{"id":"https://openalex.org/W4401851806","doi":"https://doi.org/10.1007/s10115-024-02211-6","title":"Enhancing the performance of deep learning models with fuzzy c-means clustering","display_name":"Enhancing the performance of deep learning models with fuzzy c-means clustering","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401851806","doi":"https://doi.org/10.1007/s10115-024-02211-6"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-024-02211-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-024-02211-6","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information 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/A5101456109","display_name":"Saumya Singh","orcid":"https://orcid.org/0009-0009-2443-3939"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Saumya Singh","raw_affiliation_strings":["Department of Instrumentation and Control Engineering, Netaji Subhas University of Technology, Dwarka, New Delhi, 110078, India"],"affiliations":[{"raw_affiliation_string":"Department of Instrumentation and Control Engineering, Netaji Subhas University of Technology, Dwarka, New Delhi, 110078, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043736908","display_name":"Smriti Srivastava","orcid":"https://orcid.org/0000-0001-5678-7058"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Smriti Srivastava","raw_affiliation_strings":["Department of Instrumentation and Control Engineering, Netaji Subhas University of Technology, Dwarka, New Delhi, 110078, India"],"affiliations":[{"raw_affiliation_string":"Department of Instrumentation and Control Engineering, Netaji Subhas University of Technology, Dwarka, New Delhi, 110078, India","institution_ids":["https://openalex.org/I36090812"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101456109"],"corresponding_institution_ids":["https://openalex.org/I36090812"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":2.5366,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90362464,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"66","issue":"12","first_page":"7627","last_page":"7665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980000257492065,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"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":0.7249450087547302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6902363896369934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6727036237716675},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6519813537597656},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.587151288986206},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5474011898040771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47630298137664795},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45075058937072754},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.430469274520874},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4158601760864258},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40043726563453674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3521970212459564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18771350383758545},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13704776763916016}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7249450087547302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6902363896369934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6727036237716675},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6519813537597656},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.587151288986206},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5474011898040771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47630298137664795},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45075058937072754},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.430469274520874},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4158601760864258},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40043726563453674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3521970212459564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18771350383758545},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13704776763916016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10115-024-02211-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-024-02211-6","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information 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":29,"referenced_works":["https://openalex.org/W1995450389","https://openalex.org/W2064675550","https://openalex.org/W2138484437","https://openalex.org/W2158679639","https://openalex.org/W2572939427","https://openalex.org/W2792291202","https://openalex.org/W2885195348","https://openalex.org/W2944851425","https://openalex.org/W2950635152","https://openalex.org/W2968629186","https://openalex.org/W3034966431","https://openalex.org/W3038448533","https://openalex.org/W3136562360","https://openalex.org/W3139044850","https://openalex.org/W4205495647","https://openalex.org/W4221023673","https://openalex.org/W4223988676","https://openalex.org/W4288050066","https://openalex.org/W4310634273","https://openalex.org/W4316035371","https://openalex.org/W4319939964","https://openalex.org/W4322631283","https://openalex.org/W4380882027","https://openalex.org/W4385076203","https://openalex.org/W4386918906","https://openalex.org/W4387184752","https://openalex.org/W4388206621","https://openalex.org/W4391538449","https://openalex.org/W4400036080"],"related_works":["https://openalex.org/W3008584592","https://openalex.org/W2964006806","https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}