{"id":"https://openalex.org/W4317382702","doi":"https://doi.org/10.1109/rivf55975.2022.10013913","title":"Improving River Runoff Forecasting through Anomaly Detection and Repair","display_name":"Improving River Runoff Forecasting through Anomaly Detection and Repair","publication_year":2022,"publication_date":"2022-12-20","ids":{"openalex":"https://openalex.org/W4317382702","doi":"https://doi.org/10.1109/rivf55975.2022.10013913"},"language":"en","primary_location":{"id":"doi:10.1109/rivf55975.2022.10013913","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/rivf55975.2022.10013913","pdf_url":null,"source":{"id":"https://openalex.org/S4363608274","display_name":"2022 RIVF International Conference on Computing and Communication Technologies (RIVF)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-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/A5027582055","display_name":"Ph\u1ea1m Ng\u1ecdc H\u00f9ng","orcid":"https://orcid.org/0000-0002-5584-5823"},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]},{"id":"https://openalex.org/I228151691","display_name":"Ho Chi Minh City International University","ror":"https://ror.org/003szmg30","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I228151691"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Pham Ngoc Hung","raw_affiliation_strings":["FPT International Education Institute,Ho Chi Minh City,Vietnam","FPT International Education Institute, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"FPT International Education Institute,Ho Chi Minh City,Vietnam","institution_ids":["https://openalex.org/I109689652","https://openalex.org/I228151691"]},{"raw_affiliation_string":"FPT International Education Institute, Ho Chi Minh City, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059729965","display_name":"Duong Tuan Anh","orcid":"https://orcid.org/0000-0003-3340-7117"},"institutions":[{"id":"https://openalex.org/I3129215250","display_name":"Ho Chi Minh City University of Foreign Languages-Informatics Technology","ror":"https://ror.org/02th1pb96","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129215250"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duong Tuan Anh","raw_affiliation_strings":["Ho Chi Minh City of Foreign Languages and Information Technology,Department of IT,Ho Chi Minh City,Vietnam","Department of IT, Ho Chi Minh City of Foreign Languages and Information Technology, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Ho Chi Minh City of Foreign Languages and Information Technology,Department of IT,Ho Chi Minh City,Vietnam","institution_ids":["https://openalex.org/I3129215250"]},{"raw_affiliation_string":"Department of IT, Ho Chi Minh City of Foreign Languages and Information Technology, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I3129215250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027582055"],"corresponding_institution_ids":["https://openalex.org/I109689652","https://openalex.org/I228151691"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33657482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"52","issue":null,"first_page":"250","last_page":"255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9994000196456909,"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":0.9994000196456909,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7850214242935181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6838420629501343},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6582328081130981},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.617624819278717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6067867875099182},{"id":"https://openalex.org/keywords/surface-runoff","display_name":"Surface runoff","score":0.5937067866325378},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5796260237693787},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5746994614601135},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5479873418807983},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5268002152442932},{"id":"https://openalex.org/keywords/water-resources","display_name":"Water resources","score":0.42240017652511597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3776722550392151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3470083475112915},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12395551800727844}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7850214242935181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6838420629501343},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6582328081130981},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.617624819278717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6067867875099182},{"id":"https://openalex.org/C50477045","wikidata":"https://www.wikidata.org/wiki/Q1444790","display_name":"Surface runoff","level":2,"score":0.5937067866325378},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5796260237693787},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5746994614601135},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5479873418807983},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5268002152442932},{"id":"https://openalex.org/C153823671","wikidata":"https://www.wikidata.org/wiki/Q1049799","display_name":"Water resources","level":2,"score":0.42240017652511597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3776722550392151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3470083475112915},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12395551800727844},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rivf55975.2022.10013913","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/rivf55975.2022.10013913","pdf_url":null,"source":{"id":"https://openalex.org/S4363608274","display_name":"2022 RIVF International Conference on Computing and Communication Technologies (RIVF)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1576273331","https://openalex.org/W1938057060","https://openalex.org/W1986143844","https://openalex.org/W2013746897","https://openalex.org/W2020354042","https://openalex.org/W2060364371","https://openalex.org/W2095239580","https://openalex.org/W2099957789","https://openalex.org/W2105510466","https://openalex.org/W2113405802","https://openalex.org/W2121334118","https://openalex.org/W2121508650","https://openalex.org/W2132050943","https://openalex.org/W2135254853","https://openalex.org/W2138952324","https://openalex.org/W2149789300","https://openalex.org/W2804523998","https://openalex.org/W4214562291","https://openalex.org/W4220696170"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2806741695","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W2989490741","https://openalex.org/W3107369729","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258"],"abstract_inverted_index":{"Accurate":[0],"river":[1,85],"runoff":[2,23],"forecasting":[3,20,113],"plays":[4],"an":[5],"important":[6],"role":[7],"in":[8,64,97],"management":[9],"and":[10,62,116],"utilization":[11],"of":[12,17,38,84,108],"water":[13],"resources.":[14],"However,":[15],"most":[16],"time":[18,39,56],"series":[19,40,57],"methods":[21],"for":[22],"data":[24],"are":[25],"sensitive":[26],"to":[27,54,75,79],"anomalies":[28],"or":[29],"outliers.":[30],"Anomalies":[31],"incur":[32],"negative":[33],"effects":[34],"on":[35,90],"the":[36,81,101,106],"accuracy":[37,83,107],"prediction.":[41],"Recently,":[42],"there":[43],"have":[44],"been":[45],"some":[46],"research":[47],"works":[48],"which":[49],"proposed":[50,102],"a":[51,65],"novel":[52],"framework":[53],"improve":[55,80,105],"prediction":[58,110],"through":[59],"anomaly":[60],"detection":[61],"repair":[63],"preprocessing":[66],"step":[67],"before":[68],"forecasting.":[69,87],"In":[70],"this":[71,77],"work,":[72],"we":[73],"try":[74],"apply":[76],"approach":[78,103],"predictive":[82],"run-off":[86,92,109],"Experimental":[88],"results":[89],"four":[91],"datasets":[93],"from":[94],"three":[95],"rivers":[96],"Vietnam":[98],"reveal":[99],"that":[100],"can":[104],"with":[111],"two":[112],"methods:":[114],"k-nearest-neighbors":[115],"ANN.":[117]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}