{"id":"https://openalex.org/W7204256382","doi":"https://doi.org/10.1201/9781003653356-13","title":"AI-powered sign language to speech synthesis with a robotic avatar","display_name":"AI-powered sign language to speech synthesis with a robotic avatar","publication_year":2026,"publication_date":"2026-08-26","ids":{"openalex":"https://openalex.org/W7204256382","doi":"https://doi.org/10.1201/9781003653356-13"},"language":"en","primary_location":{"id":"doi:10.1201/9781003653356-13","doi":"https://doi.org/10.1201/9781003653356-13","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003653356-13","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industry 4.0 and Machine Learning","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W7204221451","display_name":"Industry 4.0 and Machine Learning"},"type":"book-chapter","is_traditional":true,"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/A5120364063","display_name":"Aadil Ferooz","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aadil Ferooz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121359427","display_name":"Hashmat Fida","orcid":"https://orcid.org/0000-0003-0949-7562","observed_orcids":["https://orcid.org/0000-0003-0949-7562"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hashmat Fida","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"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":null,"issue":null,"first_page":"177","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.5928000211715698,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.5928000211715698,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.07569999992847443,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.062199998646974564,"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/predictive-maintenance","display_name":"predictive maintenance","score":0.7799999713897705},{"id":"https://openalex.org/keywords/industrial-machinery","display_name":"industrial machinery","score":0.40400001406669617},{"id":"https://openalex.org/keywords/iot-sensors","display_name":"IoT sensors","score":0.6589999794960022},{"id":"https://openalex.org/keywords/hybrid-cnn-lstm-model","display_name":"CNN-LSTM hybrid model","score":0.8169999718666077},{"id":"https://openalex.org/keywords/fault-detection","display_name":"fault detection","score":0.5379999876022339},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"condition monitoring","score":0.5559999942779541},{"id":"https://openalex.org/keywords/maintenance-cost-reduction","display_name":"maintenance cost reduction","score":0.7149999737739563},{"id":"https://openalex.org/keywords/industry-4-0","display_name":"Industry 4.0","score":0.9380000233650208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7581999897956848},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5939000248908997},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.5070000290870667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4867999851703644},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4083999991416931},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C2775988915","wikidata":"https://www.wikidata.org/wiki/Q5448091","display_name":"Figuring","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3010999858379364},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9781003653356-13","doi":"https://doi.org/10.1201/9781003653356-13","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003653356-13","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industry 4.0 and Machine Learning","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":1.0,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7204255697","https://openalex.org/W4414631685","https://openalex.org/W4411974460","https://openalex.org/W7171503657","https://openalex.org/W4397017380","https://openalex.org/W4234679655","https://openalex.org/W7118556438","https://openalex.org/W7162402445","https://openalex.org/W4412951126","https://openalex.org/W7202033366"],"abstract_inverted_index":{":":[0],"Predictive":[1],"Maintenance":[2],"(PdM)":[3],"is":[4,72,94],"a":[5,96,135,177,250],"key":[6],"idea":[7],"in":[8,35,134,151,164],"the":[9,68,70,99,139,169,186,231,258],"world":[10],"of":[11,18,67,75,98,114,171,230],"Industry":[12],"4.0":[13,265],"that":[14,211,226,255],"makes":[15],"many":[16],"types":[17],"processes":[19],"more":[20,52,241],"reliable":[21],"and":[22,40,54,61,90,116,125,221,243],"effective.":[23],"This":[24,48,93,237],"paper":[25],"talks":[26],"about":[27],"how":[28,168,263],"artificial":[29],"intelligence":[30],"(AI)":[31],"can":[32,215,238],"be":[33,206],"used":[34,108,132,183],"PdM":[36],"systems":[37,60,266],"to":[38,84,109,148,161,184,235,260],"find":[39],"fix":[41],"problems":[42,225],"with":[43],"tools":[44,83,197,217],"before":[45,119,202],"they":[46,120,203],"happen.":[47,121],"keeps":[49],"machines":[50],"running":[51],"efficiently":[53],"extends":[55],"their":[56],"life.":[57],"Powerful":[58],"AI":[59,256],"real-time":[62],"tracking":[63],"data":[64,100,115,147,160],"are":[65,79,107,131,142,155,267],"some":[66],"ways":[69],"study":[71,253],"done.":[73],"Internet":[74],"Things":[76],"(IoT)":[77],"monitors":[78],"put":[80],"on":[81,224,246],"important":[82],"record":[85],"things":[86],"like":[87],"temperature,":[88],"shaking,":[89],"sound":[91],"sources.":[92],"where":[95],"lot":[97],"comes":[101],"from.":[102],"Following":[103],"that,":[104],"ML":[105],"models":[106],"look":[110],"at":[111,144,157,193],"these":[112],"sets":[113],"spot":[117],"issues":[118],"Neuronal":[122],"Networks":[123],"(CNNs)":[124],"Long":[126],"Short-Term":[127],"Memory":[128],"(LSTM)":[129],"networks":[130],"together":[133],"mixed":[136],"model":[137],"for":[138],"study.":[140],"CNNs":[141],"great":[143,156],"using":[145,158],"sensor":[146,159],"get":[149,162],"features":[150],"space,":[152],"while":[153],"LSTMs":[154],"connections":[163],"time.":[165],"They":[166],"show":[167,210],"health":[170],"technology":[172],"changes":[173],"over":[174],"time":[175],"as":[176],"whole.":[178],"Different":[179],"industrial":[180],"settings":[181],"were":[182],"test":[185],"algorithm's":[187],"performance.":[188],"It":[189],"was":[190],"very":[191],"good":[192],"figuring":[194],"out":[195,229],"when":[196],"would":[198,204],"break":[199],"down":[200,223,245],"days":[201],"normally":[205],"found.":[207],"The":[208,252],"results":[209],"this":[212],"AI-driven":[213],"way":[214],"make":[216,239],"last":[218],"25%":[219],"longer":[220],"cut":[222,244],"come":[227],"up":[228,234],"blue":[232],"by":[233,249],"35%.":[236],"production":[240],"stable":[242],"maintenance":[247],"costs":[248],"lot.":[251],"shows":[254],"has":[257],"potential":[259],"completely":[261],"change":[262],"Field":[264],"fixed.":[268]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-27T00:00:00"}
