{"id":"https://openalex.org/W2809383394","doi":"https://doi.org/10.1109/tgrs.2018.2841204","title":"An Ensemble Real-Time Tidal Level Prediction Mechanism Using Multiresolution Wavelet Decomposition Method","display_name":"An Ensemble Real-Time Tidal Level Prediction Mechanism Using Multiresolution Wavelet Decomposition Method","publication_year":2018,"publication_date":"2018-06-21","ids":{"openalex":"https://openalex.org/W2809383394","doi":"https://doi.org/10.1109/tgrs.2018.2841204","mag":"2809383394"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2841204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2841204","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016280967","display_name":"Jianchuan Yin","orcid":"https://orcid.org/0000-0002-3450-590X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian-Chuan Yin","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110358682","display_name":"Anastassios N. Perakis","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anastassios N. Perakis","raw_affiliation_strings":["Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058107332","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0003-1745-1425"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Wang","raw_affiliation_strings":["Center for Intelligent Marine Vehicles, School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Center for Intelligent Marine Vehicles, School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016280967"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":1.2054,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.76621434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"56","issue":"8","first_page":"4856","last_page":"4865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6005643010139465},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5656101703643799},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5335453152656555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5293955206871033},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.48434531688690186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40493112802505493},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.36114293336868286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3100090026855469},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07837387919425964}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6005643010139465},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5656101703643799},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5335453152656555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5293955206871033},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.48434531688690186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40493112802505493},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.36114293336868286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3100090026855469},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07837387919425964},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2841204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2841204","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G6681022191","display_name":null,"funder_award_id":"3132016314","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7934746337","display_name":null,"funder_award_id":"3132016322","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1669374237","https://openalex.org/W1968018278","https://openalex.org/W1984817570","https://openalex.org/W1987690212","https://openalex.org/W2001511809","https://openalex.org/W2004012112","https://openalex.org/W2006232035","https://openalex.org/W2006476624","https://openalex.org/W2021487745","https://openalex.org/W2043352376","https://openalex.org/W2045251015","https://openalex.org/W2055238536","https://openalex.org/W2061811978","https://openalex.org/W2062024414","https://openalex.org/W2070986256","https://openalex.org/W2112442192","https://openalex.org/W2114865067","https://openalex.org/W2115755118","https://openalex.org/W2124776405","https://openalex.org/W2155399784","https://openalex.org/W2156662181","https://openalex.org/W2158054309","https://openalex.org/W2347015812","https://openalex.org/W2532479341","https://openalex.org/W2544037858","https://openalex.org/W2561754033","https://openalex.org/W2603763990","https://openalex.org/W2921367733","https://openalex.org/W2995292094","https://openalex.org/W4255272544","https://openalex.org/W6771411545"],"related_works":["https://openalex.org/W183670115","https://openalex.org/W4245420407","https://openalex.org/W1501179639","https://openalex.org/W3199035354","https://openalex.org/W2085792030","https://openalex.org/W1807354010","https://openalex.org/W3143644526","https://openalex.org/W598225674","https://openalex.org/W1588899229","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Precise":[0],"real-time":[1,44,145],"tidal":[2,14,45,49,113,146,157,165,170],"prediction":[3,50,73,120,147],"is":[4,16,23,52,80,95,149],"essential":[5],"for":[6,82,97],"management":[7],"of":[8,30,86,103,112,121,141],"marine":[9],"activities.":[10],"Note":[11],"that":[12],"the":[13,71,84,99,118,142,155,161,173],"change":[15],"a":[17,75,90,126],"complex":[18],"time-varying":[19,38,101,122],"nonlinear":[20,100],"process,":[21],"which":[22,62],"not":[24],"only":[25],"generated":[26],"by":[27,36,54,65,124,151],"periodic":[28],"configurations":[29],"celestial":[31,87],"bodies":[32],"but":[33],"also":[34],"influenced":[35],"various":[37],"meteorological":[39,104],"factors.":[40,109],"To":[41],"achieve":[42],"precise":[43,119],"prediction,":[46],"an":[47],"ensemble":[48,72,144],"mechanism":[51,148],"established":[53],"combining":[55],"harmonic":[56,77],"analysis":[57,78],"and":[58,106,132,167],"variable":[59,92,127],"neural":[60,93,128],"networks":[61],"are":[63,134],"constructed":[64],"discrete":[66],"wavelet":[67],"transform":[68],"(DWT).":[69],"In":[70],"mechanism,":[74],"conventional":[76],"method":[79],"used":[81,96],"representing":[83,98],"effects":[85],"factors,":[88],"while":[89],"DWT-based":[91],"network":[94,129],"influences":[102],"factors":[105],"other":[107,168],"unmodeled":[108],"The":[110],"decomposition":[111],"residual":[114],"time":[115],"series":[116],"enables":[117],"dynamics":[123],"using":[125],"whose":[130],"dimensions":[131],"parameters":[133],"both":[135],"adaptively":[136],"tuned":[137],"online.":[138],"High":[139],"accuracy":[140],"proposed":[143],"demonstrated":[150],"simulation":[152],"studies":[153],"on":[154],"actual":[156],"measurements":[158],"collected":[159],"from":[160],"Old":[162],"Port":[163],"Tampa":[164],"station":[166],"four":[169],"stations":[171],"in":[172],"USA.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
