{"id":"https://openalex.org/W7136179667","doi":"https://doi.org/10.1109/access.2026.3674397","title":"TopoImageNet: Topology-Aware Deep Neuromodel With Kolmogorov\u2013Arnold Attention for Graphic Image Recognition","display_name":"TopoImageNet: Topology-Aware Deep Neuromodel With Kolmogorov\u2013Arnold Attention for Graphic Image Recognition","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7136179667","doi":"https://doi.org/10.1109/access.2026.3674397"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3674397","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3674397","pdf_url":null,"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://doi.org/10.1109/access.2026.3674397","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116934829","display_name":"Danylo Borovyk","orcid":null},"institutions":[{"id":"https://openalex.org/I168036236","display_name":"National University Zaporizhzhia Polytechnic","ror":"https://ror.org/03aph1990","country_code":"UA","type":"education","lineage":["https://openalex.org/I168036236"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Danylo Borovyk","raw_affiliation_strings":["Department of Software Tools, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine"],"raw_orcid":"https://orcid.org/0009-0004-2194-0824","affiliations":[{"raw_affiliation_string":"Department of Software Tools, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine","institution_ids":["https://openalex.org/I168036236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126615842","display_name":"Khadija Alhumaid","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087059","display_name":"Technology Innovation Institute","ror":"https://ror.org/001kv2y39","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210087059"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Khadija Farhan Alhumaid","raw_affiliation_strings":["Research & Innovation Division, Rabdan Academy, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-1242-9133","affiliations":[{"raw_affiliation_string":"Research & Innovation Division, Rabdan Academy, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210087059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010977618","display_name":"\u0410ndrii Oliinyk","orcid":"https://orcid.org/0000-0002-6740-6078"},"institutions":[{"id":"https://openalex.org/I168036236","display_name":"National University Zaporizhzhia Polytechnic","ror":"https://ror.org/03aph1990","country_code":"UA","type":"education","lineage":["https://openalex.org/I168036236"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Andrii Oliinyk","raw_affiliation_strings":["Department of Software Tools, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine"],"raw_orcid":"https://orcid.org/0000-0002-6740-6078","affiliations":[{"raw_affiliation_string":"Department of Software Tools, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine","institution_ids":["https://openalex.org/I168036236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043792072","display_name":"Serhii Leoshchenko","orcid":"https://orcid.org/0000-0001-5099-5518"},"institutions":[{"id":"https://openalex.org/I168036236","display_name":"National University Zaporizhzhia Polytechnic","ror":"https://ror.org/03aph1990","country_code":"UA","type":"education","lineage":["https://openalex.org/I168036236"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Serhii Leoshchenko","raw_affiliation_strings":["Department of Software Tools, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Tools, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine","institution_ids":["https://openalex.org/I168036236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121995289","display_name":"Jamil Abedalrahim Jamil Alsayaydeh","orcid":null},"institutions":[{"id":"https://openalex.org/I32589535","display_name":"Technical University of Malaysia Malacca","ror":"https://ror.org/01xb6rs26","country_code":"MY","type":"education","lineage":["https://openalex.org/I32589535"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Jamil Abedalrahim Jamil Alsayaydeh","raw_affiliation_strings":["Department of Engineering Technology, Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka (UTeM), Malacca, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-9768-4925","affiliations":[{"raw_affiliation_string":"Department of Engineering Technology, Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK), Universiti Teknikal Malaysia Melaka (UTeM), Malacca, Malaysia","institution_ids":["https://openalex.org/I32589535"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sergey Subbotin","orcid":"https://orcid.org/0000-0001-5814-8268"},"institutions":[{"id":"https://openalex.org/I168036236","display_name":"National University Zaporizhzhia Polytechnic","ror":"https://ror.org/03aph1990","country_code":"UA","type":"education","lineage":["https://openalex.org/I168036236"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Sergey Subbotin","raw_affiliation_strings":["Department of Software Tools, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine"],"raw_orcid":"https://orcid.org/0000-0001-5814-8268","affiliations":[{"raw_affiliation_string":"Department of Software Tools, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia, Ukraine","institution_ids":["https://openalex.org/I168036236"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40587059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"48980","last_page":"48999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.20990000665187836,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.20990000665187836,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.060100000351667404,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0502999983727932,"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/image","display_name":"Image (mathematics)","score":0.39660000801086426},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.376800000667572},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3375999927520752},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.334199994802475},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.3264000117778778},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.321399986743927},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3183000087738037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083999752998352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934999823570251},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6521000266075134},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3375999927520752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.3264000117778778},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.321399986743927},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.30149999260902405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.25380000472068787}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3674397","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3674397","pdf_url":null,"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:b68f4441dc0c485793465e1c09d26829","is_oa":true,"landing_page_url":"https://doaj.org/article/b68f4441dc0c485793465e1c09d26829","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 14, Pp 48980-48999 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3674397","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3674397","pdf_url":null,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1],"models":[2],"for":[3,82,104,185],"graphic":[4,83],"image":[5,84],"recognition":[6,85,196],"have":[7],"achieved":[8],"strong":[9],"performance":[10],"across":[11],"diagnostics,":[12],"robotics,":[13],"and":[14,76,138,164,176,203,219],"security":[15],"applications,":[16],"yet":[17],"their":[18],"reliability":[19],"decreases":[20],"when":[21],"confronted":[22],"with":[23,70,95,109],"incomplete":[24],"or":[25,52],"redundant":[26,162],"input":[27,149],"data.":[28],"Classical":[29],"neuromodels":[30],"also":[31],"fail":[32],"to":[33,46,113,141,150,179,208],"guarantee":[34],"quick":[35],"recognition,":[36,215],"increasing":[37],"the":[38,49,124],"risk":[39],"of":[40,48],"delayed":[41],"decisions":[42],"that":[43,100],"may":[44],"lead":[45],"deterioration":[47],"object\u2019s":[50],"condition":[51],"misdiagnosis":[53],"in":[54,86,195,200,206,223],"biomedical":[55,87,188,225],"diagnostic":[56,88,226],"systems.":[57,227],"To":[58],"address":[59],"these":[60],"challenges,":[61],"this":[62],"paper":[63],"proposes":[64],"a":[65,71,77,96,151],"Convolutional":[66,97],"Topology":[67,98],"Encoder":[68,99],"integrated":[69],"Kolmogorov\u2013Arnold":[72],"Attention":[73,79,153],"(KAA)":[74],"module":[75],"Context-Aware":[78,152],"Block":[80],"(CTEKA2-GI)":[81],"applications.":[89],"The":[90,118,145],"CTEKA2-GI":[91,212],"neuromodel":[92],"framework":[93],"begins":[94],"combines":[101],"convolutional":[102],"layers":[103],"fine-grained":[105],"local":[106],"feature":[107],"extraction":[108],"persistent-homology-based":[110],"topology":[111],"analysis":[112],"capture":[114],"global":[115],"structural":[116],"invariants.":[117],"extracted":[119],"features":[120],"are":[121,148],"processed":[122],"through":[123],"KAA":[125],"module,":[126],"which":[127,155],"provides":[128],"highly":[129],"expressive":[130],"nonlinear":[131],"transformations":[132],"while":[133],"simultaneously":[134],"capturing":[135],"relational":[136],"dependencies":[137],"assigning":[139],"attention":[140],"structurally":[142],"important":[143],"regions.":[144],"KAA-enhanced":[146],"embeddings":[147,183],"Block,":[154],"dynamically":[156],"emphasizes":[157],"spatially":[158],"relevant":[159],"regions,":[160],"suppresses":[161],"information,":[163],"prioritizes":[165],"context-critical":[166],"cues.":[167],"A":[168],"multi-stage":[169],"fusion":[170],"mechanism":[171],"integrates":[172],"pixel-level,":[173],"geometric,":[174],"topological,":[175],"KAA-transformed":[177],"descriptors":[178],"produce":[180],"shape-aware,":[181],"noise-resistant":[182],"optimized":[184],"real-time":[186,224],"large-scale":[187],"diagnostics.":[189],"Experimental":[190],"evaluations":[191],"demonstrate":[192],"12.8%":[193],"improvement":[194],"accuracy,":[197],"17.4%":[198],"increase":[199],"computational":[201],"efficiency,":[202],"9.6%":[204],"boost":[205],"robustness":[207],"degraded":[209],"inputs.":[210],"Overall,":[211],"ensures":[213],"fast":[214],"minimizes":[216],"object":[217],"deterioration,":[218],"enables":[220],"reliable":[221],"deployment":[222]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-17T00:00:00"}