{"id":"https://openalex.org/W4401508633","doi":"https://doi.org/10.1109/infocom52122.2024.10621343","title":"Neural Enhanced Underwater SOS Detection","display_name":"Neural Enhanced Underwater SOS Detection","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401508633","doi":"https://doi.org/10.1109/infocom52122.2024.10621343"},"language":"en","primary_location":{"id":"doi:10.1109/infocom52122.2024.10621343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","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/A5023276909","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0002-5202-7892"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["The Hong Kong Polytechnic University,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091556511","display_name":"Yuanqing Zheng","orcid":"https://orcid.org/0000-0003-3096-687X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuanqing Zheng","raw_affiliation_strings":["The Hong Kong Polytechnic University,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"971","last_page":"980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9973999857902527,"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":0.9973999857902527,"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":0.9950000047683716,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9861999750137329,"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/underwater","display_name":"Underwater","score":0.6239941716194153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5978270769119263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4491087794303894},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4257453680038452},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14486801624298096}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6239941716194153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978270769119263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4491087794303894},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4257453680038452},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14486801624298096},{"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:10.1109/infocom52122.2024.10621343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1538006934","https://openalex.org/W1627054999","https://openalex.org/W2007546674","https://openalex.org/W2069006412","https://openalex.org/W2082045336","https://openalex.org/W2082833531","https://openalex.org/W2155226770","https://openalex.org/W2158310867","https://openalex.org/W2170984917","https://openalex.org/W2210445161","https://openalex.org/W2550481730","https://openalex.org/W2565991743","https://openalex.org/W2801018505","https://openalex.org/W2904508453","https://openalex.org/W2951482158","https://openalex.org/W2955510419","https://openalex.org/W2965352350","https://openalex.org/W2967580400","https://openalex.org/W3003342279","https://openalex.org/W3006378440","https://openalex.org/W3013053222","https://openalex.org/W3088701405","https://openalex.org/W3174621004","https://openalex.org/W3203547761","https://openalex.org/W3215835999","https://openalex.org/W4205691036","https://openalex.org/W4226050909","https://openalex.org/W4283218317","https://openalex.org/W4285041827","https://openalex.org/W4285815117","https://openalex.org/W4290991650","https://openalex.org/W4295979802","https://openalex.org/W4296002938","https://openalex.org/W4381946528","https://openalex.org/W4386348861","https://openalex.org/W4395667082","https://openalex.org/W6636671767","https://openalex.org/W7071130813"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4388412763","https://openalex.org/W1999583034","https://openalex.org/W2390279801","https://openalex.org/W3217214504","https://openalex.org/W3168963531","https://openalex.org/W2591930867","https://openalex.org/W2358668433","https://openalex.org/W2953138830"],"abstract_inverted_index":{"Every":[0],"day,":[1],"one":[2],"person":[3],"loses":[4],"his":[5],"life":[6],"due":[7],"to":[8,19,113,230],"drowning":[9,25],"in":[10,68,93,101,123,129,155,195,234],"swimming":[11,70,103,198,235],"pools,":[12],"even":[13],"with":[14,172,207],"professional":[15],"lifeguards":[16],"present.":[17],"Contrary":[18],"what":[20],"the":[21,44,47,69,90,102,139,146,149,218],"public":[22],"might":[23],"assume,":[24],"swimmers":[26,45],"can":[27,84,105,203],"hardly":[28],"splash":[29],"or":[30],"yell":[31],"for":[32,38],"help.":[33],"This":[34,49],"life-threatening":[35],"situation":[36],"calls":[37],"a":[39,53,86,115,166,196,208],"robust":[40,167],"SOS":[41,56,81,107,127,168,188,205],"channel":[42],"between":[43],"and":[46,64,109,144],"lifeguards.":[48],"paper":[50],"proposes":[51],"Neusos,":[52],"neural-enhanced":[54],"underwater":[55,99,131,142,156,187,215],"communication":[57,157],"system":[58,226],"based":[59],"on":[60,160],"commercial":[61],"wearable":[62,76],"devices":[63,77],"low-cost":[65],"hydrophones":[66],"deployed":[67],"pool.":[71],"Specifically,":[72],"we":[73,136,164],"repurpose":[74],"popular":[75],"(e.g.,":[78],"smartwatches)":[79],"as":[80],"transmitters,":[82],"which":[83],"send":[85],"distress":[87],"signal":[88,152,178,185],"when":[89],"user":[91],"is":[92],"an":[94,98],"emergency.":[95],"In":[96,191],"response,":[97],"hydrophone":[100],"pool":[104,199],"detect":[106,204],"signals":[108,128,206],"make":[110],"alerts":[111],"immediately":[112],"facilitate":[114],"timely":[116],"rescue.":[117],"The":[118],"main":[119],"technical":[120],"challenge":[121],"lies":[122],"reliably":[124],"detecting":[125],"weak":[126],"non-stationary":[130],"scenarios.":[132,158],"To":[133],"achieve":[134],"so,":[135],"thoroughly":[137],"characterize":[138],"properties":[140],"of":[141,148,211,221],"channels":[143],"examine":[145],"limitations":[147],"traditional":[150,184],"correlation-based":[151],"detection":[153,169,189,209],"method":[154,170],"Based":[159],"our":[161,193,225],"empirical":[162],"findings,":[163],"developed":[165],"enhanced":[171],"deep":[173],"learning.":[174],"By":[175],"fully":[176],"embedding":[177],"characteristics":[179],"into":[180],"networks,":[181],"Neusos":[182,202],"outperforms":[183],"processing-based":[186],"methods.":[190],"particular,":[192],"experiments":[194],"real":[197],"show":[200],"that":[201],"rate":[210],"98.2%":[212],"under":[213],"various":[214],"conditions.":[216],"Given":[217],"increasing":[219],"popularity":[220],"smartwatches":[222],"among":[223],"swimmers,":[224],"holds":[227],"immense":[228],"potential":[229],"enhance":[231],"their":[232],"safety":[233],"pools.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}