{"id":"https://openalex.org/W3048911685","doi":"https://doi.org/10.1109/access.2020.3015493","title":"Partial Gated Feedback Recurrent Neural Network for Data Compression Type Classification","display_name":"Partial Gated Feedback Recurrent Neural Network for Data Compression Type Classification","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3048911685","doi":"https://doi.org/10.1109/access.2020.3015493","mag":"3048911685"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3015493","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3015493","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09163346.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09163346.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024752074","display_name":"H. C. Song","orcid":"https://orcid.org/0000-0003-0681-0904"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyewon Song","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0681-0904","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075664792","display_name":"Beom Kwon","orcid":"https://orcid.org/0000-0002-8345-2189"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Beom Kwon","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8345-2189","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034678169","display_name":"Hoon Yoo","orcid":"https://orcid.org/0000-0001-5919-1989"},"institutions":[{"id":"https://openalex.org/I157264075","display_name":"Sangmyung University","ror":"https://ror.org/01x4whx42","country_code":"KR","type":"education","lineage":["https://openalex.org/I157264075"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoon Yoo","raw_affiliation_strings":["Department of Electronics, Sangmyung University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5919-1989","affiliations":[{"raw_affiliation_string":"Department of Electronics, Sangmyung University, Seoul, South Korea","institution_ids":["https://openalex.org/I157264075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100320181","display_name":"Sanghoon Lee","orcid":"https://orcid.org/0000-0001-9895-5347"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghoon Lee","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9895-5347","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5215,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.728866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"151426","last_page":"151436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9998999834060669,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9998999834060669,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9994999766349792,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.8534495830535889},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.8348790407180786},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.8314843773841858},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6793062686920166},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6693025827407837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4799521267414093},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4367592930793762},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4194786548614502},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33864742517471313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8534495830535889},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8348790407180786},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.8314843773841858},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6793062686920166},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6693025827407837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4799521267414093},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4367592930793762},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4194786548614502},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33864742517471313},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3015493","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3015493","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09163346.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9026d55522cc473bba9f89e4b7f8007f","is_oa":true,"landing_page_url":"https://doaj.org/article/9026d55522cc473bba9f89e4b7f8007f","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":"IEEE Access, Vol 8, Pp 151426-151436 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3015493","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3015493","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09163346.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323103","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85"},{"id":"https://openalex.org/F4320334874","display_name":"Defense Acquisition Program Administration","ror":"https://ror.org/04bjg9m96"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W581677283","https://openalex.org/W616767364","https://openalex.org/W1810943226","https://openalex.org/W1847088711","https://openalex.org/W1924770834","https://openalex.org/W1995875735","https://openalex.org/W2030442875","https://openalex.org/W2064675550","https://openalex.org/W2107745473","https://openalex.org/W2116190532","https://openalex.org/W2129652681","https://openalex.org/W2130942839","https://openalex.org/W2138026948","https://openalex.org/W2154410785","https://openalex.org/W2157331557","https://openalex.org/W2185881956","https://openalex.org/W2616562168","https://openalex.org/W2783165089","https://openalex.org/W2921659643","https://openalex.org/W2945709631","https://openalex.org/W2991600409","https://openalex.org/W3010278093","https://openalex.org/W3012092446","https://openalex.org/W6638273328","https://openalex.org/W6638824847","https://openalex.org/W6640212811","https://openalex.org/W6679436768","https://openalex.org/W6687083206"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2032414556","https://openalex.org/W2169871401","https://openalex.org/W2057878850"],"abstract_inverted_index":{"Owing":[0],"to":[1,42,60,99,110,138],"the":[2,22,36,44,48,53,65,70,87,95,101,107,113,116,122,140,149,152,160,185,197],"widespread":[3],"use":[4],"of":[5,18,24,35,47,89,103,115,130,143,151,162,184,196],"digital":[6,25,30,39],"devices":[7,31],"such":[8],"as":[9],"mobile":[10],"phones":[11],"and":[12,132],"tablet":[13],"PCs":[14],"that":[15,158],"are":[16],"capable":[17],"easily":[19],"viewing":[20],"contents,":[21],"number":[23],"crimes":[26,40],"committed":[27],"using":[28],"these":[29],"has":[32],"increased.":[33],"One":[34],"most":[37],"common":[38],"is":[41,58,176,200],"hide":[43],"header":[45,66,68],"information":[46],"compressed":[49,117,171],"data,":[50,131],"which":[51,125],"makes":[52],"user's":[54],"data":[55,63],"unusable.":[56],"It":[57],"difficult":[59],"restore":[61],"original":[62],"without":[64],"because":[67],"contains":[69],"compression":[71,91,145,167,182],"type.":[72,146],"In":[73],"this":[74],"paper,":[75],"we":[76,155],"propose":[77],"a":[78,127],"Partial":[79],"Gated":[80],"Feedback":[81],"Recurrent":[82],"Neural":[83],"Network":[84],"(PGF-RNN)":[85],"for":[86,187],"identification":[88],"lossless":[90,181],"algorithms.":[92],"We":[93,119],"modify":[94],"gated":[96],"recurrent":[97],"units":[98],"improve":[100,148],"correlation":[102],"layers":[104,109,137],"by":[105],"grouping":[106],"fully-connected":[108,136],"effectively":[111],"determine":[112],"characteristics":[114],"data.":[118,172],"emphasize":[120],"on":[121,165,178],"temporal":[123],"features,":[124],"consider":[126],"wide":[128],"range":[129],"spatial":[133],"features":[134],"from":[135],"extract":[139],"feature":[141],"vectors":[142],"each":[144],"To":[147],"performance":[150],"proposed":[153,174,198],"PGF-RNN,":[154],"apply":[156],"post-processing":[157],"considers":[159],"frequency":[161],"bit":[163],"sequences":[164],"some":[166],"types":[168],"with":[169],"similar":[170],"The":[173,191],"method":[175,199],"evaluated":[177],"31":[179],"well-known":[180],"algorithms":[183],"Association":[186],"Computational":[188],"Linguistics":[189],"dataset.":[190],"average":[192],"top":[193],"1":[194],"accuracy":[195],"92.63%.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}
