{"id":"https://openalex.org/W4214922030","doi":"https://doi.org/10.3233/faia220051","title":"Deep Inside Feature Learning for Image Classification Using Transfer Learning Approach","display_name":"Deep Inside Feature Learning for Image Classification Using Transfer Learning Approach","publication_year":2022,"publication_date":"2022-02-28","ids":{"openalex":"https://openalex.org/W4214922030","doi":"https://doi.org/10.3233/faia220051"},"language":"en","primary_location":{"id":"doi:10.3233/faia220051","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia220051","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220051","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220051","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081100964","display_name":"Ranjini Surendran","orcid":null},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ranjini Surendran","raw_affiliation_strings":["Dept. of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"J. Anitha","orcid":null},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J. Anitha","raw_affiliation_strings":["Dept. of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044672544","display_name":"D. Jude Hemanth","orcid":"https://orcid.org/0000-0002-6091-1880"},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. Jude Hemanth","raw_affiliation_strings":["Dept. of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India","institution_ids":["https://openalex.org/I119668213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4607,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58333333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9178000092506409,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9178000092506409,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7845826745033264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.69254469871521},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6620199680328369},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6601437330245972},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6419141888618469},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5641863942146301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5260916948318481},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49965429306030273},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.4595564603805542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.452149897813797},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.449036568403244},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4213674068450928},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41274672746658325},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11389440298080444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08167275786399841}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7845826745033264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69254469871521},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6620199680328369},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6601437330245972},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6419141888618469},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5641863942146301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5260916948318481},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49965429306030273},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.4595564603805542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.452149897813797},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.449036568403244},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4213674068450928},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41274672746658325},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11389440298080444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08167275786399841},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia220051","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia220051","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220051","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia220051","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia220051","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220051","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7200000286102295,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214922030.pdf","grobid_xml":"https://content.openalex.org/works/W4214922030.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1575935080","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1998582365","https://openalex.org/W2015861736","https://openalex.org/W2037227137","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2128154306","https://openalex.org/W2134557905","https://openalex.org/W2141125852","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2400114388","https://openalex.org/W2546302380","https://openalex.org/W4240153047","https://openalex.org/W6674914833","https://openalex.org/W6760385162"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W4293226380","https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W2979740303"],"abstract_inverted_index":{"A":[0],"scene":[1,41],"consists":[2],"of":[3,26,59,68,93,133],"manifold":[4],"objects":[5,15],"and":[6,117],"some":[7],"relations":[8],"among":[9,14],"them.":[10],"Exploring":[11],"the":[12,24,57,78,115,123],"relation":[13],"to":[16,37,71],"acquire":[17],"a":[18,65,73],"meaningful":[19],"understanding":[20],"find":[21],"application":[22],"in":[23,46,83,101,135],"field":[25],"remote":[27],"sensing,":[28],"robotics,":[29],"self":[30],"driving":[31],"cars":[32],"etc.":[33],"Our":[34],"study":[35],"intend":[36],"explore":[38],"one":[39],"such":[40],"activity":[42],"that":[43,75],"can":[44,76],"assist":[45],"resciung":[47],"during":[48],"natural":[49],"disasters":[50],"for":[51],"example,":[52],"flood.":[53,84],"We":[54,85],"have":[55,86],"used":[56],"concept":[58],"deep":[60],"learning":[61,70],"networks":[62],"which":[63,80],"is":[64],"sub":[66],"class":[67],"machine":[69],"develop":[72],"model":[74,112],"detect":[77],"vehicles":[79,100],"got":[81],"drowned":[82],"made":[87],"our":[88,105],"own":[89],"small":[90],"dataset":[91],"consisting":[92],"four":[94],"classes":[95],"with":[96],"100":[97],"images":[98],"relating":[99],"each":[102],"class.":[103],"In":[104],"work":[106],"convolutional":[107],"neural":[108],"network":[109],"based":[110],"pretrained":[111],"resnet101":[113],"learn":[114],"features":[116],"Support":[118],"Vector":[119],"Machines(SVM)":[120],"functions":[121],"as":[122],"classifier.":[124],"This":[125],"approach":[126],"has":[127],"shown":[128],"an":[129],"overall":[130],"success":[131],"rate":[132],"91%":[134],"classification.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}