{"id":"https://openalex.org/W4229450111","doi":"https://doi.org/10.3390/s22093592","title":"Dynamic Learning Framework for Smooth-Aided Machine-Learning-Based Backbone Traffic Forecasts","display_name":"Dynamic Learning Framework for Smooth-Aided Machine-Learning-Based Backbone Traffic Forecasts","publication_year":2022,"publication_date":"2022-05-09","ids":{"openalex":"https://openalex.org/W4229450111","doi":"https://doi.org/10.3390/s22093592","pmid":"https://pubmed.ncbi.nlm.nih.gov/35591282"},"language":"en","primary_location":{"id":"doi:10.3390/s22093592","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22093592","pdf_url":"https://www.mdpi.com/1424-8220/22/9/3592/pdf?version=1652175168","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","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/1424-8220/22/9/3592/pdf?version=1652175168","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066923177","display_name":"Mohamed Khalafalla Hassan","orcid":"https://orcid.org/0000-0002-6238-8915"},"institutions":[{"id":"https://openalex.org/I4210090078","display_name":"The Future University","ror":"https://ror.org/0092t1z08","country_code":"SD","type":"education","lineage":["https://openalex.org/I4210090078"]},{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY","SD"],"is_corresponding":true,"raw_author_name":"Mohamed Khalafalla Hassan","raw_affiliation_strings":["School of Electrical Engineering, University Technology Malaysia, Skudai, Johor 81310, Malaysia","School of Telecommunication Engineering, Future University, Khartoum 10553, Sudan"],"raw_orcid":"https://orcid.org/0000-0002-6238-8915","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University Technology Malaysia, Skudai, Johor 81310, Malaysia","institution_ids":["https://openalex.org/I4576418"]},{"raw_affiliation_string":"School of Telecommunication Engineering, Future University, Khartoum 10553, Sudan","institution_ids":["https://openalex.org/I4210090078"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017904594","display_name":"Sharifah H. S. Ariffin","orcid":"https://orcid.org/0000-0003-0380-690X"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sharifah Hafizah Syed Ariffin","raw_affiliation_strings":["School of Electrical Engineering, University Technology Malaysia, Skudai, Johor 81310, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University Technology Malaysia, Skudai, Johor 81310, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073583432","display_name":"Nurzal Effiyana Ghazali","orcid":"https://orcid.org/0000-0002-3313-0296"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"N. Effiyana Ghazali","raw_affiliation_strings":["School of Electrical Engineering, University Technology Malaysia, Skudai, Johor 81310, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-3313-0296","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University Technology Malaysia, Skudai, Johor 81310, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085299301","display_name":"Mutaz Hamad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090078","display_name":"The Future University","ror":"https://ror.org/0092t1z08","country_code":"SD","type":"education","lineage":["https://openalex.org/I4210090078"]}],"countries":["SD"],"is_corresponding":false,"raw_author_name":"Mutaz Hamad","raw_affiliation_strings":["School of Telecommunication Engineering, Future University, Khartoum 10553, Sudan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunication Engineering, Future University, Khartoum 10553, Sudan","institution_ids":["https://openalex.org/I4210090078"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010803372","display_name":"Mosab Hamdan","orcid":"https://orcid.org/0000-0002-1008-3028"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mosab Hamdan","raw_affiliation_strings":["Department of Computer Science, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-1008-3028","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031545931","display_name":"Monia Hamdi","orcid":"https://orcid.org/0000-0003-3690-9868"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Monia Hamdi","raw_affiliation_strings":["Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-3690-9868","affiliations":[{"raw_affiliation_string":"Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091127899","display_name":"Habib Hamam","orcid":"https://orcid.org/0000-0002-5320-1012"},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]},{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["CA","ZA"],"is_corresponding":false,"raw_author_name":"Habib Hamam","raw_affiliation_strings":["Department of Electrical and Electronic Eng. Science, School of Electrical Engineering, University of Johannesburg, Johannesburg 2006, South Africa","Faculty of Engineering, Uni de Moncton, Moncton, NB E1A3E9, Canada","International Institute of Technology and Management, Commune d\u2019Akanda, Libreville BP 1989, Gabon","International Institute of Technology and Management, Commune d'Akanda, Libreville BP 1989, Gabon"],"raw_orcid":"https://orcid.org/0000-0002-5320-1012","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Eng. Science, School of Electrical Engineering, University of Johannesburg, Johannesburg 2006, South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"Faculty of Engineering, Uni de Moncton, Moncton, NB E1A3E9, Canada","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"International Institute of Technology and Management, Commune d\u2019Akanda, Libreville BP 1989, Gabon","institution_ids":[]},{"raw_affiliation_string":"International Institute of Technology and Management, Commune d'Akanda, Libreville BP 1989, Gabon","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107964469","display_name":"Suleman Khan","orcid":"https://orcid.org/0000-0002-5725-6184"},"institutions":[{"id":"https://openalex.org/I185852735","display_name":"University of Lancashire","ror":"https://ror.org/010jbqd54","country_code":"GB","type":"education","lineage":["https://openalex.org/I185852735"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Suleman Khan","raw_affiliation_strings":["School of Psychology and Computer Science, University of Central Lancashire, Preston PR1 2HE, UK"],"raw_orcid":"https://orcid.org/0000-0002-5725-6184","affiliations":[{"raw_affiliation_string":"School of Psychology and Computer Science, University of Central Lancashire, Preston PR1 2HE, UK","institution_ids":["https://openalex.org/I185852735"]}]}],"institutions":[],"countries_distinct_count":7,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5066923177"],"corresponding_institution_ids":["https://openalex.org/I4210090078","https://openalex.org/I4576418"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.2954,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.76815206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"9","first_page":"3592","last_page":"3592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7723853588104248},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6384190320968628},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5551335215568542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5050039887428284},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.46684321761131287},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4627613425254822},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42695870995521545},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4230799674987793},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4157774746417999},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4106787443161011},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40784552693367004},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33535832166671753},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21947911381721497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7723853588104248},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6384190320968628},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5551335215568542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5050039887428284},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.46684321761131287},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4627613425254822},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42695870995521545},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4230799674987793},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4157774746417999},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4106787443161011},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40784552693367004},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33535832166671753},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21947911381721497},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057567","descriptor_name":"Memory, Long-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057567","descriptor_name":"Memory, Long-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22093592","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22093592","pdf_url":"https://www.mdpi.com/1424-8220/22/9/3592/pdf?version=1652175168","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:35591282","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35591282","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:clok.uclan.ac.uk:41947","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402361","display_name":"CLOK (University of Central Lancashire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I185852735","host_organization_name":"University of Lancashire","host_organization_lineage":["https://openalex.org/I185852735"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:b68b7701720e4ee8ab7915cf747120e8","is_oa":true,"landing_page_url":"https://doaj.org/article/b68b7701720e4ee8ab7915cf747120e8","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":"Sensors, Vol 22, Iss 9, p 3592 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/9/3592/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22093592","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 22; Issue 9; Pages: 3592","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9103727","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9103727","pdf_url":null,"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22093592","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22093592","pdf_url":"https://www.mdpi.com/1424-8220/22/9/3592/pdf?version=1652175168","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4229450111.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1971776847","https://openalex.org/W2012546067","https://openalex.org/W2024081693","https://openalex.org/W2069143585","https://openalex.org/W2140217141","https://openalex.org/W2148459868","https://openalex.org/W2413688291","https://openalex.org/W2462192046","https://openalex.org/W2472192521","https://openalex.org/W2566871274","https://openalex.org/W2594554731","https://openalex.org/W2600537139","https://openalex.org/W2770041360","https://openalex.org/W2774054169","https://openalex.org/W2788815399","https://openalex.org/W2804791042","https://openalex.org/W2809684781","https://openalex.org/W2896200917","https://openalex.org/W2903500163","https://openalex.org/W2910883594","https://openalex.org/W2969690143","https://openalex.org/W2983270658","https://openalex.org/W2997565628","https://openalex.org/W3003381204","https://openalex.org/W3005623292","https://openalex.org/W3011840454","https://openalex.org/W3036302532","https://openalex.org/W3038236662","https://openalex.org/W3044152619","https://openalex.org/W3047336578","https://openalex.org/W3047470382","https://openalex.org/W3072523976","https://openalex.org/W3112596683","https://openalex.org/W3115714663","https://openalex.org/W3118786739","https://openalex.org/W3154670033","https://openalex.org/W3160653848","https://openalex.org/W3184799199","https://openalex.org/W3190697395","https://openalex.org/W3212135906","https://openalex.org/W4206472250","https://openalex.org/W4206498679","https://openalex.org/W4220959452","https://openalex.org/W4236518304","https://openalex.org/W6643126161","https://openalex.org/W6653632839","https://openalex.org/W6720503341"],"related_works":["https://openalex.org/W2068015237","https://openalex.org/W4382138423","https://openalex.org/W3110660585","https://openalex.org/W4285210468","https://openalex.org/W2997404012","https://openalex.org/W4236520329","https://openalex.org/W2093101924","https://openalex.org/W2995576478","https://openalex.org/W4312690338","https://openalex.org/W2058117949"],"abstract_inverted_index":{"Recently,":[0],"there":[1],"has":[2],"been":[3],"an":[4],"increasing":[5],"need":[6],"for":[7,42,146,157,181],"new":[8],"applications":[9],"and":[10,24,37,65,112,139,144,152,155,173],"services":[11],"such":[12],"as":[13],"big":[14],"data,":[15],"blockchains,":[16],"vehicle-to-everything":[17],"(V2X),":[18],"the":[19,58,71,76,84,88,97,103,109,118,125,132,137,158,177,187],"Internet":[20],"of":[21,30],"things,":[22],"5G,":[23],"beyond.":[25],"Therefore,":[26],"to":[27,69,82,95,198],"maintain":[28],"quality":[29],"service":[31],"(QoS),":[32],"accurate":[33],"network":[34,64,72],"resource":[35,43],"planning":[36],"forecasting":[38,54,73,104],"are":[39],"essential":[40],"steps":[41],"allocation.":[44],"This":[45],"study":[46],"proposes":[47],"a":[48,101],"reliable":[49],"hybrid":[50,126],"dynamic":[51,188],"bandwidth":[52],"slice":[53],"framework":[55,78,111,190],"that":[56,124,194],"combines":[57],"long":[59],"short-term":[60],"memory":[61],"(LSTM)":[62],"neural":[63],"local":[66],"smoothing":[67,119,172],"methods":[68],"improve":[70],"model.":[74],"Moreover,":[75],"proposed":[77,98,110],"can":[79,195],"dynamically":[80],"react":[81],"all":[83],"changes":[85],"occurring":[86],"in":[87,136],"data":[89,115],"series.":[90],"Backbone":[91],"traffic":[92,183],"was":[93],"used":[94],"validate":[96],"method.":[99],"As":[100],"result,":[102],"accuracy":[105],"improved":[106],"significantly":[107],"with":[108,113,142,153,184],"minimal":[114],"loss":[116],"from":[117],"process.":[120],"The":[121],"results":[122],"showed":[123],"moving":[127],"average":[128],"LSTM":[129,174],"(MLSTM)":[130],"achieved":[131,176,191],"most":[133,178],"remarkable":[134],"improvement":[135,180,192],"training":[138],"testing":[140],"forecasts,":[141],"28%":[143],"24%":[145],"long-term":[147],"evolution":[148],"(LTE)":[149],"time":[150,163],"series":[151],"35%":[154],"32%":[156],"multiprotocol":[159],"label":[160],"switching":[161],"(MPLS)":[162],"series,":[164],"respectively,":[165],"while":[166],"robust":[167],"locally":[168],"weighted":[169],"scatter":[170],"plot":[171],"(RLWLSTM)":[175],"significant":[179],"upstream":[182],"45%;":[185],"moreover,":[186],"learning":[189],"percentages":[193],"reach":[196],"up":[197],"100%.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
