{"id":"https://openalex.org/W4410211128","doi":"https://doi.org/10.1504/ijahuc.2025.146125","title":"Fractional Archimedes optimisation algorithm enabled deep learning for diabetic retinopathy detection","display_name":"Fractional Archimedes optimisation algorithm enabled deep learning for diabetic retinopathy detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410211128","doi":"https://doi.org/10.1504/ijahuc.2025.146125"},"language":"en","primary_location":{"id":"doi:10.1504/ijahuc.2025.146125","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijahuc.2025.146125","pdf_url":null,"source":{"id":"https://openalex.org/S97070762","display_name":"International Journal of Ad Hoc and Ubiquitous Computing","issn_l":"1743-8225","issn":["1743-8225","1743-8233"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ad Hoc and Ubiquitous Computing","raw_type":"journal-article"},"type":"article","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/A5116642966","display_name":"Baddur Kundan","orcid":null},"institutions":[{"id":"https://openalex.org/I3133098998","display_name":"St. Peter's Institute of Higher Education and Research","ror":"https://ror.org/05pq0wd90","country_code":"IN","type":"education","lineage":["https://openalex.org/I3133098998"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Baddur Kundan","raw_affiliation_strings":["Department of Computer Science and Engineering, St. Peter's Institute of Higher Education and Research, Avadi, Chennai, Tamil Nadu - 600054, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, St. Peter's Institute of Higher Education and Research, Avadi, Chennai, Tamil Nadu - 600054, India","institution_ids":["https://openalex.org/I3133098998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116886456","display_name":"Pushpa Sangaralingam","orcid":null},"institutions":[{"id":"https://openalex.org/I3133098998","display_name":"St. Peter's Institute of Higher Education and Research","ror":"https://ror.org/05pq0wd90","country_code":"IN","type":"education","lineage":["https://openalex.org/I3133098998"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pushpa Sangaralingam","raw_affiliation_strings":["Department of Computer Science and Engineering, St. Peter's Institute of Higher Education and Research, Avadi, Chennai, Tamil Nadu - 600054, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, St. Peter's Institute of Higher Education and Research, Avadi, Chennai, Tamil Nadu - 600054, India","institution_ids":["https://openalex.org/I3133098998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5116642966"],"corresponding_institution_ids":["https://openalex.org/I3133098998"],"apc_list":null,"apc_paid":null,"fwci":2.6927,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89045508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"49","issue":"1","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/computer-science","display_name":"Computer science","score":0.7812643051147461},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.6647554039955139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5382745862007141},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42569756507873535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4237896203994751},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35270023345947266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3303872346878052},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.18717840313911438},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1386878788471222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812643051147461},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.6647554039955139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5382745862007141},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42569756507873535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4237896203994751},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35270023345947266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3303872346878052},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.18717840313911438},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1386878788471222},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijahuc.2025.146125","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijahuc.2025.146125","pdf_url":null,"source":{"id":"https://openalex.org/S97070762","display_name":"International Journal of Ad Hoc and Ubiquitous Computing","issn_l":"1743-8225","issn":["1743-8225","1743-8233"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ad Hoc and Ubiquitous Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4409439182","https://openalex.org/W4375867731","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2611989081","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W4380075502"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"fractional":[4,24],"Archimedes":[5,27],"optimisation":[6,28],"algorithm":[7,29],"(FAOA)-based":[8],"deep":[9],"learning":[10],"model":[11],"for":[12,98,116],"diabetic":[13,108],"retinopathy":[14,109],"(DR)":[15],"detection.":[16,100],"Here,":[17],"the":[18,33,36,39,45,67,80,88,106,124],"FAOA":[19],"is":[20,42,53,85,103,134],"formed":[21],"by":[22,44,123],"combining":[23],"calculus":[25],"with":[26],"(AOA).":[30],"Initially,":[31],"in":[32,127],"pre-processing":[34],"step,":[35],"noise":[37],"from":[38,71,79,87],"input":[40,89],"image":[41,110],"removed":[43],"Kalman":[46],"filter":[47],"and":[48,59,112,132,137],"region":[49],"of":[50,129],"interest":[51],"(RoI)":[52],"extracted.":[54],"Then,":[55,91],"optic":[56],"disc":[57],"segmentation":[58,62],"blood":[60],"vessel":[61,117],"are":[63,69,77,94],"done.":[64],"After":[65],"that,":[66],"features":[68,76,93],"extracted":[70,92],"both":[72],"segmented":[73],"outputs.":[74],"Simultaneously,":[75],"taken":[78],"Haar":[81],"wavelet":[82],"transform,":[83],"which":[84],"derived":[86],"image.":[90],"allowed":[95],"to":[96],"FAOA_LeNet":[97,126],"DR":[99],"The":[101,120],"performance":[102,121],"analysed":[104],"using":[105],"Indian":[107],"dataset":[111],"digital":[113],"retinal":[114],"images":[115],"extraction":[118],"dataset.":[119],"obtained":[122],"proposed":[125],"terms":[128],"sensitivity,":[130],"accuracy,":[131],"specificity":[133],"0.938,":[135],"0.954,":[136],"0.974.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}