{"id":"https://openalex.org/W4378983035","doi":"https://doi.org/10.1007/s12145-023-01023-6","title":"Short-term prediction of wave height based on a deep learning autoregressive integrated moving average model","display_name":"Short-term prediction of wave height based on a deep learning autoregressive integrated moving average model","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4378983035","doi":"https://doi.org/10.1007/s12145-023-01023-6"},"language":"en","primary_location":{"id":"doi:10.1007/s12145-023-01023-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12145-023-01023-6","pdf_url":null,"source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","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/A5030231711","display_name":"Wenchao Ban","orcid":"https://orcid.org/0000-0001-7503-3825"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenchao Ban","raw_affiliation_strings":["School of Ocean Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, China"],"affiliations":[{"raw_affiliation_string":"School of Ocean Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, China","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101190033","display_name":"Liangduo Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangduo Shen","raw_affiliation_strings":["School of Ocean Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, China"],"affiliations":[{"raw_affiliation_string":"School of Ocean Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, China","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102843903","display_name":"Jiachao Chen","orcid":"https://orcid.org/0009-0004-2250-0927"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachao Chen","raw_affiliation_strings":["School of Ocean Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, China"],"affiliations":[{"raw_affiliation_string":"School of Ocean Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, China","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100778641","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-4787-9556"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["School of Ocean Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, China"],"affiliations":[{"raw_affiliation_string":"School of Ocean Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, China","institution_ids":["https://openalex.org/I31847773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030231711"],"corresponding_institution_ids":["https://openalex.org/I31847773"],"apc_list":{"value":2690,"currency":"EUR","value_usd":3390},"apc_paid":null,"fwci":1.2465,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76096794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"2251","last_page":"2259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9958000183105469,"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":0.9958000183105469,"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.993399977684021,"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"}},{"id":"https://openalex.org/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.9554011821746826},{"id":"https://openalex.org/keywords/typhoon","display_name":"Typhoon","score":0.7509196996688843},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6396074295043945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6372817158699036},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6244813799858093},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6106035709381104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5623428821563721},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5490038394927979},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5452374815940857},{"id":"https://openalex.org/keywords/moving-average-model","display_name":"Moving-average model","score":0.5171194076538086},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5156387090682983},{"id":"https://openalex.org/keywords/significant-wave-height","display_name":"Significant wave height","score":0.4710424244403839},{"id":"https://openalex.org/keywords/box\u2013jenkins","display_name":"Box\u2013Jenkins","score":0.4619394540786743},{"id":"https://openalex.org/keywords/moving-average","display_name":"Moving average","score":0.4521876871585846},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.44753575325012207},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4464442729949951},{"id":"https://openalex.org/keywords/long-term-prediction","display_name":"Long-term prediction","score":0.42719531059265137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4264174699783325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42433464527130127},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3163158595561981},{"id":"https://openalex.org/keywords/wind-wave","display_name":"Wind wave","score":0.26894310116767883},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1555134654045105},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12684422731399536},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11498028039932251},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1132194995880127},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08365076780319214},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.08311212062835693}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.9554011821746826},{"id":"https://openalex.org/C181654704","wikidata":"https://www.wikidata.org/wiki/Q140588","display_name":"Typhoon","level":2,"score":0.7509196996688843},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6396074295043945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6372817158699036},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6244813799858093},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6106035709381104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5623428821563721},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5490038394927979},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5452374815940857},{"id":"https://openalex.org/C155380588","wikidata":"https://www.wikidata.org/wiki/Q1088984","display_name":"Moving-average model","level":4,"score":0.5171194076538086},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5156387090682983},{"id":"https://openalex.org/C85910571","wikidata":"https://www.wikidata.org/wiki/Q2674049","display_name":"Significant wave height","level":3,"score":0.4710424244403839},{"id":"https://openalex.org/C82257358","wikidata":"https://www.wikidata.org/wiki/Q895497","display_name":"Box\u2013Jenkins","level":4,"score":0.4619394540786743},{"id":"https://openalex.org/C175706884","wikidata":"https://www.wikidata.org/wiki/Q1130194","display_name":"Moving average","level":2,"score":0.4521876871585846},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.44753575325012207},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4464442729949951},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.42719531059265137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4264174699783325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42433464527130127},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3163158595561981},{"id":"https://openalex.org/C165082838","wikidata":"https://www.wikidata.org/wiki/Q165848","display_name":"Wind wave","level":2,"score":0.26894310116767883},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1555134654045105},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12684422731399536},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11498028039932251},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1132194995880127},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08365076780319214},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.08311212062835693},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12145-023-01023-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12145-023-01023-6","pdf_url":null,"source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1433129449","https://openalex.org/W1979273576","https://openalex.org/W2001601916","https://openalex.org/W2032184320","https://openalex.org/W2043352376","https://openalex.org/W2053840122","https://openalex.org/W2056603306","https://openalex.org/W2442226818","https://openalex.org/W2546433740","https://openalex.org/W2607470162","https://openalex.org/W2774144862","https://openalex.org/W2860852672","https://openalex.org/W2891810618","https://openalex.org/W2963098640","https://openalex.org/W2991499674","https://openalex.org/W3005448318","https://openalex.org/W3049598767","https://openalex.org/W3115044086","https://openalex.org/W3125169053","https://openalex.org/W3130937359","https://openalex.org/W3132442066","https://openalex.org/W3133999658","https://openalex.org/W3164032920","https://openalex.org/W4206943226","https://openalex.org/W4361291575"],"related_works":["https://openalex.org/W2036994430","https://openalex.org/W3097417252","https://openalex.org/W2413726729","https://openalex.org/W2148330814","https://openalex.org/W3115491726","https://openalex.org/W2493665330","https://openalex.org/W2625068484","https://openalex.org/W3190289737","https://openalex.org/W4238108524","https://openalex.org/W132473265"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}