{"id":"https://openalex.org/W7220400686","doi":"https://doi.org/10.5935/jetia.v12i61.3335","title":"HYBRID OPTIMIZATION FOR TEXTURE-BASED NAIL DISEASE PREDICTION USING DEEP LEARNING","display_name":"HYBRID OPTIMIZATION FOR TEXTURE-BASED NAIL DISEASE PREDICTION USING DEEP LEARNING","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7220400686","doi":"https://doi.org/10.5935/jetia.v12i61.3335"},"language":"en","primary_location":{"id":"doi:10.5935/jetia.v12i61.3335","doi":"https://doi.org/10.5935/jetia.v12i61.3335","is_oa":true,"landing_page_url":"https://doi.org/10.5935/jetia.v12i61.3335","pdf_url":"https://itegam-jetia.org/journal/index.php/jetia/article/download/3335/1840","source":{"id":"https://openalex.org/S2764766405","display_name":"ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)","issn_l":"2447-0228","issn":["2447-0228"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"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":"ITEGAM-Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://itegam-jetia.org/journal/index.php/jetia/article/download/3335/1840","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043127739","display_name":"Vidhushavarshini Sureshkumar","orcid":"https://orcid.org/0000-0002-2955-9831","observed_orcids":["https://orcid.org/0000-0002-2955-9831"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vidhushavarshini Sureshkumar","raw_affiliation_strings":["Department of Computer and Communication Engineering,Rajalakshmi Institute of Technology, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0002-2955-9831","affiliations":[{"raw_affiliation_string":"Department of Computer and Communication Engineering,Rajalakshmi Institute of Technology, Chennai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102975520","display_name":"Vinodhini Vm","orcid":"https://orcid.org/0000-0002-8223-8674","observed_orcids":["https://orcid.org/0000-0002-8223-8674"]},"institutions":[{"id":"https://openalex.org/I4405257457","display_name":"Sona College of Technology","ror":"https://ror.org/059sbnj83","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405257457"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinodhini V","raw_affiliation_strings":["Department of Computer Science and EngineeringSona College of Technology, Salem, Tamil Nadu, India"],"raw_orcid":"https://orcid.org/0000-0002-8223-8674","affiliations":[{"raw_affiliation_string":"Department of Computer Science and EngineeringSona College of Technology, Salem, Tamil Nadu, India","institution_ids":["https://openalex.org/I4405257457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066786333","display_name":"Dhayanithi Jaganathan","orcid":"https://orcid.org/0000-0002-1571-751X","observed_orcids":["https://orcid.org/0000-0002-1571-751X"]},"institutions":[{"id":"https://openalex.org/I4405257457","display_name":"Sona College of Technology","ror":"https://ror.org/059sbnj83","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405257457"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhayanithi J","raw_affiliation_strings":["Department of Computer Science and EngineeringSona College of Technology, Salem, Tamil Nadu, India"],"raw_orcid":"https://orcid.org/0000-0002-1571-751X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and EngineeringSona College of Technology, Salem, Tamil Nadu, India","institution_ids":["https://openalex.org/I4405257457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076068182","display_name":"M. Kiruthiga Devi","orcid":"https://orcid.org/0000-0003-2949-6102","observed_orcids":["https://orcid.org/0000-0003-2949-6102"]},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kiruthiga Devi M","raw_affiliation_strings":["Department of CSE, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0003-2949-6102","affiliations":[{"raw_affiliation_string":"Department of CSE, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083621001","display_name":"A. S. Gudadhe And A.V. Joshi","orcid":"https://orcid.org/0000-0001-5141-2994","observed_orcids":["https://orcid.org/0000-0001-5141-2994"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joshi A","raw_affiliation_strings":["Department of Artificial Intelligence and Data Science, Panimalar Engineering College, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0001-5141-2994","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Data Science, Panimalar Engineering College, Chennai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5157630833","display_name":"Vijayarasu T","orcid":"https://orcid.org/0009-0001-4831-3001","observed_orcids":["https://orcid.org/0009-0001-4831-3001"]},"institutions":[{"id":"https://openalex.org/I19926482","display_name":"Dr. M.G.R. Educational and Research Institute","ror":"https://ror.org/053hsst90","country_code":"IN","type":"education","lineage":["https://openalex.org/I19926482"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vijayarasu T","raw_affiliation_strings":["Department of Information Technology, Dr M.G.R. Education and Research Institute, Chennai, India"],"raw_orcid":"https://orcid.org/0009-0001-4831-3001","affiliations":[{"raw_affiliation_string":"Department of Information Technology, Dr M.G.R. Education and Research Institute, Chennai, India","institution_ids":["https://openalex.org/I19926482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"61","first_page":"96","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11253","display_name":"Nail Diseases and Treatments","score":0.8984000086784363,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11253","display_name":"Nail Diseases and Treatments","score":0.8984000086784363,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.011900000274181366,"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.010400000028312206,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nail-disorders","display_name":"nail disorders","score":0.8119999766349792},{"id":"https://openalex.org/keywords/texture-classification","display_name":"texture classification","score":0.6069999933242798},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.8410000205039978},{"id":"https://openalex.org/keywords/hybrid-optimization","display_name":"hybrid optimization","score":0.6800000071525574},{"id":"https://openalex.org/keywords/efficientnet-b3","display_name":"EfficientNetB3","score":0.7940000295639038},{"id":"https://openalex.org/keywords/mobilenetv2","display_name":"MobileNetV2","score":0.9980000257492065},{"id":"https://openalex.org/keywords/fungal-infection","display_name":"fungal infection","score":0.703000009059906},{"id":"https://openalex.org/keywords/onycholysis","display_name":"onycholysis","score":0.9760000109672546},{"id":"https://openalex.org/keywords/psoriasis","display_name":"psoriasis","score":0.9509999752044678},{"id":"https://openalex.org/keywords/paronychia","display_name":"paronychia","score":0.8529999852180481}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6895999908447266},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.570900022983551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5304999947547913},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4796000123023987},{"id":"https://openalex.org/C2777852167","wikidata":"https://www.wikidata.org/wiki/Q37077","display_name":"Nail (fastener)","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4253000020980835},{"id":"https://openalex.org/C2780158451","wikidata":"https://www.wikidata.org/wiki/Q2084035","display_name":"Nail disease","level":3,"score":0.37860000133514404},{"id":"https://openalex.org/C2777158596","wikidata":"https://www.wikidata.org/wiki/Q652744","display_name":"Hand-foot-and-mouth disease","level":3,"score":0.3720000088214874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3718000054359436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.3495999872684479},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26510000228881836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5935/jetia.v12i61.3335","doi":"https://doi.org/10.5935/jetia.v12i61.3335","is_oa":true,"landing_page_url":"https://doi.org/10.5935/jetia.v12i61.3335","pdf_url":"https://itegam-jetia.org/journal/index.php/jetia/article/download/3335/1840","source":{"id":"https://openalex.org/S2764766405","display_name":"ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)","issn_l":"2447-0228","issn":["2447-0228"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"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":"ITEGAM-Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3c691a56d31e4d16992f120a5a9d3158","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/3c691a56d31e4d16992f120a5a9d3158","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":"ITEGAM-JETIA, Vol 12, Iss 61 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.5935/jetia.v12i61.3335","doi":"https://doi.org/10.5935/jetia.v12i61.3335","is_oa":true,"landing_page_url":"https://doi.org/10.5935/jetia.v12i61.3335","pdf_url":"https://itegam-jetia.org/journal/index.php/jetia/article/download/3335/1840","source":{"id":"https://openalex.org/S2764766405","display_name":"ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)","issn_l":"2447-0228","issn":["2447-0228"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"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":"ITEGAM-Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.46810001134872437}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220400686.pdf","grobid_xml":"https://content.openalex.org/works/W7220400686.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7117874961","https://openalex.org/W7129391375","https://openalex.org/W4416342814","https://openalex.org/W4310237107","https://openalex.org/W4412779909","https://openalex.org/W7160448943","https://openalex.org/W4327971363","https://openalex.org/W4411484613","https://openalex.org/W4406625402","https://openalex.org/W7037022160"],"abstract_inverted_index":{"A":[0],"wide":[1],"range":[2],"of":[3,17,22,31,36,39,45,48,64,71,78,96,108,135,146,152,161,164,167,183,221,237,244,253,286,288,313,327],"possible":[4],"disorders":[5,40,70,95],"may":[6],"be":[7,42],"characterized":[8],"by":[9],"color":[10],"changes":[11,14],"in":[12,15,25,106,114,120,204,322],"nails;":[13,18],"shape":[16],"or":[19,61],"some":[20,62,77,102],"type":[21],"texture":[23],"irregularity":[24],"the":[26,43,69,72,79,94,97,109,112,133,147,162,165,168,181,184,194,208,232,240,283,311],"nails":[27,73,169],"that":[28,74,341],"is":[29],"indicative":[30],"a":[32,46,52,55,125,158,219,302],"nail":[33,245,347],"disorder.":[34],"Each":[35],"these":[37],"types":[38],"could":[41],"result":[44],"number":[47],"different":[49,242],"factors":[50],"including":[51],"pathologic":[53],"process,":[54],"previously":[56],"unknown":[57],"medical":[58],"condition;":[59],"stress;":[60],"form":[63],"hereditary":[65],"component.":[66],"Of":[67],"all":[68],"can":[75,352],"occur,":[76],"most":[80],"common":[81],"include":[82],"mycosis;":[83],"onycholysis;":[84],"psoriasis;":[85],"and":[86,111,141,144,170,177,199,234,257,277,292,306,356],"paronychia.":[87],"While":[88],"there":[89,258],"are":[90],"many":[91],"similarities":[92],"among":[93],"nails,":[98],"they":[99],"also":[100],"present":[101],"very":[103],"significant":[104],"differences":[105],"terms":[107],"symptoms":[110],"difficulty":[113],"treating":[115],"them.":[116],"An":[117],"essential":[118],"step":[119],"providing":[121],"effective":[122],"treatment":[123],"for":[124,225,230,345],"patient":[126],"with":[127,263,266,269,272,275,279,290,294],"an":[128,139,323],"underlying":[129],"condition":[130],"while":[131,239],"protecting":[132],"health":[134],"their":[136,171],"nail,":[137],"includes":[138],"appropriate":[140],"thorough":[142],"evaluation":[143],"monitoring":[145],"patient's":[148],"condition.":[149],"The":[150],"purpose":[151],"this":[153,213],"study":[154,163],"was":[155],"to":[156,179,206,299],"provide":[157],"comprehensive":[159],"review":[160],"diseases":[166,348],"diagnosis":[172],"utilizing":[173,349],"advanced":[174],"optimization":[175,191],"techniques":[176,192],"further":[178],"document":[180],"results":[182,339],"experimental":[185,338],"investigation.":[186],"We":[187,249,281,296],"utilized":[188],"two":[189],"metaheuristic":[190,350],"called":[193],"Moth":[195],"Fly":[196,201,317],"Optimization":[197,202,318],"(MFO)":[198],"Fruit":[200,316],"(FFO),":[203],"order":[205],"optimize":[207],"classification":[209,343],"models":[210,344],"used":[211,224,229,251],"within":[212],"study.":[214],"Our":[215,337],"data":[216],"set":[217],"contained":[218],"maximum":[220],"560":[222],"images":[223,228,236],"training;":[226],"70":[227,235],"validating":[231],"models;":[233],"text,":[238],"seven":[241],"forms":[243],"disease":[246],"were":[247,297],"illustrated.":[248],"have":[250],"variety":[252],"deep":[254],"learning":[255],"architecture":[256],"accuracy":[259,326],"such":[260],"as":[261],"90%":[262,274],"EfficientNetB3,":[264],"86%":[265],"DenseNet121,":[267],"87.14%":[268],"ResNet50,":[270],"80%":[271],"InceptionV3,":[273],"Xception,":[276],"91%":[278,328],"MobileNetV2.":[280],"observed":[282],"highest":[284],"level":[285],"precision":[287],"1.0":[289],"EfficientNetB3":[291],"0.95":[293],"F1-Score.":[295],"able":[298],"demonstrate":[300],"both":[301],"global":[303],"search":[304],"capability":[305],"improved":[307],"convergence":[308],"speed":[309],"through":[310],"use":[312],"our":[314],"Adaptive":[315],"Algorithm":[319],"(AFFOSM),":[320],"resulting":[321],"overall":[324],"system":[325],"using":[329],"MobileNetV2,":[330],"significantly":[331],"better":[332],"than":[333],"other":[334],"conventional":[335],"methods.":[336],"indicate":[340],"optimizing":[342],"detecting":[346],"algorithms":[351],"greatly":[353],"enhance":[354],"reliability":[355],"investigative":[357],"accuracy.":[358]},"counts_by_year":[],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2026-10-06T00:00:00"}
