{"id":"https://openalex.org/W3110581716","doi":"https://doi.org/10.1109/isdcs49393.2020.9263001","title":"Image Classification Based on Approximate Wavelet Transform and Transfer Learning on Deep Convolutional Neural Networks","display_name":"Image Classification Based on Approximate Wavelet Transform and Transfer Learning on Deep Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-03-04","ids":{"openalex":"https://openalex.org/W3110581716","doi":"https://doi.org/10.1109/isdcs49393.2020.9263001","mag":"3110581716"},"language":"en","primary_location":{"id":"doi:10.1109/isdcs49393.2020.9263001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdcs49393.2020.9263001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Symposium on Devices, Circuits and Systems (ISDCS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028777972","display_name":"Moumita Acharya","orcid":"https://orcid.org/0000-0002-7571-6594"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Moumita Acharya","raw_affiliation_strings":["Indian Institute of Information Technology, Guwahati, Bongora, Assam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Guwahati, Bongora, Assam, India","institution_ids":["https://openalex.org/I4210089896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018489725","display_name":"Soumyajit Poddar","orcid":"https://orcid.org/0000-0002-3476-2199"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumyajit Poddar","raw_affiliation_strings":["Indian Institute of Information Technology, Guwahati, Bongora, Assam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Guwahati, Bongora, Assam","institution_ids":["https://openalex.org/I4210089896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043543748","display_name":"Amlan Chakrabarti","orcid":"https://orcid.org/0000-0003-4380-3172"},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amlan Chakrabarti","raw_affiliation_strings":["A.K Choudhury School of Information Technology, University of Calcutta, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A.K Choudhury School of Information Technology, University of Calcutta, Kolkata, India","institution_ids":["https://openalex.org/I106542073"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082934529","display_name":"Hafizur Rahaman","orcid":"https://orcid.org/0000-0001-9012-5437"},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hafizur Rahaman","raw_affiliation_strings":["Indian Institute of Engineering Science and Tehnology, Shibpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Engineering Science and Tehnology, Shibpur, India","institution_ids":["https://openalex.org/I98365261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2708,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65958463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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/T10057","display_name":"Face and Expression Recognition","score":0.9965999722480774,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7727919816970825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7645432949066162},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7266141176223755},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7165640592575073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6617988348007202},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5887660384178162},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5866946578025818},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5694549679756165},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.49569404125213623},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.48762980103492737},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4762183129787445},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47352907061576843},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4492647349834442},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41805756092071533},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40454351902008057}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7727919816970825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645432949066162},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7266141176223755},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7165640592575073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6617988348007202},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5887660384178162},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5866946578025818},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5694549679756165},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.49569404125213623},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.48762980103492737},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4762183129787445},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47352907061576843},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4492647349834442},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41805756092071533},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40454351902008057},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isdcs49393.2020.9263001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdcs49393.2020.9263001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Symposium on Devices, Circuits and Systems (ISDCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1597815100","https://openalex.org/W2574314442","https://openalex.org/W2755308505","https://openalex.org/W2971682104","https://openalex.org/W4249752222","https://openalex.org/W6756496675"],"related_works":["https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W2172291505","https://openalex.org/W2023142747","https://openalex.org/W2063036707","https://openalex.org/W2037009764","https://openalex.org/W2501033992","https://openalex.org/W2377605153","https://openalex.org/W2088723847","https://openalex.org/W2094847008"],"abstract_inverted_index":{"In":[0,26,46],"this":[1],"paper":[2,48],"a":[3,11,79,104],"novel":[4],"method":[5],"has":[6],"been":[7],"proposed":[8,96],"based":[9],"on":[10],"combination":[12],"of":[13,40,43,67,107],"approximate":[14],"computing,":[15],"Discrete":[16],"Wavelet":[17],"Transform":[18],"and":[19,74,102,114],"deep":[20,33,80],"neural":[21,82],"network":[22,35,83],"for":[23,64],"image":[24,30],"classification.":[25],"the":[27,38,41,47,52,65,68,95,99,112],"recent":[28],"trends,":[29],"classification":[31,75],"using":[32],"learning":[34],"comes":[36],"under":[37],"limelight":[39],"world":[42],"artificial":[44],"intelligence.":[45],"we":[49,76],"have":[50,77],"applied":[51],"approximation":[53],"through":[54,59],"bit":[55],"width":[56],"reduction":[57],"technique":[58,63],"discrete":[60],"wavelet":[61],"transform":[62],"processing":[66],"input":[69],"database.":[70],"For":[71],"feature":[72],"extraction":[73],"developed":[78],"convolution":[81],"that":[84,88,94],"is":[85],"trained":[86],"with":[87],"preprocesses":[89],"data.":[90],"The":[91],"results":[92],"show":[93],"model":[97],"reduces":[98],"elapsed":[100],"time":[101],"achieve":[103],"good":[105],"rate":[106],"accuracy":[108],"as":[109],"compare":[110],"to":[111],"Alexnet":[113],"Resnet-50":[115],"CNN":[116],"models.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
