{"id":"https://openalex.org/W2769366145","doi":"https://doi.org/10.1145/3148675.3148717","title":"Matched-field source localization using sparsely-coded neural network and data-model mixed training","display_name":"Matched-field source localization using sparsely-coded neural network and data-model mixed training","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2769366145","doi":"https://doi.org/10.1145/3148675.3148717","mag":"2769366145"},"language":"en","primary_location":{"id":"doi:10.1145/3148675.3148717","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148675.3148717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Underwater Networks & Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5047916529","display_name":"Shougui Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shougui Cai","raw_affiliation_strings":["College of Information Science and Electronic Eng., Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Eng., Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075398704","display_name":"Wen Xu","orcid":"https://orcid.org/0000-0001-9138-8773"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Xu","raw_affiliation_strings":["College of Information Science and Electronic Eng., Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Eng., Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.20257235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":1.0,"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/T11698","display_name":"Underwater Acoustics Research","score":1.0,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10860","display_name":"Speech and Audio Processing","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7862359881401062},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6626167297363281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6502590775489807},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.62999427318573},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.6101109385490417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5218414664268494},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5148534178733826},{"id":"https://openalex.org/keywords/acoustic-source-localization","display_name":"Acoustic source localization","score":0.43978238105773926},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4188002049922943},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41081953048706055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3359946012496948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12525981664657593},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07407104969024658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7862359881401062},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6626167297363281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6502590775489807},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.62999427318573},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6101109385490417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5218414664268494},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5148534178733826},{"id":"https://openalex.org/C93240960","wikidata":"https://www.wikidata.org/wiki/Q217270","display_name":"Acoustic source localization","level":3,"score":0.43978238105773926},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4188002049922943},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41081953048706055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3359946012496948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12525981664657593},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07407104969024658},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3148675.3148717","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148675.3148717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Underwater Networks & Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1553268929","https://openalex.org/W1627801536","https://openalex.org/W1977748260","https://openalex.org/W1992006420","https://openalex.org/W1993339282","https://openalex.org/W2018476730","https://openalex.org/W2023603021","https://openalex.org/W2032232823","https://openalex.org/W2056608217","https://openalex.org/W2077946746","https://openalex.org/W2109100930","https://openalex.org/W2584180403","https://openalex.org/W3103163183"],"related_works":["https://openalex.org/W4388412763","https://openalex.org/W1999583034","https://openalex.org/W3217214504","https://openalex.org/W3168963531","https://openalex.org/W2591930867","https://openalex.org/W2953138830","https://openalex.org/W2773822314","https://openalex.org/W3176162126","https://openalex.org/W2743078318","https://openalex.org/W2605833352"],"abstract_inverted_index":{"Source":[0],"localization":[1,69,81],"is":[2,20,27,43,70,83,136],"a":[3,58,73,78,87],"basic":[4],"problem":[5,32,76],"in":[6,119,144],"underwater":[7,145],"acoustics.":[8],"Many":[9],"solving":[10],"approaches":[11],"have":[12],"been":[13],"developed,":[14],"and":[15,33,52,77,96,139],"the":[16,23,30,38,50,102,112],"matched-field":[17,79,131],"processing":[18],"(MFP)":[19],"one":[21],"of":[22,40],"mostly-studied.":[24],"However,":[25],"MFP":[26],"sensitive":[28],"to":[29,56],"mismatch":[31],"performs":[34],"well":[35],"only":[36],"when":[37],"knowledge":[39],"ocean":[41],"environment":[42,94],"accurate.":[44],"Machine":[45],"learning":[46,75,134],"learns":[47],"directly":[48],"from":[49,104],"observation":[51],"can":[53,100],"be":[54],"designed":[55],"learn":[57],"generic":[59],"model":[60,82,103,114,135],"suitable":[61],"for":[62,123],"different":[63],"scenarios.":[64],"In":[65],"this":[66],"paper,":[67],"source":[68,80,120,146],"viewed":[71],"as":[72],"machine":[74,133],"learned":[84,113],"by":[85],"training":[86],"sparsely-coded":[88],"feed-forward":[89],"neural":[90],"network":[91,99],"with":[92,129],"mixed":[93],"models":[95],"data.":[97],"Sparsely-coded":[98],"prevent":[101],"over-learning.":[105],"Results":[106],"on":[107],"SWellEx-96":[108],"experiment":[109],"show":[110],"that":[111],"achieves":[115],"good":[116],"positioning":[117],"performance":[118],"range":[121],"estimation":[122],"varying":[124],"sound-speed":[125],"profiles":[126],"(SSP).":[127],"Compared":[128],"Bartlett":[130],"processing,":[132],"more":[137],"robust":[138],"thus":[140],"has":[141],"potential":[142],"advantages":[143],"localization.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}