{"id":"https://openalex.org/W4385731876","doi":"https://doi.org/10.1109/access.2023.3304237","title":"Modeling of Reptile Search Algorithm With Deep Learning Approach for Copy Move Image Forgery Detection","display_name":"Modeling of Reptile Search Algorithm With Deep Learning Approach for Copy Move Image Forgery Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385731876","doi":"https://doi.org/10.1109/access.2023.3304237"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3304237","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3304237","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10214271.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":null,"license_id":null,"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/ielx7/6287639/6514899/10214271.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009368063","display_name":"Mashael Maashi","orcid":"https://orcid.org/0000-0003-0446-5430"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mashael Maashi","raw_affiliation_strings":["Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Po Box 103786, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-0446-5430","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Po Box 103786, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030440060","display_name":"Hayam Alamro","orcid":"https://orcid.org/0000-0003-3157-8086"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hayam Alamro","raw_affiliation_strings":["Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia","Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-3157-8086","affiliations":[{"raw_affiliation_string":"Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]},{"raw_affiliation_string":"Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039778903","display_name":"Heba Mohsen","orcid":"https://orcid.org/0000-0003-2003-0357"},"institutions":[{"id":"https://openalex.org/I186217134","display_name":"Future University in Egypt","ror":"https://ror.org/03s8c2x09","country_code":"EG","type":"education","lineage":["https://openalex.org/I186217134"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Heba Mohsen","raw_affiliation_strings":["Department of Computer Science, Faculty of Computers and Information Technology, Future University in Egypt, New Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Information Technology, Future University in Egypt, New Cairo, Egypt","institution_ids":["https://openalex.org/I186217134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066330330","display_name":"Noha Negm","orcid":"https://orcid.org/0009-0005-5911-1033"},"institutions":[{"id":"https://openalex.org/I82952536","display_name":"King Khalid University","ror":"https://ror.org/052kwzs30","country_code":"SA","type":"education","lineage":["https://openalex.org/I82952536"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Noha Negm","raw_affiliation_strings":["Department of Computer Science, College of Science and Art at Mahayil, King Khalid University, Abha, Saudi Arabia"],"raw_orcid":"https://orcid.org/0009-0005-5911-1033","affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Science and Art at Mahayil, King Khalid University, Abha, Saudi Arabia","institution_ids":["https://openalex.org/I82952536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074729511","display_name":"Gouse Pasha Mohammed","orcid":null},"institutions":[{"id":"https://openalex.org/I142608572","display_name":"Prince Sattam Bin Abdulaziz University","ror":"https://ror.org/04jt46d36","country_code":"SA","type":"education","lineage":["https://openalex.org/I142608572"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Gouse Pasha Mohammed","raw_affiliation_strings":["Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-1583-9872","affiliations":[{"raw_affiliation_string":"Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia","institution_ids":["https://openalex.org/I142608572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111043072","display_name":"Noura Abdelaziz Ahmed","orcid":null},"institutions":[{"id":"https://openalex.org/I142608572","display_name":"Prince Sattam Bin Abdulaziz University","ror":"https://ror.org/04jt46d36","country_code":"SA","type":"education","lineage":["https://openalex.org/I142608572"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Noura Abdelaziz Ahmed","raw_affiliation_strings":["Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia","institution_ids":["https://openalex.org/I142608572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021846977","display_name":"Sara Saadeldeen Ibrahim","orcid":null},"institutions":[{"id":"https://openalex.org/I142608572","display_name":"Prince Sattam Bin Abdulaziz University","ror":"https://ror.org/04jt46d36","country_code":"SA","type":"education","lineage":["https://openalex.org/I142608572"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Sara Saadeldeen Ibrahim","raw_affiliation_strings":["Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia","institution_ids":["https://openalex.org/I142608572"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009109284","display_name":"Mohamed Ibrahim Alsaid","orcid":null},"institutions":[{"id":"https://openalex.org/I142608572","display_name":"Prince Sattam Bin Abdulaziz University","ror":"https://ror.org/04jt46d36","country_code":"SA","type":"education","lineage":["https://openalex.org/I142608572"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohamed Ibrahim Alsaid","raw_affiliation_strings":["Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia","institution_ids":["https://openalex.org/I142608572"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"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":3.3683,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94062463,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"87297","last_page":"87304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8278436660766602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7783750295639038},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6915715932846069},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6306004524230957},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5939451456069946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5834863781929016},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5641610622406006},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5461212396621704},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5095741748809814},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4759535491466522},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4531276226043701},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3556584119796753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8278436660766602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7783750295639038},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6915715932846069},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6306004524230957},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5939451456069946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5834863781929016},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5641610622406006},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5461212396621704},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5095741748809814},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4759535491466522},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4531276226043701},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3556584119796753},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3304237","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3304237","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10214271.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:83b01fd82956458ab484a2b53577e3b2","is_oa":true,"landing_page_url":"https://doaj.org/article/83b01fd82956458ab484a2b53577e3b2","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 11, Pp 87297-87304 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3304237","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3304237","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10214271.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2246833281","display_name":null,"funder_award_id":"PSAU/2023/R/1444","funder_id":"https://openalex.org/F4320311227","funder_display_name":"Prince Sattam bin Abdulaziz University"},{"id":"https://openalex.org/G3127295714","display_name":null,"funder_award_id":"RGP2/96/44","funder_id":"https://openalex.org/F4320324433","funder_display_name":"King Khalid University"},{"id":"https://openalex.org/G7329069324","display_name":null,"funder_award_id":"RSPD2023R787","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"},{"id":"https://openalex.org/G8338439769","display_name":null,"funder_award_id":"PNURSP2023R361","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"}],"funders":[{"id":"https://openalex.org/F4320311227","display_name":"Prince Sattam bin Abdulaziz University","ror":"https://ror.org/04jt46d36"},{"id":"https://openalex.org/F4320321145","display_name":"King Saud University","ror":"https://ror.org/02f81g417"},{"id":"https://openalex.org/F4320322484","display_name":"Princess Nourah Bint Abdulrahman University","ror":"https://ror.org/05b0cyh02"},{"id":"https://openalex.org/F4320324433","display_name":"King Khalid University","ror":"https://ror.org/052kwzs30"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385731876.pdf","grobid_xml":"https://content.openalex.org/works/W4385731876.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2118613125","https://openalex.org/W2345141063","https://openalex.org/W2555026809","https://openalex.org/W2779804704","https://openalex.org/W2792391100","https://openalex.org/W2805557887","https://openalex.org/W2912801276","https://openalex.org/W2950452242","https://openalex.org/W2964081807","https://openalex.org/W2972799026","https://openalex.org/W2996789401","https://openalex.org/W3019536224","https://openalex.org/W3106849701","https://openalex.org/W3137351206","https://openalex.org/W3192602971","https://openalex.org/W3208207617","https://openalex.org/W3209398158","https://openalex.org/W3212797097","https://openalex.org/W4206354596","https://openalex.org/W4210277846","https://openalex.org/W4210362228","https://openalex.org/W4213415064","https://openalex.org/W4226291538","https://openalex.org/W4317108003","https://openalex.org/W4320926019","https://openalex.org/W4376504367"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2140186469","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W2965546495","https://openalex.org/W4206951940","https://openalex.org/W2116862786","https://openalex.org/W4382602594","https://openalex.org/W4387850423"],"abstract_inverted_index":{"Copy-move":[0],"(CM)":[1],"forgery":[2,74,89,106,155],"is":[3,195],"a":[4,15,79,84],"common":[5],"type":[6],"of":[7,26,34,127,191,208],"image":[8,19,36,182],"manipulation":[9],"that":[10],"involves":[11],"copying":[12],"and":[13,65,116,158],"pasting":[14],"region":[16],"within":[17,180],"an":[18,31],"to":[20,49,61,112,150,153,177],"conceal":[21],"or":[22,185],"duplicate":[23],"content.":[24],"Detection":[25],"such":[27,41],"forgeries":[28],"acts":[29],"as":[30,42,183],"important":[32],"part":[33],"digital":[35],"forensics.":[37],"Deep":[38],"learning":[39,175],"techniques,":[40],"convolutional":[43],"neural":[44],"networks":[45],"(CNNs),":[46],"are":[47,56],"employed":[48],"extract":[50],"informative":[51],"features":[52,118,171],"from":[53,119,172],"images.":[54,122],"CNNs":[55],"known":[57],"for":[58,70,102,138],"their":[59],"ability":[60],"capture":[62,114],"complex":[63],"patterns":[64],"structures,":[66],"making":[67],"them":[68],"well-suited":[69],"image-related":[71],"tasks":[72,157],"like":[73],"detection.":[75],"This":[76,141],"paper":[77],"introduces":[78],"reptile":[80,134],"search":[81,135],"algorithm":[82,136,142],"with":[83],"deep":[85,174],"transfer":[86],"learning-based":[87],"CM":[88],"detection":[90,107,156],"(RSADTL-CMFD)":[91],"approach.":[92],"The":[93,187],"presented":[94],"model":[95,149,194],"uses":[96],"Neural":[97],"Architectural":[98],"Search":[99],"Network":[100],"(NASNet)":[101],"feature":[103],"extraction":[104],"in":[105],"which":[108],"allows":[109],"the":[110,120,125,128,133,144,148,169,173,181,192,205,209],"network":[111,176],"effectively":[113,167],"relevant":[115],"discriminative":[117],"input":[121],"To":[123],"enhance":[124],"performance":[126],"NASNet":[129],"model,":[130],"we":[131],"employ":[132],"(RSA)":[137],"hyperparameter":[139],"tuning.":[140],"optimizes":[143],"network\u2019s":[145],"hyperparameters,":[146],"enabling":[147],"quickly":[151],"adapt":[152],"different":[154],"achieve":[159],"superior":[160],"performance.":[161],"Finally,":[162],"extreme":[163],"gradient":[164],"boosting":[165],"(XGBoost)":[166],"utilizes":[168],"extracted":[170],"classify":[178],"regions":[179],"genuine":[184],"manipulated/forged.":[186],"experimental":[188],"result":[189],"analysis":[190],"RSADTL-CMFD":[193,210],"tested":[196],"using":[197],"benchmark":[198],"datasets.":[199],"An":[200],"extensive":[201],"comparative":[202],"study":[203],"highlighted":[204],"enhanced":[206],"outcomes":[207],"method":[211],"over":[212],"recent":[213],"techniques.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
