{"id":"https://openalex.org/W3179759233","doi":"https://doi.org/10.1109/access.2021.3095339","title":"Advanced Machine Learning Techniques for Predicting Nha Trang Shorelines","display_name":"Advanced Machine Learning Techniques for Predicting Nha Trang Shorelines","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3179759233","doi":"https://doi.org/10.1109/access.2021.3095339","mag":"3179759233"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3095339","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3095339","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09476017.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09476017.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040974749","display_name":"Cheng Yin","orcid":"https://orcid.org/0000-0002-9662-3987"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]},{"id":"https://openalex.org/I4210158308","display_name":"Queen Medical","ror":"https://ror.org/058k59m52","country_code":"QA","type":"healthcare","lineage":["https://openalex.org/I4210158308"]}],"countries":["GB","QA"],"is_corresponding":true,"raw_author_name":"Cheng Yin","raw_affiliation_strings":["Queen&#x2019;s University Belfast, Belfast, U.K","Queen&#x2019","s University Belfast, Belfast, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9662-3987","affiliations":[{"raw_affiliation_string":"Queen&#x2019;s University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Queen&#x2019","institution_ids":["https://openalex.org/I4210158308"]},{"raw_affiliation_string":"s University Belfast, Belfast, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026027427","display_name":"Le Thanh Binh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le Thanh Binh","raw_affiliation_strings":["Vietnam Hydraulic Engineering Consultants Corporation&#x2014;JSC (HEC), Hanoi, Vietnam","Vietnam Hydraulic Engineering Consultants Corporation&#x2014","JSC (HEC), Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vietnam Hydraulic Engineering Consultants Corporation&#x2014;JSC (HEC), Hanoi, Vietnam","institution_ids":[]},{"raw_affiliation_string":"Vietnam Hydraulic Engineering Consultants Corporation&#x2014","institution_ids":[]},{"raw_affiliation_string":"JSC (HEC), Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020412391","display_name":"Duong Tran Anh","orcid":null},"institutions":[{"id":"https://openalex.org/I4387155935","display_name":"HUTECH University","ror":"https://ror.org/05xpj2n48","country_code":null,"type":"education","lineage":["https://openalex.org/I4387155935"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duong Tran Anh","raw_affiliation_strings":["Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-6775-0055","affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099","https://openalex.org/I4387155935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029957844","display_name":"Son T.","orcid":"https://orcid.org/0000-0003-4599-1525"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]},{"id":"https://openalex.org/I4210158308","display_name":"Queen Medical","ror":"https://ror.org/058k59m52","country_code":"QA","type":"healthcare","lineage":["https://openalex.org/I4210158308"]}],"countries":["GB","QA"],"is_corresponding":false,"raw_author_name":"Son T. Mai","raw_affiliation_strings":["Queen&#x2019;s University Belfast, Belfast, U.K","s University Belfast, Belfast, U.K","Queen&#x2019"],"raw_orcid":"https://orcid.org/0000-0003-4599-1525","affiliations":[{"raw_affiliation_string":"Queen&#x2019;s University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"s University Belfast, Belfast, U.K","institution_ids":[]},{"raw_affiliation_string":"Queen&#x2019","institution_ids":["https://openalex.org/I4210158308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101797077","display_name":"Anh Le","orcid":"https://orcid.org/0000-0002-0204-6147"},"institutions":[{"id":"https://openalex.org/I120089902","display_name":"Ho Chi Minh City University of Transport","ror":"https://ror.org/011c0vt04","country_code":"VN","type":"education","lineage":["https://openalex.org/I120089902"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Anh Le","raw_affiliation_strings":["University of Transport, Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Transport, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I120089902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020147099","display_name":"Van-Hau Nguyen","orcid":"https://orcid.org/0000-0002-3256-5626"},"institutions":[{"id":"https://openalex.org/I1285420085","display_name":"Hung Yen University of Technology and Education","ror":"https://ror.org/052yjgk16","country_code":"VN","type":"education","lineage":["https://openalex.org/I1285420085"]},{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van-Hau Nguyen","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam","Hung Yen University of Technology and Education, Ha&#x2019;i Du&#x2019;o&#x2019;ng, Vietnam","ng, Vietnam","Hung Yen University of Technology and Education, Ha&#x2019","o&#x2019","i Du&#x2019"],"raw_orcid":"https://orcid.org/0000-0002-3256-5626","affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Hung Yen University of Technology and Education, Ha&#x2019;i Du&#x2019;o&#x2019;ng, Vietnam","institution_ids":["https://openalex.org/I1285420085"]},{"raw_affiliation_string":"ng, Vietnam","institution_ids":[]},{"raw_affiliation_string":"Hung Yen University of Technology and Education, Ha&#x2019","institution_ids":["https://openalex.org/I1285420085"]},{"raw_affiliation_string":"o&#x2019","institution_ids":[]},{"raw_affiliation_string":"i Du&#x2019","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102001345","display_name":"Nguyen Van Chien","orcid":"https://orcid.org/0000-0003-0005-1855"},"institutions":[{"id":"https://openalex.org/I1285420085","display_name":"Hung Yen University of Technology and Education","ror":"https://ror.org/052yjgk16","country_code":"VN","type":"education","lineage":["https://openalex.org/I1285420085"]},{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van-Chien Nguyen","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam","Hung Yen University of Technology and Education, Ha&#x2019;i Du&#x2019;o&#x2019;ng, Vietnam"],"raw_orcid":"https://orcid.org/0000-0003-0005-1855","affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Hung Yen University of Technology and Education, Ha&#x2019;i Du&#x2019;o&#x2019;ng, Vietnam","institution_ids":["https://openalex.org/I1285420085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080821374","display_name":"Nguyen Xuan Tinh","orcid":"https://orcid.org/0000-0001-9712-0583"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nguyen Xuan Tinh","raw_affiliation_strings":["Tohoku University, Sendai, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9712-0583","affiliations":[{"raw_affiliation_string":"Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058817454","display_name":"Hitoshi Tanaka","orcid":"https://orcid.org/0000-0003-1623-2650"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi Tanaka","raw_affiliation_strings":["Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087658530","display_name":"Nguyen Trung Viet","orcid":"https://orcid.org/0000-0001-5913-2858"},"institutions":[{"id":"https://openalex.org/I182526193","display_name":"Thuyloi University","ror":"https://ror.org/04afshy24","country_code":"VN","type":"education","lineage":["https://openalex.org/I182526193"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Trung Viet","raw_affiliation_strings":["Thuyloi University, Hanoi, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-5913-2858","affiliations":[{"raw_affiliation_string":"Thuyloi University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I182526193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055510228","display_name":"Long D. Nguyen","orcid":"https://orcid.org/0000-0002-1044-257X"},"institutions":[{"id":"https://openalex.org/I170238339","display_name":"Duy Tan University","ror":"https://ror.org/05ezss144","country_code":"VN","type":"education","lineage":["https://openalex.org/I170238339"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Long D. Nguyen","raw_affiliation_strings":["Duy Tan University, Da Nang, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-1044-257X","affiliations":[{"raw_affiliation_string":"Duy Tan University, Da Nang, Vietnam","institution_ids":["https://openalex.org/I170238339"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049089848","display_name":"Trung Q. Duong","orcid":"https://orcid.org/0000-0002-4703-4836"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]},{"id":"https://openalex.org/I4210158308","display_name":"Queen Medical","ror":"https://ror.org/058k59m52","country_code":"QA","type":"healthcare","lineage":["https://openalex.org/I4210158308"]}],"countries":["GB","QA"],"is_corresponding":false,"raw_author_name":"Trung Q. Duong","raw_affiliation_strings":["Queen&#x2019;s University Belfast, Belfast, U.K","s University Belfast, Belfast, U.K","Queen&#x2019"],"raw_orcid":"https://orcid.org/0000-0002-4703-4836","affiliations":[{"raw_affiliation_string":"Queen&#x2019;s University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"s University Belfast, Belfast, U.K","institution_ids":[]},{"raw_affiliation_string":"Queen&#x2019","institution_ids":["https://openalex.org/I4210158308"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5040974749"],"corresponding_institution_ids":["https://openalex.org/I126231945","https://openalex.org/I4210158308"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.8601,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.89723951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"98132","last_page":"98149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.996999979019165,"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9962999820709229,"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/shore","display_name":"Shore","score":0.852765679359436},{"id":"https://openalex.org/keywords/empirical-orthogonal-functions","display_name":"Empirical orthogonal functions","score":0.8293052911758423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.694855809211731},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5547901391983032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5240940451622009},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48355647921562195},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.4646119177341461},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42569616436958313},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4168991148471832},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4141845703125},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3385929465293884},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17627853155136108},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.174719899892807},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.1717745065689087},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15568849444389343},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13181918859481812}],"concepts":[{"id":"https://openalex.org/C152382732","wikidata":"https://www.wikidata.org/wiki/Q468756","display_name":"Shore","level":2,"score":0.852765679359436},{"id":"https://openalex.org/C13724139","wikidata":"https://www.wikidata.org/wiki/Q3042818","display_name":"Empirical orthogonal functions","level":2,"score":0.8293052911758423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.694855809211731},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5547901391983032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5240940451622009},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48355647921562195},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.4646119177341461},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42569616436958313},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4168991148471832},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4141845703125},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3385929465293884},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17627853155136108},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.174719899892807},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.1717745065689087},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15568849444389343},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13181918859481812},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2021.3095339","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3095339","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09476017.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/15423a9c-3150-4750-9a4a-29c9ede21549","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/15423a9c-3150-4750-9a4a-29c9ede21549","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Yin, C, Binh, L T, Anh, D T, Mai, S T, Le, A, Nguyen, V-H, Nguyen, V-C, Tinh, N X, Tanaka, H, Viet, N T, Nguyen, L D & Duong, T Q 2021, 'Advanced Machine Learning Techniques for Predicting Nha Trang Shorelines', IEEE Access, pp. 1-18. https://doi.org/10.1109/ACCESS.2021.3095339","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.qub.ac.uk/portal:openaire/bee37337-2e36-4d6a-98da-246b6e3157f6","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/bee37337-2e36-4d6a-98da-246b6e3157f6","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Yin, C, Binh, L T, Duong, T A, Mai, S T, Le, A, Nguyen, V-H, Nguyen, V-C, Xuan Tinh, N, Tanaka, H, Trung Viet, N, Nguyen, L D & Duong, T Q 2021, 'Advanced Machine Learning Techniques for Predicting Nha Trang Shorelines', IEEE Access. https://doi.org/10.1109/ACCESS.2021.3095339","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:627dd55b2e6846eab2f6c2316a2fefee","is_oa":true,"landing_page_url":"https://doaj.org/article/627dd55b2e6846eab2f6c2316a2fefee","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":"IEEE Access, Vol 9, Pp 98132-98149 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3095339","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3095339","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09476017.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G5716443472","display_name":null,"funder_award_id":"527612186","funder_id":"https://openalex.org/F4320312420","funder_display_name":"Newton Fund"}],"funders":[{"id":"https://openalex.org/F4320312420","display_name":"Newton Fund","ror":"https://ror.org/009twqt47"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3179759233.pdf","grobid_xml":"https://content.openalex.org/works/W3179759233.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W10294716","https://openalex.org/W1486034269","https://openalex.org/W1533198000","https://openalex.org/W1610612296","https://openalex.org/W1893196365","https://openalex.org/W1978147562","https://openalex.org/W1985479415","https://openalex.org/W1986849635","https://openalex.org/W2013261871","https://openalex.org/W2013356219","https://openalex.org/W2026521426","https://openalex.org/W2064675550","https://openalex.org/W2100509887","https://openalex.org/W2106405073","https://openalex.org/W2106913415","https://openalex.org/W2110621574","https://openalex.org/W2113640817","https://openalex.org/W2136939460","https://openalex.org/W2339450308","https://openalex.org/W2784494131","https://openalex.org/W2789318709","https://openalex.org/W2794778778","https://openalex.org/W2796402962","https://openalex.org/W2895135437","https://openalex.org/W2902499798","https://openalex.org/W2903633086","https://openalex.org/W2903967623","https://openalex.org/W2909567700","https://openalex.org/W2911052303","https://openalex.org/W2942960703","https://openalex.org/W2947955487","https://openalex.org/W2955981307","https://openalex.org/W2958786037","https://openalex.org/W3012985054","https://openalex.org/W3015420071","https://openalex.org/W3031999969","https://openalex.org/W3033041468","https://openalex.org/W3035761029","https://openalex.org/W3082385370","https://openalex.org/W3087675342","https://openalex.org/W3116263294","https://openalex.org/W3128572966","https://openalex.org/W3140032983","https://openalex.org/W4210616753","https://openalex.org/W4292158022","https://openalex.org/W6600415874","https://openalex.org/W6631691190","https://openalex.org/W6639572621","https://openalex.org/W6680230698","https://openalex.org/W6704214424","https://openalex.org/W6763778294","https://openalex.org/W6783307090"],"related_works":["https://openalex.org/W4282946448","https://openalex.org/W2020736459","https://openalex.org/W2088042962","https://openalex.org/W2037760039","https://openalex.org/W2084871150","https://openalex.org/W2547515592","https://openalex.org/W2281366115","https://openalex.org/W2144853430","https://openalex.org/W2059480819","https://openalex.org/W3168412960"],"abstract_inverted_index":{"Nha":[0],"Trang":[1],"Coast":[2],"is":[3,22,128],"located":[4],"in":[5,17,111,130,145],"the":[6,11,27,72,81,86,100,107,120],"South":[7],"Central":[8],"Vietnam":[9],"and":[10,34,55,65,103,125,133],"coastal":[12,32],"erosion":[13],"has":[14],"occurred":[15],"rapidly":[16],"recent":[18],"years.":[19],"Hence":[20],"it":[21],"crucial":[23],"to":[24,70,80],"accurately":[25],"monitor":[26],"shoreline":[28,73,93,147],"changes":[29,94,148],"for":[30,38,91],"better":[31],"management":[33],"reduction":[35],"of":[36,113,119],"risks":[37],"communities.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,97],"explored":[44],"a":[45],"statistical":[46],"forecasting":[47,117],"model,":[48,122],"Seasonal":[49],"Auto-regressive":[50],"Integrated":[51],"Moving":[52],"Average":[53],"(SARIMA),":[54],"two":[56],"Machine":[57],"Learning":[58],"(ML)":[59],"models,":[60],"Neural":[61],"Network":[62],"Auto-Regression":[63],"(NNAR)":[64],"Long":[66],"Short-Term":[67],"Memory":[68],"(LSTM),":[69],"predict":[71],"variations":[74],"from":[75,95,149],"surveillance":[76],"camera":[77],"images.":[78],"Compared":[79],"Empirical":[82],"Orthogonal":[83],"Function":[84],"(EOF),":[85],"most":[87],"common":[88],"method":[89],"used":[90],"predicting":[92],"cameras,":[96],"demonstrate":[98],"that":[99,139],"SARIMA,":[101],"NNAR":[102,123],"LSTM":[104,126],"models":[105,141],"outperform":[106],"EOF":[108],"model":[109,124,127],"significantly":[110],"terms":[112],"prediction":[114],"accuracy.":[115],"The":[116,136],"performance":[118],"SARIMA":[121],"comparable":[129],"both":[131],"long":[132],"short-term":[134],"predictions.":[135],"results":[137],"suggest":[138],"these":[140],"are":[142],"highly":[143],"effective":[144],"detecting":[146],"video":[150],"cameras":[151],"under":[152],"extreme":[153],"weather":[154],"conditions.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
