{"id":"https://openalex.org/W3203989796","doi":"https://doi.org/10.47577/technium.v3i8.4554","title":"Deep Neural Network Concepts for Classification using Convolutional Neural Network: A Systematic Review and Evaluation","display_name":"Deep Neural Network Concepts for Classification using Convolutional Neural Network: A Systematic Review and Evaluation","publication_year":2021,"publication_date":"2021-09-28","ids":{"openalex":"https://openalex.org/W3203989796","doi":"https://doi.org/10.47577/technium.v3i8.4554","mag":"3203989796"},"language":"en","primary_location":{"id":"doi:10.47577/technium.v3i8.4554","doi":"https://doi.org/10.47577/technium.v3i8.4554","is_oa":true,"landing_page_url":"https://doi.org/10.47577/technium.v3i8.4554","pdf_url":"https://techniumscience.com/index.php/technium/article/view/4554/1632","source":{"id":"https://openalex.org/S4210223827","display_name":"Technium Romanian Journal of Applied Sciences and Technology","issn_l":"2668-778X","issn":["2668-778X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technium Romanian Journal of Applied Sciences and Technology","raw_type":"journal-article"},"volume":null,"type":"review","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://techniumscience.com/index.php/technium/article/view/4554/1632","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062612103","display_name":"Mohammad Gouse Galety","orcid":"https://orcid.org/0000-0003-1666-2001","observed_orcids":["https://orcid.org/0000-0003-1666-2001"]},"institutions":[{"id":"https://openalex.org/I4387156135","display_name":"Catholic University in Erbil","ror":"https://ror.org/0257v3m41","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4387156135"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Mohammad Galety","raw_affiliation_strings":["Department of Information Technology, Catholic University in Erbil, Erbil, Kurdistan Region, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Catholic University in Erbil, Erbil, Kurdistan Region, Iraq","institution_ids":["https://openalex.org/I4387156135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088941733","display_name":"Firas Hussam Al Mukthar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387156135","display_name":"Catholic University in Erbil","ror":"https://ror.org/0257v3m41","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4387156135"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Firas Hussam Al Mukthar","raw_affiliation_strings":["Department of Information Technology, Catholic University in Erbil, Erbil, Kurdistan Region, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Catholic University in Erbil, Erbil, Kurdistan Region, Iraq","institution_ids":["https://openalex.org/I4387156135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001389797","display_name":"Rebaz Jamal Maaroof","orcid":"https://orcid.org/0000-0002-6007-5536","observed_orcids":["https://orcid.org/0000-0002-6007-5536"]},"institutions":[{"id":"https://openalex.org/I4387156135","display_name":"Catholic University in Erbil","ror":"https://ror.org/0257v3m41","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4387156135"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Rebaz Jamal Maaroof","raw_affiliation_strings":["Department of Information Technology, Catholic University in Erbil, Erbil, Kurdistan Region, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Catholic University in Erbil, Erbil, Kurdistan Region, Iraq","institution_ids":["https://openalex.org/I4387156135"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016552920","display_name":"Fanar Fareed Hanna Rofoo","orcid":"https://orcid.org/0000-0002-0250-7222","observed_orcids":["https://orcid.org/0000-0002-0250-7222"]},"institutions":[{"id":"https://openalex.org/I4387156135","display_name":"Catholic University in Erbil","ror":"https://ror.org/0257v3m41","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4387156135"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Fanar Rofoo","raw_affiliation_strings":["Department of Information Technology, Catholic University in Erbil, Erbil, Kurdistan Region, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Catholic University in Erbil, Erbil, Kurdistan Region, Iraq","institution_ids":["https://openalex.org/I4387156135"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4387156135"],"apc_list":null,"apc_paid":null,"fwci":0.2939,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.41798942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"3","issue":"8","first_page":"58","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9961000084877014,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9961000084877014,"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/T10320","display_name":"Neural Networks and Applications","score":0.0015999999595806003,"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/T13674","display_name":"Computer Science and Engineering","score":0.00039999998989515007,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":1.0},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.9940000176429749},{"id":"https://openalex.org/keywords/covering-arrays","display_name":"covering arrays","score":0.8330000042915344},{"id":"https://openalex.org/keywords/neural-network-parameter-selection","display_name":"neural network parameter selection","score":0.7369999885559082},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9409999847412109},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.4970000088214874},{"id":"https://openalex.org/keywords/convolutional-neural-network-architecture","display_name":"convolutional neural network architecture","score":0.3930000066757202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7852688431739807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.773812472820282},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7652353048324585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6071496605873108},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5745008587837219},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5454526543617249},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5362662076950073},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5333898663520813},{"id":"https://openalex.org/C173079777","wikidata":"https://www.wikidata.org/wiki/Q4299350","display_name":"Nervous system network models","level":5,"score":0.4669789969921112},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45769697427749634},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4413287341594696},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42874300479888916},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.3663375675678253},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.2694842219352722},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.47577/technium.v3i8.4554","doi":"https://doi.org/10.47577/technium.v3i8.4554","is_oa":true,"landing_page_url":"https://doi.org/10.47577/technium.v3i8.4554","pdf_url":"https://techniumscience.com/index.php/technium/article/view/4554/1632","source":{"id":"https://openalex.org/S4210223827","display_name":"Technium Romanian Journal of Applied Sciences and Technology","issn_l":"2668-778X","issn":["2668-778X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technium Romanian Journal of Applied Sciences and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1e59eb159c8c4ecd8e144eb0a269e097","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/1e59eb159c8c4ecd8e144eb0a269e097","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Technium, Vol 3, Iss 8 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.47577/technium.v3i8.4554","doi":"https://doi.org/10.47577/technium.v3i8.4554","is_oa":true,"landing_page_url":"https://doi.org/10.47577/technium.v3i8.4554","pdf_url":"https://techniumscience.com/index.php/technium/article/view/4554/1632","source":{"id":"https://openalex.org/S4210223827","display_name":"Technium Romanian Journal of Applied Sciences and Technology","issn_l":"2668-778X","issn":["2668-778X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technium Romanian Journal of Applied Sciences and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3203989796.pdf","grobid_xml":"https://content.openalex.org/works/W3203989796.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2945367617","https://openalex.org/W2986445670","https://openalex.org/W2997344118","https://openalex.org/W2997692375","https://openalex.org/W3035941285","https://openalex.org/W3143042575","https://openalex.org/W3174557638","https://openalex.org/W4388424110","https://openalex.org/W4396219753","https://openalex.org/W6903812094"],"related_works":["https://openalex.org/W3109573377","https://openalex.org/W4392400224","https://openalex.org/W3045515783","https://openalex.org/W4386937495","https://openalex.org/W4386337757","https://openalex.org/W4384103574","https://openalex.org/W3046336525","https://openalex.org/W2895829779","https://openalex.org/W4226080733","https://openalex.org/W7130607546"],"abstract_inverted_index":{"In":[0,27],"recent":[1],"years,":[2],"artificial":[3,40],"intelligence":[4,41],"(AI)":[5],"has":[6,98],"piqued":[7],"the":[8,54,78,100,111,122,125,129,133],"curiosity":[9],"of":[10,39,53,58,63,75,83,102,113,124,132,139],"researchers.":[11],"Convolutional":[12,47],"Neural":[13,48],"Networks":[14],"(CNN)":[15,50],"is":[16,51,66,85],"a":[17,43,103],"deep":[18],"learning":[19,30],"(DL)":[20],"approach":[21],"commonly":[22],"utilized":[23],"to":[24,67,91,109,121],"solve":[25],"problems.":[26],"standard":[28],"machine":[29],"tasks,":[31],"biologically":[32],"inspired":[33],"computational":[34],"models":[35],"surpass":[36],"prior":[37],"types":[38,57],"by":[42],"considerable":[44],"margin.":[45],"The":[46,61],"Network":[49],"one":[52],"most":[55],"stunning":[56],"ANN":[59],"architecture.":[60],"goal":[62],"this":[64,137],"research":[65],"provide":[68],"information":[69],"and":[70,81],"expertise":[71],"on":[72],"many":[73],"areas":[74],"CNN.":[76],"Understanding":[77],"concepts,":[79],"benefits,":[80],"limitations":[82],"CNN":[84],"critical":[86],"for":[87,116,128,136],"maximizing":[88],"its":[89],"potential":[90],"improve":[92],"image":[93],"categorization":[94],"performance.":[95],"This":[96],"article":[97],"integrated":[99],"usage":[101],"mathematical":[104],"object":[105],"called":[106],"covering":[107],"arrays":[108],"construct":[110],"set":[112],"ideal":[114],"parameters":[115,134],"neural":[117,140],"network":[118],"design":[119],"due":[120],"complexity":[123],"tuning":[126],"process":[127],"correct":[130],"selection":[131],"used":[135],"form":[138],"network.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-10-11T00:00:00"}
