{"id":"https://openalex.org/W4324290257","doi":"https://doi.org/10.1109/access.2023.3257032","title":"Elastic Net Penalized Quantile Regression Model and Empirical Mode Decomposition for Improving the Accuracy of the Model Selection","display_name":"Elastic Net Penalized Quantile Regression Model and Empirical Mode Decomposition for Improving the Accuracy of the Model Selection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4324290257","doi":"https://doi.org/10.1109/access.2023.3257032"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3257032","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3257032","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10068498.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10068498.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054686604","display_name":"Ali S. A. Ambark","orcid":"https://orcid.org/0000-0002-9516-7350"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]},{"id":"https://openalex.org/I153265617","display_name":"Sebha University","ror":"https://ror.org/04m1ha467","country_code":"LY","type":"education","lineage":["https://openalex.org/I153265617"]}],"countries":["LY","MY"],"is_corresponding":false,"raw_author_name":"Ali S. A. Ambark","raw_affiliation_strings":["School of Mathematical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia","Department of Statistics, Faculty of Science, Sebha University, Libya"],"raw_orcid":"https://orcid.org/0000-0002-9516-7350","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia","institution_ids":["https://openalex.org/I139322472"]},{"raw_affiliation_string":"Department of Statistics, Faculty of Science, Sebha University, Libya","institution_ids":["https://openalex.org/I153265617"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019709998","display_name":"Mohd Tahir Ismail","orcid":"https://orcid.org/0000-0003-2747-054X"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Tahir Ismail","raw_affiliation_strings":["School of Mathematical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia"],"raw_orcid":"https://orcid.org/0000-0003-2747-054X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038163635","display_name":"Abdullah S. Al-Jawarneh","orcid":"https://orcid.org/0000-0001-7684-9017"},"institutions":[{"id":"https://openalex.org/I48714440","display_name":"Jerash University","ror":"https://ror.org/047mw5m74","country_code":"JO","type":"education","lineage":["https://openalex.org/I48714440"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Abdullah S. Al-Jawarneh","raw_affiliation_strings":["Department of Mathematics, Faculty of Science, Jerash University, Jerash, Jordan"],"raw_orcid":"https://orcid.org/0000-0001-7684-9017","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Faculty of Science, Jerash University, Jerash, Jordan","institution_ids":["https://openalex.org/I48714440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079171037","display_name":"Samsul Ariffin Abdul Karim","orcid":"https://orcid.org/0000-0001-6518-6705"},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Samsul Ariffin Abdul Karim","raw_affiliation_strings":["Software Engineering Program, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia","Faculty of Computing and Informatics, Data Technologies and Applications (DaTA) Research Group, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, Sabah, Malaysia","Software Engineering Programme, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, Sabah, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-6518-6705","affiliations":[{"raw_affiliation_string":"Software Engineering Program, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia","institution_ids":["https://openalex.org/I161371597"]},{"raw_affiliation_string":"Faculty of Computing and Informatics, Data Technologies and Applications (DaTA) Research Group, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, Sabah, Malaysia","institution_ids":["https://openalex.org/I161371597"]},{"raw_affiliation_string":"Software Engineering Programme, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, Sabah, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9253,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6984854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"26152","last_page":"26162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9919999837875366,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9919999837875366,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multicollinearity","display_name":"Multicollinearity","score":0.8059816956520081},{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.7312051653862},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.72834712266922},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6386424899101257},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.6331369280815125},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.515086829662323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45660829544067383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4355343282222748},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.43285804986953735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35674336552619934},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32087886333465576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23455438017845154}],"concepts":[{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.8059816956520081},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.7312051653862},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.72834712266922},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6386424899101257},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.6331369280815125},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.515086829662323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45660829544067383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4355343282222748},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.43285804986953735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35674336552619934},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32087886333465576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23455438017845154},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3257032","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3257032","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10068498.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:85fa5b015290466d97744597686f541f","is_oa":true,"landing_page_url":"https://doaj.org/article/85fa5b015290466d97744597686f541f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 26152-26162 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3257032","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3257032","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10068498.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2965330000","display_name":null,"funder_award_id":"UMS/PPI-DPJ1","funder_id":"https://openalex.org/F4320323704","funder_display_name":"Universiti Malaysia Sabah"}],"funders":[{"id":"https://openalex.org/F4320322757","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63"},{"id":"https://openalex.org/F4320323704","display_name":"Universiti Malaysia Sabah","ror":"https://ror.org/040v70252"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4324290257.pdf","grobid_xml":"https://content.openalex.org/works/W4324290257.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1975994995","https://openalex.org/W1981463702","https://openalex.org/W1995190797","https://openalex.org/W2000562131","https://openalex.org/W2007221293","https://openalex.org/W2014725748","https://openalex.org/W2032871006","https://openalex.org/W2083366592","https://openalex.org/W2119835883","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2328812057","https://openalex.org/W2575755675","https://openalex.org/W2584612193","https://openalex.org/W2586047144","https://openalex.org/W2751868120","https://openalex.org/W2809761809","https://openalex.org/W2913139111","https://openalex.org/W2966241625","https://openalex.org/W2981937801","https://openalex.org/W3042750953","https://openalex.org/W3106672452","https://openalex.org/W3108460484","https://openalex.org/W3124349228","https://openalex.org/W3125188740","https://openalex.org/W3125878009","https://openalex.org/W3131454301","https://openalex.org/W3146073576","https://openalex.org/W4210629767","https://openalex.org/W4213003039","https://openalex.org/W4241653265","https://openalex.org/W4246234845","https://openalex.org/W4249691579","https://openalex.org/W4256555983","https://openalex.org/W4285271528","https://openalex.org/W4302425616","https://openalex.org/W4394671266","https://openalex.org/W6864233773"],"related_works":["https://openalex.org/W2468272465","https://openalex.org/W2429564919","https://openalex.org/W757986597","https://openalex.org/W4392841950","https://openalex.org/W4206511378","https://openalex.org/W4206618949","https://openalex.org/W4212910148","https://openalex.org/W4213314600","https://openalex.org/W4210804200","https://openalex.org/W4317475364"],"abstract_inverted_index":{"In":[0],"quantile":[1,22,26,32,125],"regression":[2,33,86,126],"models,":[3],"numerous":[4],"penalization":[5],"methods":[6,18,197],"have":[7],"been":[8],"developed":[9],"to":[10,80,99,113,131,137,156],"deal":[11],"with":[12,44,91],"ordinary":[13],"least-squares":[14],"method":[15,96,136],"problems.":[16],"Such":[17],"are":[19,35,60,73],"ridge":[20],"penalized":[21,25,31,124],"regression,":[23,27],"lasso":[24],"and":[28,40,42,76,88,117,161,177],"elastic":[29],"net":[30],"which":[34,68,78,103],"used":[36],"for":[37],"variable":[38,155],"selection":[39],"regularization":[41],"deals":[43],"the":[45,52,56,84,107,120,133,139,142,146,153,169,172,187,195],"multicollinearity":[46,170],"problem":[47],"when":[48],"it":[49],"exists":[50],"between":[51,171],"predictor":[53,150],"variables.":[54],"However,":[55],"variables":[57,151],"of":[58,83,105,141,145],"interest":[59],"often":[61,74],"represented":[62],"through":[63],"time":[64,70,114,148],"series":[65,71,115,149],"processes,":[66],"in":[67,123,191],"such":[69],"data":[72,116],"non-stationary":[75],"non-linear,":[77],"leads":[79],"poor":[81],"accuracy":[82],"resultant":[85],"models":[87],"hence":[89],"results":[90,184],"less":[92],"reliability.":[93],"The":[94,183],"EMD-EnetQR":[95],"is":[97],"proposed":[98,134,188],"address":[100],"this":[101,166],"issue,":[102],"consists":[104],"applying":[106],"empirical":[108],"mode":[109],"decomposition":[110,143,173],"(EMD)":[111],"algorithm":[112],"then":[118],"using":[119],"resulting":[121],"components":[122,144],"models.":[127],"This":[128],"study":[129,167],"aims":[130],"apply":[132],"EMD-QREnet":[135,189],"determine":[138],"influence":[140],"original":[147],"on":[152],"response":[154],"build":[157],"a":[158],"model":[159],"fit":[160],"improve":[162],"prediction":[163,200],"accuracy.":[164,201],"Furthermore,":[165],"addressed":[168],"components.":[174],"Simulation":[175],"studies":[176],"real":[178],"dataset":[179],"applications":[180],"were":[181],"conducted.":[182],"show":[185],"that":[186],"method,":[190],"most":[192],"cases,":[193],"outperforms":[194],"other":[196],"by":[198],"improving":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}