{"id":"https://openalex.org/W4286567520","doi":"https://doi.org/10.4018/ijsir.304401","title":"Effect of Optimized Deep Belief Network to Patch-Based Image Inpainting Forensics","display_name":"Effect of Optimized Deep Belief Network to Patch-Based Image Inpainting Forensics","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4286567520","doi":"https://doi.org/10.4018/ijsir.304401"},"language":"en","primary_location":{"id":"doi:10.4018/ijsir.304401","doi":"https://doi.org/10.4018/ijsir.304401","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsir.304401","pdf_url":null,"source":{"id":"https://openalex.org/S146254016","display_name":"International Journal of Swarm Intelligence Research","issn_l":"1947-9263","issn":["1947-9263","1947-9271"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Swarm Intelligence Research","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5077846735","display_name":"Balasaheb H. Patil","orcid":"https://orcid.org/0000-0003-2207-6914","observed_orcids":["https://orcid.org/0000-0003-2207-6914"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Balasaheb H. Patil","raw_affiliation_strings":["Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5077846735"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0696,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24841148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"13","issue":"3","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9976000189781189,"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":0.9976000189781189,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.0006000000284984708,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":9.999999747378752e-05,"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/hybrid-metaheuristic-algorithm","display_name":"hybrid metaheuristic","score":0.8040000200271606},{"id":"https://openalex.org/keywords/group-search-optimizer","display_name":"group search optimizer","score":0.8970000147819519},{"id":"https://openalex.org/keywords/lion-algorithm","display_name":"lion algorithm","score":0.9919999837875366},{"id":"https://openalex.org/keywords/activation-function-optimization","display_name":"activation function optimization","score":0.7680000066757202},{"id":"https://openalex.org/keywords/weight-optimization","display_name":"weight optimization","score":0.7749999761581421},{"id":"https://openalex.org/keywords/image-forgery-detection","display_name":"image forgery detection","score":0.7490000128746033}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8518085479736328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253190875053406},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.7161427736282349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6026782989501953},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49179986119270325},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4721931219100952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36597830057144165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.335610032081604}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijsir.304401","doi":"https://doi.org/10.4018/ijsir.304401","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsir.304401","pdf_url":null,"source":{"id":"https://openalex.org/S146254016","display_name":"International Journal of Swarm Intelligence Research","issn_l":"1947-9263","issn":["1947-9263","1947-9271"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Swarm Intelligence Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2015861736","https://openalex.org/W2015892884","https://openalex.org/W2024427324","https://openalex.org/W2055802044","https://openalex.org/W2071080980","https://openalex.org/W2075139865","https://openalex.org/W2077130016","https://openalex.org/W2096461046","https://openalex.org/W2105038642","https://openalex.org/W2125281549","https://openalex.org/W2131831293","https://openalex.org/W2165845905","https://openalex.org/W2310701128","https://openalex.org/W2338570169","https://openalex.org/W2475072411","https://openalex.org/W2511683089","https://openalex.org/W2621581785","https://openalex.org/W2748182091","https://openalex.org/W2751952316","https://openalex.org/W2768613569","https://openalex.org/W2777190245","https://openalex.org/W2794492057","https://openalex.org/W2804971721","https://openalex.org/W2808402081","https://openalex.org/W2886856093","https://openalex.org/W2891064068","https://openalex.org/W2891079838","https://openalex.org/W2895712019","https://openalex.org/W2901936680","https://openalex.org/W2903540955","https://openalex.org/W2907630097","https://openalex.org/W2907972559","https://openalex.org/W2962555351","https://openalex.org/W2967280824","https://openalex.org/W2995792733","https://openalex.org/W3004601923","https://openalex.org/W3011955763","https://openalex.org/W3130764463","https://openalex.org/W3133142439","https://openalex.org/W3134124988","https://openalex.org/W3151493227","https://openalex.org/W3154417017","https://openalex.org/W3159562783"],"related_works":["https://openalex.org/W2808402081","https://openalex.org/W3097433999","https://openalex.org/W4413859696","https://openalex.org/W4385812260","https://openalex.org/W3039136639","https://openalex.org/W7151779992","https://openalex.org/W4312359477","https://openalex.org/W4385200557","https://openalex.org/W3159937784","https://openalex.org/W4285097312"],"abstract_inverted_index":{"This":[0],"paper":[1],"intends":[2],"to":[3,96],"propose":[4],"a":[5,56],"new":[6,57],"model":[7,23,69,87],"for":[8],"detecting":[9],"the":[10,32,37,45,83],"patch":[11],"based":[12],"inpainting":[13],"operation":[14],"using":[15],"Enhanced":[16],"Deep":[17],"Belief":[18],"Network":[19],"(E-DBN).":[20],"The":[21,67],"proposing":[22],"makes":[24],"strong":[25],"supervising":[26],"of":[27,50,85],"DBN":[28,51],"that":[29],"will":[30],"capture":[31],"manipulated":[33],"information.":[34],"In":[35],"fact,":[36],"enhancement":[38],"is":[39,52,88],"done":[40],"under":[41],"optimization":[42],"concept,":[43],"where":[44],"activation":[46],"function":[47],"and":[48,78],"weight":[49],"optimally":[53],"tuned":[54],"by":[55],"hybrid":[58],"algorithm":[59],"termed":[60],"as":[61],"Swarm":[62],"Mutated":[63],"Lion":[64,79],"Algorithm":[65,80],"(SM-LA).":[66],"hybridization":[68],"combines":[70],"two":[71],"conventional":[72,92],"models:":[73],"Group":[74],"Search":[75],"Optimizer":[76],"(GSO)":[77],"(LA).":[81],"Finally,":[82],"performance":[84,98],"proposed":[86],"compared":[89],"over":[90],"other":[91],"models":[93],"with":[94],"respect":[95],"certain":[97],"measures.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-07-22T00:00:00"}
