{"id":"https://openalex.org/W4402480963","doi":"https://doi.org/10.3390/e26090783","title":"Time Sequence Deep Learning Model for Ubiquitous Tabular Data with Unique 3D Tensors Manipulation","display_name":"Time Sequence Deep Learning Model for Ubiquitous Tabular Data with Unique 3D Tensors Manipulation","publication_year":2024,"publication_date":"2024-09-12","ids":{"openalex":"https://openalex.org/W4402480963","doi":"https://doi.org/10.3390/e26090783","pmid":"https://pubmed.ncbi.nlm.nih.gov/39330116"},"language":"en","primary_location":{"id":"doi:10.3390/e26090783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26090783","pdf_url":"https://www.mdpi.com/1099-4300/26/9/783/pdf?version=1726151172","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/26/9/783/pdf?version=1726151172","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000879542","display_name":"Adaleta Gici\u0107","orcid":"https://orcid.org/0000-0001-9114-1826"},"institutions":[{"id":"https://openalex.org/I104817121","display_name":"University of Sarajevo","ror":"https://ror.org/02hhwgd43","country_code":"BA","type":"education","lineage":["https://openalex.org/I104817121"]}],"countries":["BA"],"is_corresponding":true,"raw_author_name":"Adaleta Gicic","raw_affiliation_strings":["Faculty of Electrical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina"],"raw_orcid":"https://orcid.org/0000-0001-9114-1826","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina","institution_ids":["https://openalex.org/I104817121"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012540722","display_name":"D\u017eenana \u0110onko","orcid":"https://orcid.org/0000-0002-8933-006X"},"institutions":[{"id":"https://openalex.org/I104817121","display_name":"University of Sarajevo","ror":"https://ror.org/02hhwgd43","country_code":"BA","type":"education","lineage":["https://openalex.org/I104817121"]}],"countries":["BA"],"is_corresponding":false,"raw_author_name":"D\u017eenana \u0110onko","raw_affiliation_strings":["Faculty of Electrical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina"],"raw_orcid":"https://orcid.org/0000-0002-8933-006X","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina","institution_ids":["https://openalex.org/I104817121"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076009908","display_name":"Abd\u00fclhamit Suba\u015f\u0131","orcid":"https://orcid.org/0000-0001-7630-4084"},"institutions":[{"id":"https://openalex.org/I125656591","display_name":"Effat University","ror":"https://ror.org/02cnwgt19","country_code":"SA","type":"education","lineage":["https://openalex.org/I125656591"]},{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI","SA"],"is_corresponding":false,"raw_author_name":"Abdulhamit Subasi","raw_affiliation_strings":["Department of Computer Science, College of Engineering, Effat University, Jeddah 21478, Saudi Arabia","Institute of Biomedicine, Faculty of Medicine, University of Turku, 20520 Turku, Finland"],"raw_orcid":"https://orcid.org/0000-0001-7630-4084","affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Engineering, Effat University, Jeddah 21478, Saudi Arabia","institution_ids":["https://openalex.org/I125656591"]},{"raw_affiliation_string":"Institute of Biomedicine, Faculty of Medicine, University of Turku, 20520 Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000879542"],"corresponding_institution_ids":["https://openalex.org/I104817121"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.8254,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91765861,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"26","issue":"9","first_page":"783","last_page":"783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9589999914169312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.9589999914169312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12303","display_name":"Tensor decomposition and applications","score":0.9546999931335449,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9395999908447266,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.811577320098877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6533563137054443},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6114626526832581},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5773236155509949},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5504758954048157},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4571071267127991},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.42313629388809204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4198795557022095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.811577320098877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6533563137054443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6114626526832581},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5773236155509949},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5504758954048157},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4571071267127991},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.42313629388809204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4198795557022095},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e26090783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26090783","pdf_url":"https://www.mdpi.com/1099-4300/26/9/783/pdf?version=1726151172","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:39330116","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39330116","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11431205","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11431205","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11431205/pdf/entropy-26-00783.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:7c49b161521d4d0585c5d767e0e09ab7","is_oa":false,"landing_page_url":"https://doaj.org/article/7c49b161521d4d0585c5d767e0e09ab7","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 26, Iss 9, p 783 (2024)","raw_type":"article"},{"id":"pmh:oai:www.utupub.fi:10024/184712","is_oa":false,"landing_page_url":"https://www.utupub.fi/handle/10024/184712","pdf_url":null,"source":{"id":"https://openalex.org/S4306402470","display_name":"UTUPub (University of Turku)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I155660961","host_organization_name":"University of Turku","host_organization_lineage":["https://openalex.org/I155660961"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.3390/e26090783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26090783","pdf_url":"https://www.mdpi.com/1099-4300/26/9/783/pdf?version=1726151172","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402480963.pdf","grobid_xml":"https://content.openalex.org/works/W4402480963.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2005708641","https://openalex.org/W2131816657","https://openalex.org/W2293023260","https://openalex.org/W2900843648","https://openalex.org/W2904485001","https://openalex.org/W3007066689","https://openalex.org/W3095606640","https://openalex.org/W3118913631","https://openalex.org/W3202428668","https://openalex.org/W4226120896","https://openalex.org/W4303627698","https://openalex.org/W4320481151","https://openalex.org/W4365504037","https://openalex.org/W4383897611","https://openalex.org/W6775604984"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W2744241569","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Although":[0],"deep":[1,86],"learning":[2,36,87,120],"(DL)":[3],"algorithms":[4,88,153],"have":[5],"been":[6],"proved":[7],"to":[8,45,71,75,168,189],"be":[9,187],"effective":[10],"in":[11,17,58,89,100,117],"diverse":[12],"research":[13],"domains,":[14],"their":[15,197],"application":[16,56],"developing":[18],"models":[19,37,185],"for":[20,156],"tabular":[21,28,51,93,143,157],"data":[22,29,94],"remains":[23],"limited.":[24],"Models":[25],"trained":[26],"on":[27,130],"demonstrate":[30],"higher":[31],"efficacy":[32],"using":[33,109],"traditional":[34],"machine":[35],"than":[38],"DL":[39,132],"models,":[40],"which":[41,59,134],"are":[42,61,106],"largely":[43],"attributed":[44],"the":[46,54,64,77,126],"size":[47,118],"and":[48,53,119,148,194],"structure":[49],"of":[50,67,79,162],"datasets":[52,114],"specific":[55],"contexts":[57],"they":[60],"utilized.":[62],"Thus,":[63],"primary":[65],"objective":[66],"this":[68,163],"paper":[69,123],"is":[70,165],"propose":[72],"a":[73],"method":[74],"use":[76],"supremacy":[78],"Stacked":[80],"Bidirectional":[81],"LSTM":[82],"(Long":[83],"Short-Term":[84],"Memory)":[85],"pattern":[90],"discovery":[91],"incorporating":[92],"with":[95,142,151,177,181],"customized":[96],"3D":[97],"tensor":[98],"modeling":[99],"feeding":[101],"neural":[102],"networks.":[103],"Our":[104],"findings":[105],"empirically":[107],"validated":[108],"six":[110],"diverse,":[111],"publicly":[112],"available":[113],"each":[115],"varying":[116],"objectives.":[121],"This":[122],"proves":[124],"that":[125],"proposed":[127],"model":[128,174],"based":[129],"time-sequence":[131],"algorithms,":[133],"were":[135],"generally":[136],"described":[137],"as":[138],"inadequate":[139],"when":[140],"dealing":[141],"data,":[144],"yields":[145],"satisfactory":[146],"results":[147,193],"competes":[149],"effectively":[150],"other":[152],"specifically":[154],"designed":[155],"data.":[158],"An":[159],"additional":[160],"benefit":[161],"approach":[164],"its":[166],"ability":[167],"preserve":[169],"simplicity":[170],"while":[171],"ensuring":[172],"fast":[173],"training":[175],"also":[176],"large":[178],"datasets.":[179],"Even":[180],"extremely":[182],"small":[183],"datasets,":[184],"can":[186],"applied":[188],"achieve":[190],"exceptional":[191],"predictive":[192],"fully":[195],"utilize":[196],"capacity.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}