{"id":"https://openalex.org/W7132823945","doi":"https://doi.org/10.1186/s40537-026-01367-y","title":"An AI-driven multimodal developmental disability detection and intervention framework using enhanced speech and behavioral analysis with BioNeuroFusionNet classification","display_name":"An AI-driven multimodal developmental disability detection and intervention framework using enhanced speech and behavioral analysis with BioNeuroFusionNet classification","publication_year":2026,"publication_date":"2026-02-28","ids":{"openalex":"https://openalex.org/W7132823945","doi":"https://doi.org/10.1186/s40537-026-01367-y"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-026-01367-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-026-01367-y","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s40537-026-01367-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125165617","display_name":"Khalil Hamdi Ateyeh Al-Shqeerat","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Khalil Hamdi Ateyeh Al-Shqeerat","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039565798","display_name":"Ahmad Abadleh","orcid":"https://orcid.org/0000-0003-0877-3908"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmad Hamed AL Abadleh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125151431","display_name":"Ashit Kumar Dutta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashit Kumar Dutta","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125245755","display_name":"Ghanshyam G. Tejani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghanshyam G. Tejani","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127589587","display_name":"Sunil Kumar Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sunil Kumar Sharma","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019996443","display_name":"Seyed Jalaleddin Mousavirad","orcid":"https://orcid.org/0000-0001-8661-7578"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seyed Jalaleddin Mousavirad","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5125165617"],"corresponding_institution_ids":[],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65326605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.17010000348091125,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10863","display_name":"Voice and Speech Disorders","score":0.17010000348091125,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10730","display_name":"Language Development and Disorders","score":0.11479999870061874,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11060","display_name":"Infant Development and Preterm Care","score":0.09359999746084213,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/feature-extraction","display_name":"Feature extraction","score":0.5526000261306763},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4341999888420105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4027000069618225},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.3781999945640564},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.3702000081539154},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.3677000105381012},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3538999855518341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069000244140625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5634999871253967},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5526000261306763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5063999891281128},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4341999888420105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4027000069618225},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3781999945640564},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3677000105381012},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3538999855518341},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31529998779296875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.29440000653266907},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.25949999690055847}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s40537-026-01367-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-026-01367-y","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:miun-56909","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-56909","pdf_url":null,"source":{"id":"https://openalex.org/S4306400653","display_name":"Diva portal (Dalarna University Library)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:33bf053100ec436d96f2e26c91746925","is_oa":true,"landing_page_url":"https://doaj.org/article/33bf053100ec436d96f2e26c91746925","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 13, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-026-01367-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-026-01367-y","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8615853786468506,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W4285728466","https://openalex.org/W4310189428","https://openalex.org/W4318484096","https://openalex.org/W4327517971","https://openalex.org/W4388951116","https://openalex.org/W4393866098","https://openalex.org/W4398774547","https://openalex.org/W4399076484","https://openalex.org/W4399262329","https://openalex.org/W4399486345","https://openalex.org/W4399615877","https://openalex.org/W4403466079","https://openalex.org/W4404521064","https://openalex.org/W4404545362","https://openalex.org/W4405491475","https://openalex.org/W4405716904","https://openalex.org/W4407737449","https://openalex.org/W4407903129","https://openalex.org/W4408018552","https://openalex.org/W4408280844"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Effective":[1],"intervention":[2,229],"and":[3,14,31,62,72,80,90,129,168,195,203,228],"detection":[4],"of":[5,108,119,150,164,225,230],"developmental":[6,231],"disabilities":[7],"(DDs)":[8],"should":[9],"be":[10],"carried":[11],"out":[12],"early":[13,226],"accurately.":[15],"This":[16],"paper":[17],"discusses":[18],"a":[19,35,84,219],"novel":[20,85,137],"AI-based":[21],"approach":[22],"for":[23,65,77,121,141,161,171,190,193],"detecting":[24],"DDs":[25],"precisely,":[26],"by":[27],"incorporating":[28],"both":[29],"speech":[30,71],"behavioral":[32],"data":[33,166],"in":[34,199,215,222],"unique":[36],"manner.":[37],"The":[38,99,126,144,176],"new":[39],"architecture":[40,183],"comprises":[41],"several":[42],"key":[43],"stages,":[44],"with":[45,92,114,186],"innovations":[46],"attributed":[47],"to":[48,58],"the":[49,96,105,109,115,123,136,212,223],"system:":[50],"Enhanced":[51],"Gaussian-Based":[52],"Noise":[53],"Filtering":[54],"(EGNF)":[55],"is":[56,146],"used":[57],"enhance":[59],"speech;":[60],"Conv-BiLSTM":[61],"Transformer":[63],"Embeddings":[64],"performing":[66],"strong":[67],"feature":[68,78,116,124],"extraction":[69],"from":[70],"behavior;":[73],"Harmony-ReliefF":[74,100],"Optimization":[75,101],"(HRO)":[76,102],"selection,":[79],"BioNeuroFusionNet":[81,138],"(BNFN)":[82,139],"as":[83,95],"classification":[86],"network":[87],"integrating":[88],"IndRNN":[89],"MnasNet,":[91],"GNA":[93],"selected":[94,128],"class":[97],"superiors.":[98],"strategy":[103],"combines":[104],"exploration":[106],"capabilities":[107],"Harmony":[110],"Search":[111],"Algorithm":[112],"(HSA)":[113],"ranking":[117],"ability":[118],"ReliefF":[120],"optimizing":[122],"space.":[125],"features":[127],"optimally":[130],"extracted":[131],"are":[132,159],"then":[133],"fed":[134],"into":[135],"intended":[140],"final":[142],"classification.":[143],"BNFN":[145],"another":[147],"significant":[148],"contribution":[149],"this":[151,181,216],"work,":[152],"where":[153],"Independently":[154],"Recurrent":[155],"Neural":[156],"Networks":[157],"(IndRNN)":[158],"incorporated":[160],"fast":[162],"processing":[163],"sequential":[165],"set":[167],"MnasNet":[169],"(MN)":[170],"extracting":[172],"high-level":[173],"abstract":[174],"features.":[175],"experimental":[177],"result":[178],"indicates":[179],"that":[180,211],"integrated":[182],"works":[184],"effectively":[185],"high":[187,197],"accuracy":[188],"(0.98942":[189],"voice;":[191],"0.99632":[192],"behavior)":[194],"very":[196],"scores":[198],"precision,":[200],"recall,":[201],"specificity,":[202],"other":[204],"relevant":[205],"metrics.":[206],"Indeed,":[207],"these":[208],"results":[209],"indicate":[210],"system":[213],"proposed":[214],"work":[217],"represents":[218],"considerable":[220],"improvement":[221],"area":[224],"diagnosis":[227],"disorders.":[232]},"counts_by_year":[],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2026-03-01T00:00:00"}
