{"id":"https://openalex.org/W4416113402","doi":"https://doi.org/10.1080/01969722.2025.2577925","title":"Deep Learning-Based Chatbox with Attention Bidirectional Recurrent Network-Based Puffer Fish Search for Improved Accessibility and Cost Reduction","display_name":"Deep Learning-Based Chatbox with Attention Bidirectional Recurrent Network-Based Puffer Fish Search for Improved Accessibility and Cost Reduction","publication_year":2025,"publication_date":"2025-11-11","ids":{"openalex":"https://openalex.org/W4416113402","doi":"https://doi.org/10.1080/01969722.2025.2577925"},"language":"en","primary_location":{"id":"doi:10.1080/01969722.2025.2577925","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2025.2577925","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","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/A5022433959","display_name":"P. Arun Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Arun Babu","raw_affiliation_strings":["Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University)","Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University)","institution_ids":["https://openalex.org/I875944469"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Andhra Pradesh, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085452285","display_name":"B. Sekhar Babu","orcid":"https://orcid.org/0009-0008-9391-8924"},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Boddu Sekhar Babu","raw_affiliation_strings":["Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University)","Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University)","institution_ids":["https://openalex.org/I875944469"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Andhra Pradesh, India","institution_ids":["https://openalex.org/I875944469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022433959"],"corresponding_institution_ids":["https://openalex.org/I875944469"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51906633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":"5","first_page":"808","last_page":"836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12481","display_name":"Digital Accessibility for Disabilities","score":0.1673000007867813,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12481","display_name":"Digital Accessibility for Disabilities","score":0.1673000007867813,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.07079999893903732,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.06650000065565109,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/reduction","display_name":"Reduction (mathematics)","score":0.4641000032424927},{"id":"https://openalex.org/keywords/fish-actinopterygii","display_name":"Fish <Actinopterygii>","score":0.44290000200271606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.24169999361038208},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22030000388622284},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.21930000185966492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5181999802589417},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C2909208804","wikidata":"https://www.wikidata.org/wiki/Q127282","display_name":"Fish <Actinopterygii>","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4415999948978424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.24169999361038208},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2378000020980835},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22030000388622284},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.21930000185966492},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.21709999442100525},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.2142000049352646}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969722.2025.2577925","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2025.2577925","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","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":25,"referenced_works":["https://openalex.org/W2077679950","https://openalex.org/W2885195348","https://openalex.org/W2951635356","https://openalex.org/W3024836211","https://openalex.org/W3039358234","https://openalex.org/W3091174347","https://openalex.org/W3094067205","https://openalex.org/W3148433189","https://openalex.org/W4235025505","https://openalex.org/W4280535922","https://openalex.org/W4293053863","https://openalex.org/W4297965481","https://openalex.org/W4311134591","https://openalex.org/W4312212221","https://openalex.org/W4312673831","https://openalex.org/W4312704644","https://openalex.org/W4315649305","https://openalex.org/W4322501728","https://openalex.org/W4322718967","https://openalex.org/W4322769897","https://openalex.org/W4360858880","https://openalex.org/W4386819328","https://openalex.org/W4388505260","https://openalex.org/W4390102952","https://openalex.org/W4391145932"],"related_works":[],"abstract_inverted_index":{"Improving":[0],"the":[1,11,24,61,70,78,89,122,150,155,167,176],"accessibility":[2],"to":[3,94,112],"medical":[4,25,38,65,116],"knowledge":[5],"and":[6,34,191,194,198],"reducing":[7],"healthcare":[8,96],"costs":[9],"are":[10,139,196],"two":[12],"objectives":[13],"of":[14,63,88,124,131,136,152,169,178,183,186,189],"Chatbox,":[15],"which":[16,109],"is":[17,49,110],"specified":[18],"as":[19,31],"an":[20,85,163],"interactive":[21],"program.":[22],"Currently,":[23],"chatboxes":[26],"encounter":[27],"some":[28],"problems":[29],"such":[30],"imprecise":[32],"responses,":[33],"insufficient":[35],"understanding":[36,64,87],"during":[37],"conversations.":[39],"To":[40],"carry":[41],"out":[42,162],"this,":[43],"a":[44],"chatbox-based":[45],"deep":[46],"learning":[47],"model":[48,76,138],"developed":[50],"called":[51],"Attention":[52],"Bidirectional":[53,71,99],"Recurrent":[54,105],"network-based":[55],"puffer":[56,145],"fish":[57,146],"search":[58,147],"algorithm.":[59,148],"For":[60,149],"purpose":[62,151],"queries":[66],"with":[67,104],"high-level":[68],"accuracy,":[69],"Encoder":[72],"Representation":[73],"from":[74],"Transformer":[75],"processes":[77],"chatbot":[79],"effectively.":[80],"The":[81,118,134,172],"proposed":[82,125,137,157,179],"work":[83,160],"gains":[84],"overall":[86],"input":[90,132],"sequences":[91],"in":[92],"order":[93],"improve":[95],"communication":[97],"by":[98,127,141],"Long":[100],"Short":[101],"Term":[102],"Memory":[103],"Neural":[106],"Network":[107],"model,":[108,158],"able":[111],"capture":[113],"information":[114],"using":[115],"contexts.":[117],"attention":[119,129],"mechanism":[120],"enhances":[121],"capability":[123],"system":[126],"calculating":[128],"weights":[130],"sequences.":[133],"hyperparameters":[135],"tuned":[140],"selecting":[142],"parameters":[143],"utilizing":[144],"gauging":[153],"efficiency":[154,177],"suggested":[156],"this":[159],"carried":[161],"experimental":[164],"analysis":[165],"encompassing":[166],"utilization":[168],"evaluation":[170,173],"parameters.":[171],"measures":[174],"appraise":[175],"method":[180],"reaches":[181],"F1-score":[182],"97.7%":[184],"precision":[185],"97.3%":[187],"recall":[188],"96.5%":[190],"its":[192],"MRR":[193],"accuracy":[195],"0.80%":[197],"98.9%.":[199]},"counts_by_year":[],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-11-11T00:00:00"}