{"id":"https://openalex.org/W7130835149","doi":"https://doi.org/10.11591/ijai.v15.i1.pp810-823","title":"Neuro-DANet: dual attention deep neural network long short term memory for autism spectrum disorder detection","display_name":"Neuro-DANet: dual attention deep neural network long short term memory for autism spectrum disorder detection","publication_year":2026,"publication_date":"2026-02-01","ids":{"openalex":"https://openalex.org/W7130835149","doi":"https://doi.org/10.11591/ijai.v15.i1.pp810-823"},"language":"en","primary_location":{"id":"doi:10.11591/ijai.v15.i1.pp810-823","doi":"https://doi.org/10.11591/ijai.v15.i1.pp810-823","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijai.v15.i1.pp810-823","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/29517/14981","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/29517/14981","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115698778","display_name":"H. Sujatha","orcid":"https://orcid.org/0009-0008-9949-275X","observed_orcids":["https://orcid.org/0009-0008-9949-275X"]},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sujatha Hanumantharayappa","raw_affiliation_strings":["REVA University"],"raw_orcid":"https://orcid.org/0009-0008-9949-275X","affiliations":[{"raw_affiliation_string":"REVA University","institution_ids":["https://openalex.org/I83737708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050188124","display_name":"Manjula R. Bharamagoudra","orcid":"https://orcid.org/0000-0002-6277-9385","observed_orcids":["https://orcid.org/0000-0002-6277-9385"]},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manjula Rudragouda Bharamagoudra","raw_affiliation_strings":["REVA University"],"raw_orcid":"https://orcid.org/0000-0002-6277-9385","affiliations":[{"raw_affiliation_string":"REVA University","institution_ids":["https://openalex.org/I83737708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83737708"],"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":"15","issue":"1","first_page":"810","last_page":"810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10106","display_name":"Autism Spectrum Disorder Research","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10106","display_name":"Autism Spectrum Disorder Research","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autism-spectrum-disorder-detection","display_name":"autism spectrum disorder detection","score":0.890999972820282},{"id":"https://openalex.org/keywords/fmri","display_name":"functional MRI","score":0.5920000076293945},{"id":"https://openalex.org/keywords/dual-attention-mechanism","display_name":"dual attention mechanism","score":0.6980000138282776},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.8949999809265137},{"id":"https://openalex.org/keywords/spatiotemporal-feature-learning","display_name":"spatiotemporal feature learning","score":0.7960000038146973},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"continuous wavelet transform","score":0.9800000190734863},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.8050000071525574},{"id":"https://openalex.org/keywords/abide-dataset","display_name":"ABIDE dataset","score":0.5740000009536743},{"id":"https://openalex.org/keywords/early-diagnosis","display_name":"early diagnosis","score":0.4880000054836273},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"neuroimaging","score":0.5799999833106995}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8736000061035156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7857000231742859},{"id":"https://openalex.org/C2778538070","wikidata":"https://www.wikidata.org/wiki/Q1436063","display_name":"Autism spectrum disorder","level":3,"score":0.7081000208854675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6437000036239624},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5947999954223633},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.5914000272750854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5454000234603882},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4713999927043915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.44670000672340393},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3982999920845032},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C205778803","wikidata":"https://www.wikidata.org/wiki/Q38404","display_name":"Autism","level":2,"score":0.3824000060558319},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.35269999504089355},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3303000032901764},{"id":"https://openalex.org/C179226034","wikidata":"https://www.wikidata.org/wiki/Q18599","display_name":"Short-term memory","level":4,"score":0.2833999991416931},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C3019722297","wikidata":"https://www.wikidata.org/wiki/Q4440864","display_name":"High dimensional","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C2777154362","wikidata":"https://www.wikidata.org/wiki/Q7575316","display_name":"Spectrum disorder","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2581999897956848},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2524000108242035},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.11591/ijai.v15.i1.pp810-823","doi":"https://doi.org/10.11591/ijai.v15.i1.pp810-823","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijai.v15.i1.pp810-823","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/29517/14981","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.11591/ijai.v15.i1.pp810-823","doi":"https://doi.org/10.11591/ijai.v15.i1.pp810-823","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijai.v15.i1.pp810-823","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/29517/14981","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9476000070571899,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320736","display_name":"All India Council for Technical Education","ror":"https://ror.org/00xcd7y72"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7130835149.pdf","grobid_xml":"https://content.openalex.org/works/W7130835149.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W4386965633","https://openalex.org/W4389620466","https://openalex.org/W4390445259","https://openalex.org/W4391319010","https://openalex.org/W4391930719","https://openalex.org/W4392555057","https://openalex.org/W4394060958","https://openalex.org/W4395011955","https://openalex.org/W4399921426","https://openalex.org/W4399951612","https://openalex.org/W4400885802","https://openalex.org/W4402039647","https://openalex.org/W4402184853","https://openalex.org/W4402735257","https://openalex.org/W4403138066","https://openalex.org/W4403692915","https://openalex.org/W4404367607","https://openalex.org/W4405037962","https://openalex.org/W4405962849","https://openalex.org/W4406021311","https://openalex.org/W4406689859","https://openalex.org/W4406834614","https://openalex.org/W4407406459","https://openalex.org/W4407795460","https://openalex.org/W4408224992"],"related_works":["https://openalex.org/W3155786160","https://openalex.org/W4388636696","https://openalex.org/W4402194601","https://openalex.org/W3093225483","https://openalex.org/W4413626833","https://openalex.org/W7117135012","https://openalex.org/W3011609476","https://openalex.org/W7128792810","https://openalex.org/W7130709084","https://openalex.org/W4389475322"],"abstract_inverted_index":{"Autism":[0],"spectrum":[1],"disorder":[2],"(ASD)":[3],"is":[4,18,27,104,116],"neurological":[5],"illness":[6],"affects":[7],"ability":[8],"of":[9,25,133,159],"individuals":[10],"to":[11,31,49,89,106,118,149],"communicate":[12],"and":[13,16,35,66,93,110,124,142,168],"interact":[14],"socially,":[15],"it":[17],"diagnosed":[19],"in":[20,54,62],"any":[21],"time.":[22],"Early":[23],"detection":[24,41,64],"ASD":[26,150],"especially":[28],"significant":[29],"due":[30],"its":[32],"subtle":[33],"characteristics":[34],"high":[36],"costs":[37],"associated":[38],"with":[39,83,175],"the":[40,73,111,131,134,156],"process.":[42],"Traditional":[43],"deep":[44,79],"learning":[45],"(DL)":[46],"models":[47],"struggle":[48],"capture":[50],"intricate":[51],"spatiotemporal":[52],"dependencies":[53],"functional":[55],"magnetic":[56],"resonance":[57],"imaging":[58,164],"(fMRI)":[59],"data,":[60],"resulting":[61],"minimized":[63],"performance":[65],"poor":[67],"generalization.":[68],"To":[69],"address":[70],"these":[71],"drawbacks,":[72],"proposed":[74],"Neuro-DANet":[75,154],"combines":[76],"a":[77],"dual-attention":[78],"neural":[80],"network":[81],"(DA-DNN)":[82],"long":[84],"short":[85],"term":[86],"memory":[87],"(LSTM)":[88],"efficiently":[90],"learn":[91],"spatial":[92],"temporal":[94],"features":[95,109],"from":[96],"fMRI":[97],"scans.":[98],"The":[99,126,152],"continuous":[100],"wavelet":[101],"transform":[102],"(CWT)":[103],"used":[105],"extract":[107],"multi-scale":[108],"principal":[112],"component":[113],"analysis":[114],"(PCA)":[115],"utilized":[117],"dimensionality":[119],"reduction,":[120],"which":[121],"enhances":[122],"robustness":[123],"efficacy.":[125],"dual":[127],"self-attention":[128],"mechanism":[129],"improves":[130],"interpretability":[132],"model":[135],"by":[136],"focusing":[137],"on":[138,161,170],"critical":[139],"brain":[140,163],"regions":[141],"time":[143],"steps":[144],"that":[145],"are":[146],"most":[147],"relevant":[148],"severity.":[151],"developed":[153],"obtains":[155],"highest":[157],"accuracy":[158],"98.51%":[160],"autism":[162],"data":[165],"exchange":[166],"(ABIDE)-I":[167],"98.81%":[169],"ABIDE-II":[171],"datasets":[172],"when":[173],"compared":[174],"traditional":[176],"algorithms.":[177]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-02-22T00:00:00"}