{"id":"https://openalex.org/W4405108965","doi":"https://doi.org/10.3390/e26121062","title":"Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks","display_name":"Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks","publication_year":2024,"publication_date":"2024-12-06","ids":{"openalex":"https://openalex.org/W4405108965","doi":"https://doi.org/10.3390/e26121062","pmid":"https://pubmed.ncbi.nlm.nih.gov/39766690"},"language":"en","primary_location":{"id":"doi:10.3390/e26121062","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26121062","pdf_url":"https://www.mdpi.com/1099-4300/26/12/1062/pdf?version=1733485143","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/1099-4300/26/12/1062/pdf?version=1733485143","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030048049","display_name":"Javier Linkolk L\u00f3pez\u2010Gonzales","orcid":"https://orcid.org/0000-0003-0847-0552"},"institutions":[{"id":"https://openalex.org/I4210140760","display_name":"Universidad Peruana Uni\u00f3n","ror":"https://ror.org/042gckq23","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210140760"]}],"countries":["PE"],"is_corresponding":true,"raw_author_name":"Javier Linkolk L\u00f3pez-Gonzales","raw_affiliation_strings":["Escuela de Posgrado, Universidad Peruana Uni\u00f3n, Lima 15468, Peru"],"raw_orcid":"https://orcid.org/0000-0003-0847-0552","affiliations":[{"raw_affiliation_string":"Escuela de Posgrado, Universidad Peruana Uni\u00f3n, Lima 15468, Peru","institution_ids":["https://openalex.org/I4210140760"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088560375","display_name":"Rodrigo Salas","orcid":"https://orcid.org/0000-0002-0350-6811"},"institutions":[{"id":"https://openalex.org/I79274474","display_name":"University of Valpara\u00edso","ror":"https://ror.org/00h9jrb69","country_code":"CL","type":"education","lineage":["https://openalex.org/I79274474"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Rodrigo Salas","raw_affiliation_strings":["Biomedical Engineering School, Faculty of Engineering, Universidad de Valpara\u00edso, Valpara\u00edso 2362905, Chile","Center of Interdisciplinary Biomedical and Engineering Research for Health\u2014MEDING, Universidad de Valpara\u00edso, Valpara\u00edso 2540064, Chile"],"raw_orcid":"https://orcid.org/0000-0002-0350-6811","affiliations":[{"raw_affiliation_string":"Biomedical Engineering School, Faculty of Engineering, Universidad de Valpara\u00edso, Valpara\u00edso 2362905, Chile","institution_ids":["https://openalex.org/I79274474"]},{"raw_affiliation_string":"Center of Interdisciplinary Biomedical and Engineering Research for Health\u2014MEDING, Universidad de Valpara\u00edso, Valpara\u00edso 2540064, Chile","institution_ids":["https://openalex.org/I79274474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067063596","display_name":"Daira Velandia","orcid":"https://orcid.org/0000-0002-1400-1261"},"institutions":[{"id":"https://openalex.org/I79274474","display_name":"University of Valpara\u00edso","ror":"https://ror.org/00h9jrb69","country_code":"CL","type":"education","lineage":["https://openalex.org/I79274474"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Daira Velandia","raw_affiliation_strings":["Center for Atmospheric Studies and Climate Change\u2014CEACC, Universidad de Valpara\u00edso, Valpara\u00edso 2360102, Chile","Statistical Institute, Faculty of Science, Universidad de Valpara\u00edso, Valpara\u00edso 2362905, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Atmospheric Studies and Climate Change\u2014CEACC, Universidad de Valpara\u00edso, Valpara\u00edso 2360102, Chile","institution_ids":["https://openalex.org/I79274474"]},{"raw_affiliation_string":"Statistical Institute, Faculty of Science, Universidad de Valpara\u00edso, Valpara\u00edso 2362905, Chile","institution_ids":["https://openalex.org/I79274474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024974930","display_name":"Paulo Canas Rodrigues","orcid":"https://orcid.org/0000-0002-1248-9910"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Canas Rodrigues","raw_affiliation_strings":["Department of Statistics, Federal University of Bahia, Salvador 40170-110, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-1248-9910","affiliations":[{"raw_affiliation_string":"Department of Statistics, Federal University of Bahia, Salvador 40170-110, Brazil","institution_ids":["https://openalex.org/I126158947"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030048049"],"corresponding_institution_ids":["https://openalex.org/I4210140760"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":5.4033,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96565041,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"26","issue":"12","first_page":"1062","last_page":"1062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied 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/T14369","display_name":"Diverse Interdisciplinary Research Innovations","score":0.9667999744415283,"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"}},{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.942799985408783,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/singular-spectrum-analysis","display_name":"Singular spectrum analysis","score":0.9412165880203247},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.8050296902656555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6283003091812134},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.626232385635376},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6092272400856018},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.570160984992981},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5565405488014221},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5185433030128479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46192142367362976},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.45529723167419434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33807438611984253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2891595959663391},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24548101425170898},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.24482256174087524},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14059221744537354}],"concepts":[{"id":"https://openalex.org/C136272165","wikidata":"https://www.wikidata.org/wiki/Q4048889","display_name":"Singular spectrum analysis","level":3,"score":0.9412165880203247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8050296902656555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6283003091812134},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.626232385635376},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6092272400856018},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.570160984992981},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5565405488014221},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5185433030128479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46192142367362976},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.45529723167419434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33807438611984253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2891595959663391},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24548101425170898},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.24482256174087524},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14059221744537354},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e26121062","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26121062","pdf_url":"https://www.mdpi.com/1099-4300/26/12/1062/pdf?version=1733485143","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:39766690","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39766690","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:11675597","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11675597","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11675597/pdf/entropy-26-01062.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:a9c3074b8be647a3861662943744c220","is_oa":true,"landing_page_url":"https://doaj.org/article/a9c3074b8be647a3861662943744c220","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":"Entropy, Vol 26, Iss 12, p 1062 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e26121062","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26121062","pdf_url":"https://www.mdpi.com/1099-4300/26/12/1062/pdf?version=1733485143","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405108965.pdf","grobid_xml":"https://content.openalex.org/works/W4405108965.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W18228458","https://openalex.org/W1495476169","https://openalex.org/W1514535095","https://openalex.org/W1534477342","https://openalex.org/W1869752048","https://openalex.org/W1975079639","https://openalex.org/W1999444602","https://openalex.org/W2039082808","https://openalex.org/W2039853520","https://openalex.org/W2064675550","https://openalex.org/W2102113734","https://openalex.org/W2107878631","https://openalex.org/W2122585011","https://openalex.org/W2132050943","https://openalex.org/W2136848157","https://openalex.org/W2137825550","https://openalex.org/W2143612262","https://openalex.org/W2146848957","https://openalex.org/W2292763727","https://openalex.org/W2434886108","https://openalex.org/W2550310750","https://openalex.org/W2625179406","https://openalex.org/W2738796499","https://openalex.org/W2760506659","https://openalex.org/W2761731804","https://openalex.org/W2766788876","https://openalex.org/W2797260454","https://openalex.org/W2805541293","https://openalex.org/W2809072323","https://openalex.org/W2809533013","https://openalex.org/W2885309195","https://openalex.org/W2888798257","https://openalex.org/W2894161364","https://openalex.org/W2898924913","https://openalex.org/W2914487400","https://openalex.org/W2923971959","https://openalex.org/W2925057617","https://openalex.org/W2939112716","https://openalex.org/W2939224083","https://openalex.org/W2947456282","https://openalex.org/W2951572255","https://openalex.org/W2955613755","https://openalex.org/W2962891490","https://openalex.org/W2965521597","https://openalex.org/W2970408272","https://openalex.org/W2974237113","https://openalex.org/W2979880198","https://openalex.org/W2981694440","https://openalex.org/W2997806454","https://openalex.org/W3012378044","https://openalex.org/W3012957873","https://openalex.org/W3045916252","https://openalex.org/W3081922605","https://openalex.org/W3119672720","https://openalex.org/W3122817556","https://openalex.org/W4232129301","https://openalex.org/W4249179470","https://openalex.org/W4297709905","https://openalex.org/W4317543179","https://openalex.org/W4386833194","https://openalex.org/W4386929249","https://openalex.org/W6600726168","https://openalex.org/W6639082767","https://openalex.org/W6679436768"],"related_works":["https://openalex.org/W2099549249","https://openalex.org/W2024695206","https://openalex.org/W2151223736","https://openalex.org/W2187338439","https://openalex.org/W932133601","https://openalex.org/W2100885243","https://openalex.org/W2038097457","https://openalex.org/W4241139206","https://openalex.org/W2362717763","https://openalex.org/W2119012848"],"abstract_inverted_index":{"Singular":[0],"spectrum":[1,76],"analysis":[2,77],"is":[3,65,68,88],"a":[4,16,35,62],"powerful":[5],"nonparametric":[6],"technique":[7],"used":[8],"to":[9,49,90,95,108],"decompose":[10],"the":[11,51,54,74,79,86,91,110],"original":[12,92],"time":[13,93],"series":[14,94],"into":[15],"set":[17],"of":[18,37,41,56,73],"components":[19],"that":[20],"can":[21],"be":[22],"interpreted":[23],"as":[24],"trend,":[25],"seasonal,":[26],"and":[27,78,98,105],"noise.":[28],"For":[29,59],"their":[30],"part,":[31],"neural":[32,81],"networks":[33],"are":[34,101],"family":[36],"information-processing":[38],"techniques":[39],"capable":[40],"approximating":[42],"highly":[43],"nonlinear":[44],"functions.":[45],"This":[46,113],"study":[47],"proposes":[48],"improve":[50],"precision":[52],"in":[53],"prediction":[55],"air":[57],"quality.":[58],"this":[60],"purpose,":[61],"hybrid":[63,114],"adaptation":[64],"considered.":[66],"It":[67],"based":[69],"on":[70],"an":[71],"integration":[72],"singular":[75],"recurrent":[80],"network":[82],"long":[83],"short-term":[84],"memory;":[85],"SSA":[87],"applied":[89],"split":[96],"signal":[97],"noise,":[99],"which":[100],"then":[102],"predicted":[103],"separately":[104],"added":[106],"together":[107],"obtain":[109],"final":[111],"forecasts.":[112],"method":[115],"provided":[116],"better":[117],"performance":[118],"when":[119],"compared":[120],"with":[121],"other":[122],"methods.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}