{"id":"https://openalex.org/W1525891834","doi":"https://doi.org/10.1109/snpd.2015.7176177","title":"Application of improved core vector machine in the prediction of algal blooms in Tolo Harbour","display_name":"Application of improved core vector machine in the prediction of algal blooms in Tolo Harbour","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1525891834","doi":"https://doi.org/10.1109/snpd.2015.7176177","mag":"1525891834"},"language":"en","primary_location":{"id":"doi:10.1109/snpd.2015.7176177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2015.7176177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","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/A5100754504","display_name":"Xiu Li","orcid":"https://orcid.org/0000-0003-0403-1923"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiu Li","raw_affiliation_strings":["Shenzhen Key Laboratory of Information Science and Technology, Tsinghua University, Shenzhen, China","[Shenzhen Key Laboratory of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China]"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Information Science and Technology, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Shenzhen Key Laboratory of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068444754","display_name":"Jin Yu","orcid":"https://orcid.org/0000-0002-1874-8995"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Yu","raw_affiliation_strings":["Shenzhen Key Laboratory of Information Science and Technology, Tsinghua University, Shenzhen, China","[Shenzhen Key Laboratory of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China]"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Information Science and Technology, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Shenzhen Key Laboratory of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101871701","display_name":"Zhuo Jia","orcid":"https://orcid.org/0009-0000-9707-8688"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Jia","raw_affiliation_strings":["Shenzhen Key Laboratory of Information Science and Technology, Tsinghua University, Shenzhen, China","[Shenzhen Key Laboratory of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China]"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Information Science and Technology, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Shenzhen Key Laboratory of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411021","display_name":"Huimin Wang","orcid":"https://orcid.org/0000-0002-7096-2155"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Wang","raw_affiliation_strings":["Shenzhen Key Laboratory of Information Science and Technology, Tsinghua University, Shenzhen, China","[Shenzhen Key Laboratory of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China]"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Information Science and Technology, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Shenzhen Key Laboratory of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100754504"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01978649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9878000020980835,"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"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9878000020980835,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"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/harbour","display_name":"Harbour","score":0.9112170934677124},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.6376248598098755},{"id":"https://openalex.org/keywords/algal-bloom","display_name":"Algal bloom","score":0.5826956033706665},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5584076642990112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48873281478881836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24730920791625977},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.18848657608032227},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18846189975738525},{"id":"https://openalex.org/keywords/phytoplankton","display_name":"Phytoplankton","score":0.15612950921058655},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11054962873458862},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.048973530530929565}],"concepts":[{"id":"https://openalex.org/C2777318892","wikidata":"https://www.wikidata.org/wiki/Q2544816","display_name":"Harbour","level":2,"score":0.9112170934677124},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.6376248598098755},{"id":"https://openalex.org/C120305227","wikidata":"https://www.wikidata.org/wiki/Q326139","display_name":"Algal bloom","level":4,"score":0.5826956033706665},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5584076642990112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48873281478881836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24730920791625977},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.18848657608032227},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18846189975738525},{"id":"https://openalex.org/C2780892065","wikidata":"https://www.wikidata.org/wiki/Q184755","display_name":"Phytoplankton","level":3,"score":0.15612950921058655},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11054962873458862},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.048973530530929565},{"id":"https://openalex.org/C142796444","wikidata":"https://www.wikidata.org/wiki/Q181394","display_name":"Nutrient","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd.2015.7176177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2015.7176177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.75,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1774460361","https://openalex.org/W1965295747","https://openalex.org/W1969316479","https://openalex.org/W2012818514","https://openalex.org/W2017732621","https://openalex.org/W2022400045","https://openalex.org/W2048869561","https://openalex.org/W2058508414","https://openalex.org/W2081335822","https://openalex.org/W2085422144","https://openalex.org/W2092768662","https://openalex.org/W2105867876","https://openalex.org/W2114866007","https://openalex.org/W2118341527","https://openalex.org/W2142845953","https://openalex.org/W2153635508","https://openalex.org/W2155319834","https://openalex.org/W2161920802","https://openalex.org/W2172064003","https://openalex.org/W2784692117","https://openalex.org/W6637896986","https://openalex.org/W6662816042","https://openalex.org/W6683152347"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2350063285","https://openalex.org/W2382773280","https://openalex.org/W2614448841","https://openalex.org/W2286448621","https://openalex.org/W3089213061","https://openalex.org/W2029370673","https://openalex.org/W636259756","https://openalex.org/W4250356348","https://openalex.org/W3085612148"],"abstract_inverted_index":{"Support":[0],"vector":[1],"machine":[2],"(SVM)":[3],"and":[4,48,62,87,102],"its":[5,18],"derivative":[6],"algorithms":[7,89],"have":[8],"been":[9],"increasingly":[10],"used":[11],"to":[12,104,139],"predict":[13],"algal":[14,122],"blooms":[15],"recently.":[16],"However,":[17],"computation":[19],"complexity":[20],"remains":[21],"an":[22],"annoying":[23],"problem.":[24],"To":[25],"improve":[26],"the":[27,57,63,70,83,111,118,134],"time":[28,100,135],"cost":[29,136],"of":[30,59,82,85,113,121],"SVM,":[31],"a":[32,145],"hybrid":[33],"approach":[34],"is":[35],"proposed":[36],"in":[37,66],"this":[38],"paper":[39],"based":[40],"on":[41,69],"Partial":[42],"Least":[43],"Square":[44],"(PLS)":[45],"feature":[46],"extraction":[47],"Core":[49],"Vector":[50],"Machine":[51],"Regression":[52],"(CVR)":[53],"algorithm.":[54],"We":[55,92],"describe":[56],"principle":[58],"our":[60,130],"algorithm":[61,131,142],"implementation":[64],"steps":[65],"detail.":[67],"Based":[68],"biweekly":[71,114],"data":[72,115],"gathered":[73],"from":[74],"Tolo":[75],"Harbour,":[76],"Hong":[77],"Kong,":[78],"some":[79],"comparative":[80],"analysis":[81],"performance":[84],"PLS-CVR":[86],"other":[88],"are":[90],"presented.":[91],"develop":[93],"these":[94],"prediction":[95],"models":[96],"with":[97],"different":[98],"lead":[99],"(7-day":[101],"14-day)":[103],"study":[105],"further.":[106],"The":[107,125],"results":[108,127],"indicate":[109],"that":[110,129],"use":[112],"can":[116,132],"simulate":[117],"general":[119],"trend":[120],"biomass":[123],"reasonably.":[124],"experimental":[126],"show":[128],"reduce":[133],"significantly":[137],"compared":[138],"conventional":[140],"SVM":[141],"while":[143],"maintaining":[144],"satisfactory":[146],"accuracy.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
