,"score":0.46787190437316895},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4658582806587219},{"id":"https://openalex.org/C24432333","wikidata":"https://www.wikidata.org/wiki/Q2068526","display_name":"Whole genome sequencing","level":4,"score":0.4531573951244354},{"id":"https://openalex.org/C2777648638","wikidata":"https://www.wikidata.org/wiki/Q57751738","display_name":"Coronavirus","level":5,"score":0.43205520510673523},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.41715484857559204},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.4147634208202362},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4012235403060913},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.37913525104522705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3253691792488098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30116409063339233},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.30111372470855713},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2206786572933197},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.21696531772613525},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20385205745697021},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.11098736524581909},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[{"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":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":6,"locations":[{"id":"doi:10.3390/s22155730","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22155730","pdf_url":"https://www.mdpi.com/1424-8220/22/15/5730/pdf?version=1659316959","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:35957287","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35957287","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:oai:digibug.ugr.es:10481/76878","is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/76878","pdf_url":null,"source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"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":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:fe77f99658d540d18ab4b0e3748d7b98","is_oa":true,"landing_page_url":"https://doaj.org/article/fe77f99658d540d18ab4b0e3748d7b98","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 22, Iss 15, p 5730 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/15/5730/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22155730","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 22; Issue 15; Pages: 5730","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9371030","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9371030","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/s22155730","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22155730","pdf_url":"https://www.mdpi.com/1424-8220/22/15/5730/pdf?version=1659316959","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":[{"score":0.8799999952316284,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320325185","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289529024.pdf","grobid_xml":"https://content.openalex.org/works/W4289529024.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1505191356","https://openalex.org/W2015292449","https://openalex.org/W2016453697","https://openalex.org/W2055043387","https://openalex.org/W2057987200","https://openalex.org/W2074231493","https://openalex.org/W2087064593","https://openalex.org/W2104267362","https://openalex.org/W2129103781","https://openalex.org/W2171963266","https://openalex.org/W2311607323","https://openalex.org/W2343416635","https://openalex.org/W2498881748","https://openalex.org/W2605595174","https://openalex.org/W2761430568","https://openalex.org/W2768956845","https://openalex.org/W2780936345","https://openalex.org/W2855293443","https://openalex.org/W2901218091","https://openalex.org/W2903899730","https://openalex.org/W2921356394","https://openalex.org/W2926763004","https://openalex.org/W2935703330","https://openalex.org/W2949759087","https://openalex.org/W2950237782","https://openalex.org/W2950270741","https://openalex.org/W2962807110","https://openalex.org/W2973098646","https://openalex.org/W2996603765","https://openalex.org/W3001171417","https://openalex.org/W3003110834","https://openalex.org/W3003217347","https://openalex.org/W3004280078","https://openalex.org/W3006487409","https://openalex.org/W3008299510","https://openalex.org/W3009335299","https://openalex.org/W3011127849","https://openalex.org/W3011176674","https://openalex.org/W3011680753","https://openalex.org/W3017886147","https://openalex.org/W3019119825","https://openalex.org/W3027189436","https://openalex.org/W3035085390","https://openalex.org/W3048846953","https://openalex.org/W3113123910","https://openalex.org/W3138762809","https://openalex.org/W3205230425","https://openalex.org/W4236236547","https://openalex.org/W4312067038","https://openalex.org/W6698064614","https://openalex.org/W6774764905"],"related_works":["https://openalex.org/W2373635223","https://openalex.org/W2412355096","https://openalex.org/W1990012352","https://openalex.org/W2431766951","https://openalex.org/W4385969441","https://openalex.org/W127458931","https://openalex.org/W2362266265","https://openalex.org/W3028429280","https://openalex.org/W2557977292","https://openalex.org/W3096227606"],"abstract_inverted_index":{"COVID-19,":[0],"the":[1,5,16,28,37,74,78,81,103,109,113,123,151,154,160,163,170,177,192,204,214,222,254,267,274,277],"illness":[2],"caused":[3],"by":[4,36],"severe":[6],"acute":[7],"respiratory":[8],"syndrome":[9],"coronavirus":[10],"2":[11],"(SARS-CoV-2)":[12,111],"virus":[13,110,278],"belonging":[14],"to":[15,132,242],"Coronaviridade":[17],"family,":[18],"a":[19,34,61,86,129,139,143,208],"single-strand":[20],"positive-sense":[21],"RNA":[22],"genome,":[23],"has":[24,31,60,85,210],"been":[25,32],"spreading":[26],"around":[27],"world":[29],"and":[30,71,90,106,120,135,199,259],"declared":[33],"pandemic":[35],"World":[38],"Health":[39],"Organization.":[40],"On":[41],"17":[42],"January":[43],"2022,":[44],"there":[45],"were":[46,184,216],"more":[47,53,92],"than":[48,54],"329":[49],"million":[50,56],"cases,":[51],"with":[52,218],"5.5":[55],"deaths.":[57],"Although":[58],"COVID-19":[59],"low":[62],"mortality":[63],"rate,":[64],"its":[65,249],"high":[66,87],"capacities":[67],"for":[68,116,195],"contamination,":[69],"spread,":[70],"mutation":[72],"worry":[73],"authorities,":[75],"especially":[76],"after":[77],"emergence":[79],"of":[80,102,108,122,162,179,189,224,229,276],"Omicron":[82],"variant,":[83],"which":[84,264],"transmission":[88],"capacity":[89],"can":[91],"easily":[93],"contaminate":[94],"even":[95],"vaccinated":[96],"people.":[97],"Such":[98],"outbreaks":[99],"require":[100],"elucidation":[101],"taxonomic":[104],"classification":[105,275],"origin":[107],"from":[112,138,176,186,191,203],"genomic":[114],"sequence":[115,141],"strategic":[117],"planning,":[118],"containment,":[119],"treatment":[121],"disease.":[124],"Thus,":[125],"this":[126,261],"work":[127],"proposes":[128],"high-accuracy":[130],"technique":[131],"classify":[133],"viruses":[134,202,235],"other":[136,152,180],"organisms":[137],"genome":[140,164],"using":[142],"deep":[144],"learning":[145],"convolutional":[146],"neural":[147],"network":[148],"(CNN).":[149],"Unlike":[150],"literature,":[153],"proposed":[155,268],"approach":[156],"does":[157],"not":[158],"limit":[159],"length":[161],"sequence.":[165],"The":[166,182],"results":[167,183],"show":[168],"that":[169,266,279],"novel":[171],"proposal":[172],"accurately":[173],"distinguishes":[174],"SARS-CoV-2":[175,190,247],"sequences":[178],"viruses.":[181],"obtained":[185],"1557":[187],"instances":[188],"National":[193],"Center":[194],"Biotechnology":[196],"Information":[197],"(NCBI)":[198],"14,684":[200],"different":[201,220],"Virus-Host":[205],"DB.":[206],"As":[207],"CNN":[209],"several":[211],"changeable":[212],"parameters,":[213],"tests":[215],"performed":[217],"forty-eight":[219],"architectures;":[221],"best":[223],"these":[225],"had":[226],"an":[227],"accuracy":[228,244,262],"91.94":[230],"\u00b1":[231],"2.62%":[232],"in":[233,240,245,273],"classifying":[234,246],"into":[236,248],"their":[237],"realms":[238],"correctly,":[239],"addition":[241],"100%":[243],"respective":[250],"realm,":[251],"Riboviria.":[252],"For":[253],"subsequent":[255],"classifications":[256],"(family,":[257],"genera,":[258],"subgenus),":[260],"increased,":[263],"shows":[265],"architecture":[269],"may":[270],"be":[271],"viable":[272],"causes":[280],"COVID-19.":[281]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
