{"id":"https://openalex.org/W7164165921","doi":"https://doi.org/10.48550/arxiv.2606.10811","title":"Deep learning for echo sounder data","display_name":"Deep learning for echo sounder data","publication_year":2026,"publication_date":"2026-06-09","ids":{"openalex":"https://openalex.org/W7164165921","doi":"https://doi.org/10.48550/arxiv.2606.10811"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.10811","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10811","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.10811","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061545123","display_name":"Ketil Malde","orcid":"https://orcid.org/0000-0001-7381-1849"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Malde, Ketil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5061545123"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.7085000276565552,"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":0.7085000276565552,"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":0.056299999356269836,"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/T10659","display_name":"Marine animal studies overview","score":0.0284000001847744,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/deep-learning","display_name":"Deep learning","score":0.7531999945640564},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5863000154495239},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.5493999719619751},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.525600016117096},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4081999957561493},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.35830000042915344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3174999952316284}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7531999945640564},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5863000154495239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5778999924659729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5514000058174133},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.5493999719619751},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.525600016117096},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C67467970","wikidata":"https://www.wikidata.org/wiki/Q1292425","display_name":"Underwater acoustics","level":3,"score":0.30799999833106995},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C50254455","wikidata":"https://www.wikidata.org/wiki/Q1164536","display_name":"Echo sounding","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2752000093460083},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.27459999918937683},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.26269999146461487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.10811","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10811","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.10811","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10811","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5612605214118958}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"There":[0],"is":[1,32,98],"no":[2],"doubt":[3],"that":[4,62],"over":[5],"the":[6,11,91,101,113,128],"last":[7],"decade,":[8],"techniques":[9,86],"from":[10,87],"field":[12],"of":[13,36,67,83,103,115],"machine":[14],"learning":[15,41,78],"have":[16,43],"revolutionized":[17],"how":[18],"we":[19,60],"process":[20],"and":[21,26,38,48,85,107,109],"interpret":[22],"data,":[23,51,69],"especially":[24],"images":[25],"text.":[27],"For":[28],"underwater":[29],"observations":[30],"acoustics":[31,50],"a":[33],"primary":[34],"source":[35],"information,":[37],"naturally,":[39],"deep":[40,77],"methods":[42,79],"been":[44],"applied":[45],"to":[46,64],"echograms":[47],"other":[49],"but":[52],"so":[53],"far":[54],"with":[55,122],"rather":[56],"modest":[57],"results.":[58],"Here,":[59],"argue":[61],"due":[63],"intrinsic":[65],"properties":[66],"acoustic":[68],"substantial":[70],"advances":[71],"will":[72],"likely":[73],"require":[74],"research":[75],"into":[76],"beyond":[80],"mere":[81],"recycling":[82],"models":[84],"image":[88],"processing.":[89],"Currently,":[90],"potential":[92],"for":[93],"breakthroughs":[94],"in":[95],"method":[96],"development":[97],"hindered":[99],"by":[100,112],"lack":[102,114],"standard":[104],"data":[105,120],"formats":[106],"organization,":[108],"even":[110],"more":[111],"readily":[116],"available,":[117],"high":[118],"quality":[119],"sets":[121],"established":[123],"performance":[124],"goals.":[125],"To":[126],"advance":[127],"field,":[129],"these":[130],"shortcomings":[131],"should":[132],"be":[133],"remedied":[134]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-11T00:00:00"}