{"id":"https://openalex.org/W2928318647","doi":"https://doi.org/10.3390/s19071644","title":"Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks","display_name":"Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-04-06","ids":{"openalex":"https://openalex.org/W2928318647","doi":"https://doi.org/10.3390/s19071644","mag":"2928318647","pmid":"https://pubmed.ncbi.nlm.nih.gov/30959877"},"language":"en","primary_location":{"id":"doi:10.3390/s19071644","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19071644","pdf_url":"https://www.mdpi.com/1424-8220/19/7/1644/pdf?version=1554533539","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/1424-8220/19/7/1644/pdf?version=1554533539","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046320461","display_name":"Guto Leoni Santos","orcid":"https://orcid.org/0000-0002-0257-4214"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Guto Leoni Santos","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife 50670-901, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife 50670-901, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064643268","display_name":"Patr\u00edcia Takako Endo","orcid":"https://orcid.org/0000-0002-9163-5583"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]},{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR","IE"],"is_corresponding":true,"raw_author_name":"Patricia Takako Endo","raw_affiliation_strings":["Business School, Dublin City University, Dublin 9, Ireland","Universidade de Pernambuco, Recife 50100-010, Brazil"],"affiliations":[{"raw_affiliation_string":"Business School, Dublin City University, Dublin 9, Ireland","institution_ids":["https://openalex.org/I42934936"]},{"raw_affiliation_string":"Universidade de Pernambuco, Recife 50100-010, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042035756","display_name":"Kayo Henrique de Carvalho Monteiro","orcid":"https://orcid.org/0000-0002-7153-9906"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Kayo Henrique de Carvalho Monteiro","raw_affiliation_strings":["Universidade de Pernambuco, Recife 50100-010, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade de Pernambuco, Recife 50100-010, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088457412","display_name":"\u00c9lisson da Silva Rocha","orcid":"https://orcid.org/0000-0002-7742-2995"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Elisson da Silva Rocha","raw_affiliation_strings":["Universidade de Pernambuco, Recife 50100-010, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade de Pernambuco, Recife 50100-010, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079474193","display_name":"Ivanovitch Silva","orcid":"https://orcid.org/0000-0002-0116-6489"},"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":"Ivanovitch Silva","raw_affiliation_strings":["Universidade Federal do Rio Grande do Norte, Natal 59078-970, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Norte, Natal 59078-970, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004072574","display_name":"Theo Lynn","orcid":"https://orcid.org/0000-0001-9284-7580"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Theo Lynn","raw_affiliation_strings":["Business School, Dublin City University, Dublin 9, Ireland"],"affiliations":[{"raw_affiliation_string":"Business School, Dublin City University, Dublin 9, Ireland","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064643268"],"corresponding_institution_ids":["https://openalex.org/I42934936","https://openalex.org/I71437568"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":13.8961,"has_fulltext":false,"cited_by_count":230,"citation_normalized_percentile":{"value":0.99067267,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"19","issue":"7","first_page":"1644","last_page":"1644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9883000254631042,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8064975738525391},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6963551044464111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907463073730469},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.625624418258667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5912485122680664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5513005256652832},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5060316920280457},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4685700237751007},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4235234558582306},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4105261564254761},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.342143177986145},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3296998143196106},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18232214450836182}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8064975738525391},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6963551044464111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907463073730469},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.625624418258667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5912485122680664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5513005256652832},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5060316920280457},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4685700237751007},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4235234558582306},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4105261564254761},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.342143177986145},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3296998143196106},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18232214450836182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","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}],"mesh":[{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D015374","descriptor_name":"Biosensing Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015374","descriptor_name":"Biosensing Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015374","descriptor_name":"Biosensing Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s19071644","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19071644","pdf_url":"https://www.mdpi.com/1424-8220/19/7/1644/pdf?version=1554533539","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:30959877","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30959877","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:doaj.org/article:7d496c32cae04ac9aa0eb8b5376801c8","is_oa":true,"landing_page_url":"https://doaj.org/article/7d496c32cae04ac9aa0eb8b5376801c8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 19, Iss 7, p 1644 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/7/1644/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19071644","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","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6480090","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6480090","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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/s19071644","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19071644","pdf_url":"https://www.mdpi.com/1424-8220/19/7/1644/pdf?version=1554533539","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":0.5799999833106995,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2928318647.pdf","grobid_xml":"https://content.openalex.org/works/W2928318647.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W114517082","https://openalex.org/W1485009520","https://openalex.org/W1677182931","https://openalex.org/W2008854521","https://openalex.org/W2069143585","https://openalex.org/W2074099390","https://openalex.org/W2076063813","https://openalex.org/W2081241079","https://openalex.org/W2247209766","https://openalex.org/W2270470215","https://openalex.org/W2509065397","https://openalex.org/W2620760558","https://openalex.org/W2765386572","https://openalex.org/W2767039516","https://openalex.org/W2768702723","https://openalex.org/W2784031075","https://openalex.org/W2791268924","https://openalex.org/W2798222646","https://openalex.org/W2799784710","https://openalex.org/W2802861902","https://openalex.org/W2804907753","https://openalex.org/W2809674292","https://openalex.org/W2896783937","https://openalex.org/W2909645133","https://openalex.org/W2919115771","https://openalex.org/W2953118818","https://openalex.org/W3098357269","https://openalex.org/W6604254268"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2359831757","https://openalex.org/W2241383474","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Human":[0],"falls":[1],"are":[2,39,118,126],"a":[3,40,65,140],"global":[4],"public":[5],"health":[6,26,44],"issue":[7],"resulting":[8],"in":[9,21,56,149],"over":[10],"37.3":[11],"million":[12],"severe":[13],"injuries":[14],"and":[15,28,37,59,76,94,103,113,144],"646,000":[16],"deaths":[17],"yearly.":[18],"Falls":[19],"result":[20],"direct":[22],"financial":[23],"cost":[24],"to":[25,30,120],"systems":[27],"indirectly":[29],"society":[31],"productivity.":[32],"Unsurprisingly,":[33],"human":[34],"fall":[35,54],"detection":[36,55],"prevention":[38],"major":[41],"focus":[42],"of":[43,70,142],"research.":[45,97],"In":[46],"this":[47,150],"article,":[48],"we":[49],"consider":[50],"deep":[51,82],"learning":[52,83],"for":[53,100,147],"an":[57],"IoT":[58],"fog":[60],"computing":[61],"environment.":[62],"We":[63,85],"propose":[64],"Convolutional":[66],"Neural":[67],"Network":[68],"composed":[69],"three":[71,77,90],"convolutional":[72],"layers,":[73],"two":[74],"maxpool,":[75],"fully-connected":[78],"layers":[79],"as":[80],"our":[81],"model.":[84],"evaluate":[86,121],"its":[87],"performance":[88],"using":[89,129],"open":[91],"data":[92,130],"sets":[93],"against":[95],"extant":[96],"Our":[98],"approach":[99],"resolving":[101],"dimensionality":[102],"modelling":[104],"simplicity":[105],"issues":[106],"is":[107],"outlined.":[108],"Accuracy,":[109],"precision,":[110],"sensitivity,":[111],"specificity,":[112],"the":[114,133],"Matthews":[115],"Correlation":[116],"Coefficient":[117],"used":[119],"performance.":[122],"The":[123,136],"best":[124],"results":[125],"achieved":[127],"when":[128],"augmentation":[131],"during":[132],"training":[134],"process.":[135],"paper":[137],"concludes":[138],"with":[139],"discussion":[141],"challenges":[143],"future":[145],"directions":[146],"research":[148],"domain.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":56},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":7}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}