{"id":"https://openalex.org/W7140228455","doi":"https://doi.org/10.1504/ijids.2026.152481","title":"Implementing shark smell algorithm and sigmoid function-based new position update optimisation for four-phased glaucoma detection model","display_name":"Implementing shark smell algorithm and sigmoid function-based new position update optimisation for four-phased glaucoma detection model","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140228455","doi":"https://doi.org/10.1504/ijids.2026.152481"},"language":"en","primary_location":{"id":"doi:10.1504/ijids.2026.152481","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijids.2026.152481","pdf_url":null,"source":{"id":"https://openalex.org/S124192446","display_name":"International Journal of Information and Decision Sciences","issn_l":"1756-7017","issn":["1756-7017","1756-7025"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information and Decision Sciences","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":null,"display_name":"Piyush Bhushan Singh","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Piyush Bhushan Singh","raw_affiliation_strings":["Department of Computer Science & Engineering, Amity School of Engineering and Technology, Lucknow, Amity University Uttar Pradesh, India","Department of Information Technology, Pranveer Singh Institute of Technology, Kanpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Amity School of Engineering and Technology, Lucknow, Amity University Uttar Pradesh, India","institution_ids":[]},{"raw_affiliation_string":"Department of Information Technology, Pranveer Singh Institute of Technology, Kanpur, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pawan Singh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pawan Singh","raw_affiliation_strings":["Department of Computer Science & Engineering, Amity School of Engineering and Technology, Lucknow, Amity University Uttar Pradesh, India","Department of Information Technology, Pranveer Singh Institute of Technology, Kanpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Amity School of Engineering and Technology, Lucknow, Amity University Uttar Pradesh, India","institution_ids":[]},{"raw_affiliation_string":"Department of Information Technology, Pranveer Singh Institute of Technology, Kanpur, India","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Harsh Dev","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harsh Dev","raw_affiliation_strings":["Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow, Uttar Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow, Uttar Pradesh, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55637795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"1","first_page":"15","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9818999767303467,"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":0.9818999767303467,"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"}},{"id":"https://openalex.org/T10250","display_name":"Glaucoma and retinal disorders","score":0.00570000009611249,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.003000000026077032,"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/glaucoma","display_name":"Glaucoma","score":0.857200026512146},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.6790000200271606},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5611000061035156},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5350000262260437},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.51910001039505},{"id":"https://openalex.org/keywords/optic-disc","display_name":"Optic disc","score":0.48510000109672546},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.4341000020503998},{"id":"https://openalex.org/keywords/optic-disk","display_name":"Optic disk","score":0.3993000090122223}],"concepts":[{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.857200026512146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7085000276565552},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.6790000200271606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5867000222206116},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5611000061035156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5530999898910522},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5350000262260437},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C2779735895","wikidata":"https://www.wikidata.org/wiki/Q16873995","display_name":"Optic disc","level":3,"score":0.48510000109672546},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.4341000020503998},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4311000108718872},{"id":"https://openalex.org/C2983497740","wikidata":"https://www.wikidata.org/wiki/Q16873995","display_name":"Optic disk","level":3,"score":0.3993000090122223},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.3021000027656555},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.29829999804496765},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.29030001163482666},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C96021297","wikidata":"https://www.wikidata.org/wiki/Q7098791","display_name":"Optic cup (embryology)","level":5,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijids.2026.152481","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijids.2026.152481","pdf_url":null,"source":{"id":"https://openalex.org/S124192446","display_name":"International Journal of Information and Decision Sciences","issn_l":"1756-7017","issn":["1756-7017","1756-7025"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information and Decision Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.7601004838943481}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vertical":[0],"and":[1,22,36,107,125],"horizontal":[2],"cup-disc":[3],"ratio":[4,97],"(CDR)":[5],"is":[6,11,23,71,84,145],"an":[7,45,87,119],"important":[8],"constraint,":[9],"which":[10],"utilised":[12],"clinically":[13],"for":[14,52],"detecting":[15],"glaucoma":[16,34,63],"or":[17],"to":[18,30,38,59,95],"scrutinise":[19],"its":[20],"progression":[21],"evaluated":[24],"manually":[25],"from":[26],"fundus":[27],"images.":[28],"Owing":[29],"the":[31,39,56,77,123,126,131,143],"scarcity":[32],"of":[33,76,122],"specialists":[35],"owing":[37],"rise":[40],"in":[41],"glaucoma's":[42],"affected":[43],"persons,":[44],"automated":[46],"approach":[47],"can":[48],"be":[49],"much":[50],"helpful":[51],"screening":[53],"glaucoma.":[54],"Here,":[55],"study":[57],"intends":[58],"create":[60],"a":[61],"new":[62,138],"detection":[64],"scheme":[65],"with":[66,135],"4":[67],"phases.":[68],"Initially,":[69],"preprocessing":[70],"done":[72,85,146],"via":[73,86],"median":[74],"filtering":[75],"input":[78],"image.":[79],"Then,":[80],"optic":[81],"cup":[82,94],"segmentation":[83],"enhanced":[88],"U-net":[89],"method.":[90],"Moreover,":[91],"features":[92,106,111],"like":[93],"disc":[96],"(CDR),":[98],"inferior":[99],"superior":[100],"nasal":[101],"temporal":[102],"(ISNT)":[103],"features,":[104],"fractal":[105],"proposed":[108],"local":[109],"Gabor":[110],"are":[112,116,128],"determined.":[113],"These":[114],"characteristics":[115],"categorised":[117],"using":[118,130],"improved":[120],"version":[121],"LSTM,":[124],"weights":[127],"adjusted":[129],"shark":[132],"smell":[133],"algorithm":[134],"sigmoid":[136],"function-based":[137],"position":[139],"update":[140],"(SSA-SFNPU).":[141],"Further,":[142],"examination":[144],"regarding":[147],"wide-ranging":[148],"metrics.":[149]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-03-25T00:00:00"}
