{"id":"https://openalex.org/W3186014488","doi":"https://doi.org/10.1007/s00521-021-06295-x","title":"GTCC-based BiLSTM deep-learning framework for respiratory sound classification using empirical mode decomposition","display_name":"GTCC-based BiLSTM deep-learning framework for respiratory sound classification using empirical mode decomposition","publication_year":2021,"publication_date":"2021-07-23","ids":{"openalex":"https://openalex.org/W3186014488","doi":"https://doi.org/10.1007/s00521-021-06295-x","mag":"3186014488"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-021-06295-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-021-06295-x","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","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/A5048591674","display_name":"S. Jayalakshmy","orcid":null},"institutions":[{"id":"https://openalex.org/I175691731","display_name":"Pondicherry University","ror":"https://ror.org/01a3mef16","country_code":"IN","type":"education","lineage":["https://openalex.org/I175691731"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Jayalakshmy","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Pondicherry Engineering College, Puducherry, 605 014, India"],"raw_orcid":"https://orcid.org/0000-0001-8876-239X","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Pondicherry Engineering College, Puducherry, 605 014, India","institution_ids":["https://openalex.org/I175691731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101855270","display_name":"Gnanou Florence Sudha","orcid":"https://orcid.org/0000-0002-5471-3255"},"institutions":[{"id":"https://openalex.org/I175691731","display_name":"Pondicherry University","ror":"https://ror.org/01a3mef16","country_code":"IN","type":"education","lineage":["https://openalex.org/I175691731"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gnanou Florence Sudha","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Pondicherry Engineering College, Puducherry, 605 014, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Pondicherry Engineering College, Puducherry, 605 014, India","institution_ids":["https://openalex.org/I175691731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048591674"],"corresponding_institution_ids":["https://openalex.org/I175691731"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.0612,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.92439122,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"33","issue":"24","first_page":"17029","last_page":"17040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11309","display_name":"Music and Audio Processing","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12418","display_name":"Respiratory and Cough-Related Research","score":0.9559999704360962,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/computer-science","display_name":"Computer science","score":0.7093979120254517},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.657906174659729},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6420055627822876},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6282227635383606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6169768571853638},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5453656315803528},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4975416958332062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48800912499427795},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4875304400920868},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47029468417167664},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46512365341186523},{"id":"https://openalex.org/keywords/respiratory-sounds","display_name":"Respiratory sounds","score":0.43396157026290894},{"id":"https://openalex.org/keywords/auscultation","display_name":"Auscultation","score":0.4271222949028015},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40415236353874207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3627939224243164},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2233598530292511},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.21562355756759644},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10082966089248657}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093979120254517},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.657906174659729},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6420055627822876},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6282227635383606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6169768571853638},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5453656315803528},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4975416958332062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48800912499427795},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4875304400920868},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47029468417167664},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46512365341186523},{"id":"https://openalex.org/C2777402568","wikidata":"https://www.wikidata.org/wiki/Q779038","display_name":"Respiratory sounds","level":3,"score":0.43396157026290894},{"id":"https://openalex.org/C2777324038","wikidata":"https://www.wikidata.org/wiki/Q779054","display_name":"Auscultation","level":2,"score":0.4271222949028015},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40415236353874207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3627939224243164},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2233598530292511},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.21562355756759644},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10082966089248657},{"id":"https://openalex.org/C2776042228","wikidata":"https://www.wikidata.org/wiki/Q35869","display_name":"Asthma","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-021-06295-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-021-06295-x","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","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":26,"referenced_works":["https://openalex.org/W1483760094","https://openalex.org/W1978274651","https://openalex.org/W1980128308","https://openalex.org/W2007221293","https://openalex.org/W2008466759","https://openalex.org/W2022760441","https://openalex.org/W2029010243","https://openalex.org/W2047469300","https://openalex.org/W2055821069","https://openalex.org/W2076866543","https://openalex.org/W2093867321","https://openalex.org/W2129140579","https://openalex.org/W2154972348","https://openalex.org/W2168979428","https://openalex.org/W2295562464","https://openalex.org/W2538918575","https://openalex.org/W2754136846","https://openalex.org/W2801920224","https://openalex.org/W2898108270","https://openalex.org/W2898577718","https://openalex.org/W2911746393","https://openalex.org/W2912223386","https://openalex.org/W2946595724","https://openalex.org/W2964439653","https://openalex.org/W3010782015","https://openalex.org/W3212961237"],"related_works":["https://openalex.org/W1840225551","https://openalex.org/W2588063380","https://openalex.org/W2189361085","https://openalex.org/W2970526294","https://openalex.org/W2014300726","https://openalex.org/W3137052369","https://openalex.org/W2050220558","https://openalex.org/W2797025374","https://openalex.org/W2169933977","https://openalex.org/W3092883565"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-24T08:33:08.758527","created_date":"2025-10-10T00:00:00"}
