{"id":"https://openalex.org/W2785232536","doi":"https://doi.org/10.3390/s18010298","title":"Bridge Structure Deformation Prediction Based on GNSS Data Using Kalman-ARIMA-GARCH Model","display_name":"Bridge Structure Deformation Prediction Based on GNSS Data Using Kalman-ARIMA-GARCH Model","publication_year":2018,"publication_date":"2018-01-19","ids":{"openalex":"https://openalex.org/W2785232536","doi":"https://doi.org/10.3390/s18010298","mag":"2785232536","pmid":"https://pubmed.ncbi.nlm.nih.gov/29351254"},"language":"en","primary_location":{"id":"doi:10.3390/s18010298","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18010298","pdf_url":"https://www.mdpi.com/1424-8220/18/1/298/pdf?version=1516378393","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/1424-8220/18/1/298/pdf?version=1516378393","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069688233","display_name":"Jingzhou Xin","orcid":"https://orcid.org/0000-0001-7494-298X"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzhou Xin","raw_affiliation_strings":["School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianting Zhou","orcid":"https://orcid.org/0000-0002-1130-3600"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianting Zhou","raw_affiliation_strings":["School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China"],"raw_orcid":"https://orcid.org/0000-0002-1130-3600","affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029827598","display_name":"Simon X. Yang","orcid":"https://orcid.org/0000-0002-6888-7993"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Simon Yang","raw_affiliation_strings":["School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6888-7993","affiliations":[{"raw_affiliation_string":"School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456702","display_name":"Xiaoqing Li","orcid":"https://orcid.org/0000-0002-1118-7937"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Li","raw_affiliation_strings":["School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445364","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0003-3354-5659"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["School of Engineering, Cardiff University, Cardiff CF24 3AA, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Cardiff University, Cardiff CF24 3AA, UK","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029827598"],"corresponding_institution_ids":["https://openalex.org/I63371133","https://openalex.org/I79817857"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":7.893,"has_fulltext":true,"cited_by_count":84,"citation_normalized_percentile":{"value":0.97751936,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"18","issue":"1","first_page":"298","last_page":"298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.7779176235198975},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7774653434753418},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5911632776260376},{"id":"https://openalex.org/keywords/autoregressive-conditional-heteroskedasticity","display_name":"Autoregressive conditional heteroskedasticity","score":0.5702109932899475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48855552077293396},{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"Structural health monitoring","score":0.4775612950325012},{"id":"https://openalex.org/keywords/deformation-monitoring","display_name":"Deformation monitoring","score":0.4176121652126312},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.3917808532714844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38254955410957336},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.27775049209594727},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2766212821006775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2444671094417572},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.235179603099823},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.217107892036438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19907495379447937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18110966682434082},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10257107019424438},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.10054159164428711},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.09264823794364929},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.09175699949264526}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.7779176235198975},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7774653434753418},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5911632776260376},{"id":"https://openalex.org/C23922673","wikidata":"https://www.wikidata.org/wiki/Q180752","display_name":"Autoregressive conditional heteroskedasticity","level":3,"score":0.5702109932899475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48855552077293396},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.4775612950325012},{"id":"https://openalex.org/C136428324","wikidata":"https://www.wikidata.org/wiki/Q838414","display_name":"Deformation monitoring","level":3,"score":0.4176121652126312},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3917808532714844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38254955410957336},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.27775049209594727},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2766212821006775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2444671094417572},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.235179603099823},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.217107892036438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19907495379447937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18110966682434082},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10257107019424438},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.10054159164428711},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.09264823794364929},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.09175699949264526}],"mesh":[{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s18010298","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18010298","pdf_url":"https://www.mdpi.com/1424-8220/18/1/298/pdf?version=1516378393","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:29351254","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29351254","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:https://orca.cardiff.ac.uk:109636","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:1a407262c1774341b1da57bb4b887a8a","is_oa":true,"landing_page_url":"https://doaj.org/article/1a407262c1774341b1da57bb4b887a8a","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 18, Iss 1, p 298 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4717861","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5795401","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18010298","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18010298","pdf_url":"https://www.mdpi.com/1424-8220/18/1/298/pdf?version=1516378393","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":[],"awards":[{"id":"https://openalex.org/G2951314682","display_name":null,"funder_award_id":"2016YFC0802202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4711718755","display_name":null,"funder_award_id":"2016YFC0802202","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4854655011","display_name":null,"funder_award_id":"51425801","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G5381104773","display_name":null,"funder_award_id":"51425801","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8126406330","display_name":null,"funder_award_id":"2017YFC0806007","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8552015648","display_name":null,"funder_award_id":"51708067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2785232536.pdf","grobid_xml":"https://content.openalex.org/works/W2785232536.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W594114979","https://openalex.org/W1503596152","https://openalex.org/W1978475619","https://openalex.org/W1979331645","https://openalex.org/W1979575715","https://openalex.org/W1991410369","https://openalex.org/W1992570173","https://openalex.org/W1999996900","https://openalex.org/W2004646160","https://openalex.org/W2016746101","https://openalex.org/W2022740130","https://openalex.org/W2037072271","https://openalex.org/W2047885176","https://openalex.org/W2074195549","https://openalex.org/W2084967913","https://openalex.org/W2094050728","https://openalex.org/W2107227780","https://openalex.org/W2118887738","https://openalex.org/W2121971770","https://openalex.org/W2126275662","https://openalex.org/W2201008065","https://openalex.org/W2352107490","https://openalex.org/W2369100712","https://openalex.org/W2382148055","https://openalex.org/W2470292068","https://openalex.org/W2514195450","https://openalex.org/W2526771681","https://openalex.org/W2528618859","https://openalex.org/W2552439185","https://openalex.org/W2584696667","https://openalex.org/W2596658025","https://openalex.org/W2605109830","https://openalex.org/W2611273431","https://openalex.org/W2620243922","https://openalex.org/W2639416113","https://openalex.org/W4307492541","https://openalex.org/W7062834437"],"related_works":["https://openalex.org/W3135881084","https://openalex.org/W2380590035","https://openalex.org/W2351712633","https://openalex.org/W4224133501","https://openalex.org/W4388984322","https://openalex.org/W4285509495","https://openalex.org/W1509694164","https://openalex.org/W3216381689","https://openalex.org/W3041008604","https://openalex.org/W4280502719"],"abstract_inverted_index":{"Bridges":[0],"are":[1],"an":[2],"essential":[3],"part":[4],"of":[5,21,26,51,66,144,172,183,206,237,271],"the":[6,16,38,48,63,84,100,108,113,117,128,132,142,145,155,167,174,180,184,191,204,207,215,218,233,241,268],"ground":[7],"transportation":[8],"system.":[9],"Health":[10],"monitoring":[11,162,177,274],"is":[12,29,104,122,137,170,188,244],"fundamentally":[13],"important":[14],"for":[15,77,254,267],"safety":[17],"and":[18,37,59,93,126,210],"service":[19],"life":[20],"bridges.":[22],"A":[23],"large":[24],"amount":[25],"structural":[27,255],"information":[28],"obtained":[30],"from":[31,154,197],"various":[32],"sensors":[33],"using":[34,107,240,280],"sensing":[35,281],"technology,":[36],"data":[39,57,103,153,260,279],"processing":[40],"has":[41],"become":[42],"a":[43,74,251,265],"challenging":[44],"issue.":[45],"To":[46],"improve":[47,141],"prediction":[49,181,208,224,239,257],"accuracy":[50,143,182,225],"bridge":[52,67,78,175,272],"structure":[53,68,79,129],"deformation":[54,80,102,161,176],"based":[55,149,258,276],"on":[56,150,259,277],"mining":[58],"to":[60,111,124,139,200,214],"accurately":[61],"evaluate":[62],"time-varying":[64],"characteristics":[65,231],"performance":[69],"evolution,":[70],"this":[71],"paper":[72,249],"proposes":[73],"new":[75,252],"method":[76],"prediction,":[81],"which":[82,262],"integrates":[83],"Kalman":[85,109,168],"filter,":[86],"autoregressive":[87,95],"integrated":[88],"moving":[89],"average":[90],"model":[91,121,136,187,220,243],"(ARIMA),":[92],"generalized":[94],"conditional":[96],"heteroskedasticity":[97],"(GARCH).":[98],"Firstly,":[99],"raw":[101],"directly":[105],"pre-processed":[106],"filter":[110,169],"reduce":[112],"noise.":[114],"After":[115],"that,":[116],"linear":[118],"recursive":[119,134],"ARIMA":[120],"established":[123],"analyze":[125],"predict":[127],"deformation.":[130],"Finally,":[131],"nonlinear":[133,230],"GARCH":[135],"introduced":[138],"further":[140],"prediction.":[146],"Simulation":[147],"results":[148,221],"measured":[151],"sensor":[152,278],"Global":[156],"Navigation":[157],"Satellite":[158],"System":[159],"(GNSS)":[160],"system":[163,275],"demonstrated":[164],"that:":[165],"(1)":[166],"capable":[171],"denoising":[173],"data;":[178],"(2)":[179],"proposed":[185,242],"Kalman-ARIMA-GARCH":[186,219],"satisfactory,":[189],"where":[190],"mean":[192,234],"absolute":[193,235],"error":[194,236],"increases":[195],"only":[196],"3.402":[198],"mm":[199,202],"5.847":[201],"with":[203],"increment":[205],"step;":[209],"(3)":[211],"in":[212,222],"comparision":[213],"Kalman-ARIMA":[216],"model,":[217],"superior":[223],"as":[226],"it":[227],"includes":[228],"partial":[229],"(heteroscedasticity);":[232],"five-step":[238],"improved":[245],"by":[246],"10.12%.":[247],"This":[248],"provides":[250],"way":[253],"behavior":[256],"processing,":[261],"can":[263],"lay":[264],"foundation":[266],"early":[269],"warning":[270],"health":[273],"technology.":[282]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}