{"id":"https://openalex.org/W4416991291","doi":"https://doi.org/10.1504/ijahuc.2025.150220","title":"A novel approach for brain thoughts to text conversion using average golden search optimisation and deep recurrent neural network","display_name":"A novel approach for brain thoughts to text conversion using average golden search optimisation and deep recurrent neural network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416991291","doi":"https://doi.org/10.1504/ijahuc.2025.150220"},"language":"en","primary_location":{"id":"doi:10.1504/ijahuc.2025.150220","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijahuc.2025.150220","pdf_url":null,"source":{"id":"https://openalex.org/S97070762","display_name":"International Journal of Ad Hoc and Ubiquitous Computing","issn_l":"1743-8225","issn":["1743-8225","1743-8233"],"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 Ad Hoc and Ubiquitous Computing","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/A5002861024","display_name":"Adnan Ahmed","orcid":"https://orcid.org/0000-0001-5442-6929"},"institutions":[{"id":"https://openalex.org/I151746803","display_name":"NED University of Engineering and Technology","ror":"https://ror.org/05db8zr24","country_code":"PK","type":"education","lineage":["https://openalex.org/I151746803"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Adnan Ahmed","raw_affiliation_strings":["Department of Computer Science and Information Technology, NED University of Engineering and Technology, Karachi - 75270, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, NED University of Engineering and Technology, Karachi - 75270, Pakistan","institution_ids":["https://openalex.org/I151746803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120633946","display_name":"Waseemullah Nazir","orcid":null},"institutions":[{"id":"https://openalex.org/I151746803","display_name":"NED University of Engineering and Technology","ror":"https://ror.org/05db8zr24","country_code":"PK","type":"education","lineage":["https://openalex.org/I151746803"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Waseemullah Nazir","raw_affiliation_strings":["Department of Computer Science and Information Technology, NED University of Engineering and Technology, Karachi - 75270, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, NED University of Engineering and Technology, Karachi - 75270, Pakistan","institution_ids":["https://openalex.org/I151746803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151746803"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26522127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"4","first_page":"205","last_page":"222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.930400013923645,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.930400013923645,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.004699999932199717,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.0038999998942017555,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6545000076293945},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5974000096321106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5795000195503235},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5720999836921692},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5716000199317932},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.557699978351593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8052999973297119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6988000273704529},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6545000076293945},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5974000096321106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5720999836921692},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5716000199317932},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.557699978351593},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.45669999718666077},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.44510000944137573},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4426000118255615},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.423799991607666},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2799000144004822}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijahuc.2025.150220","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijahuc.2025.150220","pdf_url":null,"source":{"id":"https://openalex.org/S97070762","display_name":"International Journal of Ad Hoc and Ubiquitous Computing","issn_l":"1743-8225","issn":["1743-8225","1743-8233"],"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 Ad Hoc and Ubiquitous Computing","raw_type":"journal-article"}],"best_oa_location":null,"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":{"This":[0],"research":[1],"proposes":[2],"a":[3,54,100,127],"brain":[4,19],"signals-to-text":[5],"converting":[6],"framework":[7],"using":[8,17,80],"optimisation-enabled":[9],"deep":[10,55],"learning.":[11],"Here,":[12,53],"conversion":[13,136],"is":[14,36,60,78,116],"carried":[15],"out":[16],"the":[18,25,64,67,72,76,81,89,97,104,113,123],"electroencephalogram":[20],"(EEG)":[21],"signals":[22,69],"based":[23,70],"on":[24,71],"neural":[26,57],"activity":[27],"corresponding":[28],"to":[29,38,62],"attempted":[30],"imaginary":[31],"statements/questions.":[32],"The":[33,109],"EEG":[34,68],"signal":[35,42,44],"subjected":[37],"various":[39],"processes,":[40],"like":[41],"pre-processing,":[43],"segmentation,":[45],"feature":[46],"extraction,":[47],"character":[48],"recognition,":[49],"and":[50,75,122,132,143],"language":[51,101],"modelling.":[52],"recurrent":[56],"network":[58],"(DRNN)":[59],"employed":[61],"recognise":[63],"words":[65,91],"in":[66],"extracted":[73],"features,":[74],"DRNN":[77],"trained":[79],"average":[82],"golden":[83],"search":[84],"optimisation":[85],"(AGSO)":[86],"algorithm.":[87],"Additionally,":[88],"successive":[90],"or":[92],"characters":[93],"are":[94],"estimated":[95],"by":[96],"usage":[98],"of":[99,112,138],"modelling":[102],"with":[103,118],"Gaussian":[105],"mixture":[106],"model":[107,125],"(GMM).":[108],"experimental":[110],"validation":[111],"proposed":[114,124],"AGSO-DRNN":[115],"compared":[117],"other":[119],"conventional":[120],"techniques":[121],"attained":[126],"maximum":[128],"F-measure,":[129],"MSE,":[130],"precision,":[131],"sensitivity,":[133],"recall,":[134],"text":[135],"accuracy":[137],"0.888,":[139],"0.005,":[140],"0.917,":[141],"0.891":[142],"0.873":[144],"respectively.":[145]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-12-04T00:00:00"}