{"id":"https://openalex.org/W4403756042","doi":"https://doi.org/10.1088/2632-2153/ad8b94","title":"Automated design of digital filters using convolutional neural networks for extracting ringdown gravitational waves","display_name":"Automated design of digital filters using convolutional neural networks for extracting ringdown gravitational waves","publication_year":2024,"publication_date":"2024-10-25","ids":{"openalex":"https://openalex.org/W4403756042","doi":"https://doi.org/10.1088/2632-2153/ad8b94"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad8b94","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad8b94","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2632-2153/ad8b94","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104832416","display_name":"Kazuki Sakai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094206","display_name":"Nagaoka National College of Technology","ror":"https://ror.org/00jaard37","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210094206"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuki Sakai","raw_affiliation_strings":["Department of Electronic Control Engineering, National Institute of Technology, Nagaoka College, 888 Nishikatakai, Nagaoka, Niigata 940-8532, Japan"],"raw_orcid":"https://orcid.org/0009-0000-2457-3901","affiliations":[{"raw_affiliation_string":"Department of Electronic Control Engineering, National Institute of Technology, Nagaoka College, 888 Nishikatakai, Nagaoka, Niigata 940-8532, Japan","institution_ids":["https://openalex.org/I4210094206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092061338","display_name":"Sodtavilan Odonchimed","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094206","display_name":"Nagaoka National College of Technology","ror":"https://ror.org/00jaard37","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210094206"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sodtavilan Odonchimed","raw_affiliation_strings":["Department of Electronic Control Engineering, National Institute of Technology, Nagaoka College, 888 Nishikatakai, Nagaoka, Niigata 940-8532, Japan"],"raw_orcid":"https://orcid.org/0009-0001-6823-6568","affiliations":[{"raw_affiliation_string":"Department of Electronic Control Engineering, National Institute of Technology, Nagaoka College, 888 Nishikatakai, Nagaoka, Niigata 940-8532, Japan","institution_ids":["https://openalex.org/I4210094206"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mitsuki Takano","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094206","display_name":"Nagaoka National College of Technology","ror":"https://ror.org/00jaard37","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210094206"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuki Takano","raw_affiliation_strings":["Department of Electronic Control Engineering, National Institute of Technology, Nagaoka College, 888 Nishikatakai, Nagaoka, Niigata 940-8532, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Control Engineering, National Institute of Technology, Nagaoka College, 888 Nishikatakai, Nagaoka, Niigata 940-8532, Japan","institution_ids":["https://openalex.org/I4210094206"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049271542","display_name":"Hirotaka Takahashi","orcid":"https://orcid.org/0000-0003-0596-4397"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirotaka Takahashi","raw_affiliation_strings":["Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan","Institute for Cosmic Ray Research (ICRR), The University of Tokyo, 5-1-5 Kashiwa-no-Ha, Kashiwa City, Chiba 277-8582, Japan","Research Center for Space Science, Advanced Research Laboratories and Department of Design and Data Science, Tokyo City University, 3-3-1 Ushikubo-Nishi, Tsuzuki-ku, Yokohama, Kanagawa 224-8551, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0596-4397","affiliations":[{"raw_affiliation_string":"Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Institute for Cosmic Ray Research (ICRR), The University of Tokyo, 5-1-5 Kashiwa-no-Ha, Kashiwa City, Chiba 277-8582, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Research Center for Space Science, Advanced Research Laboratories and Department of Design and Data Science, Tokyo City University, 3-3-1 Ushikubo-Nishi, Tsuzuki-ku, Yokohama, Kanagawa 224-8551, Japan","institution_ids":["https://openalex.org/I185088104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104832416"],"corresponding_institution_ids":["https://openalex.org/I4210094206"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.6321,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72071424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"5","issue":"4","first_page":"045043","last_page":"045043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10463","display_name":"Pulsars and Gravitational Waves Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10463","display_name":"Pulsars and Gravitational Waves Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9860000014305115,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7306250333786011},{"id":"https://openalex.org/keywords/gravitational-wave","display_name":"Gravitational wave","score":0.6849468350410461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5199400186538696},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.48132264614105225},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3474887013435364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34696274995803833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3381887674331665},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3373410701751709},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18142417073249817},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.14151206612586975}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7306250333786011},{"id":"https://openalex.org/C190330329","wikidata":"https://www.wikidata.org/wiki/Q190035","display_name":"Gravitational wave","level":2,"score":0.6849468350410461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5199400186538696},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.48132264614105225},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3474887013435364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34696274995803833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3381887674331665},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3373410701751709},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18142417073249817},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.14151206612586975}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/ad8b94","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad8b94","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:44148bd3a3dd41e08e75ec8eb25044b5","is_oa":true,"landing_page_url":"https://doaj.org/article/44148bd3a3dd41e08e75ec8eb25044b5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 5, Iss 4, p 045043 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad8b94","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad8b94","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W305277779","https://openalex.org/W1498436455","https://openalex.org/W1731811386","https://openalex.org/W1995341919","https://openalex.org/W2031486433","https://openalex.org/W2068199034","https://openalex.org/W2068755831","https://openalex.org/W2147800946","https://openalex.org/W2147829712","https://openalex.org/W2163605009","https://openalex.org/W2166436681","https://openalex.org/W2194775991","https://openalex.org/W2519091744","https://openalex.org/W2560177689","https://openalex.org/W2568927912","https://openalex.org/W2581294054","https://openalex.org/W2611363611","https://openalex.org/W2613986779","https://openalex.org/W2790235314","https://openalex.org/W2799244439","https://openalex.org/W2801462076","https://openalex.org/W2809261986","https://openalex.org/W2901378136","https://openalex.org/W2903731912","https://openalex.org/W2907952156","https://openalex.org/W2940261095","https://openalex.org/W2942776032","https://openalex.org/W2942867706","https://openalex.org/W2955470973","https://openalex.org/W2963304089","https://openalex.org/W2971836485","https://openalex.org/W2973034339","https://openalex.org/W2973095452","https://openalex.org/W2981978129","https://openalex.org/W2997585343","https://openalex.org/W3000462360","https://openalex.org/W3003742949","https://openalex.org/W3003966848","https://openalex.org/W3010341457","https://openalex.org/W3012478307","https://openalex.org/W3022220801","https://openalex.org/W3022596706","https://openalex.org/W3049248338","https://openalex.org/W3091954596","https://openalex.org/W3094812309","https://openalex.org/W3100127953","https://openalex.org/W3107833251","https://openalex.org/W3109557903","https://openalex.org/W3112598512","https://openalex.org/W3129039505","https://openalex.org/W3134408828","https://openalex.org/W3139116291","https://openalex.org/W3143716430","https://openalex.org/W3176256066","https://openalex.org/W3190342835","https://openalex.org/W3190459805","https://openalex.org/W3190756216","https://openalex.org/W3199278134","https://openalex.org/W4221153800","https://openalex.org/W4226409475","https://openalex.org/W4281619851","https://openalex.org/W4282974859","https://openalex.org/W4283639800","https://openalex.org/W4288692454","https://openalex.org/W4289917843","https://openalex.org/W4307082099","https://openalex.org/W4313288442","https://openalex.org/W4327545949","https://openalex.org/W4383905772","https://openalex.org/W4389116149","https://openalex.org/W4400689200","https://openalex.org/W6610778995","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6737276007","https://openalex.org/W6785071797","https://openalex.org/W6859551823"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2246930524","https://openalex.org/W2947043951","https://openalex.org/W4389687575","https://openalex.org/W2387393571"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"observation":[2],"of":[3,12,43,63,124],"gravitational":[4,20,44,99,125],"waves":[5,126],"is":[6,23,36],"expected":[7],"to":[8,15,33,38,91],"allow":[9],"new":[10],"tests":[11],"general":[13],"relativity":[14],"be":[16,67],"performed.":[17],"As":[18],"the":[19,40,61,72,110,113,117,135],"wave":[21,45,100],"signal":[22],"hidden":[24],"by":[25],"detector":[26,143],"noise":[27,35,49],"in":[28,82,109],"observed":[29],"data,":[30],"a":[31,54,87],"method":[32,90,137],"reduce":[34,116,142],"required":[37],"analyze":[39],"ringdown":[41,98],"phase":[42],"signals.":[46,101],"Recently,":[47],"some":[48],"reduction":[50],"methods":[51,65],"based":[52],"on":[53],"neural":[55,88],"network":[56],"have":[57],"been":[58],"proposed;":[59],"however,":[60],"results":[62],"these":[64],"must":[66],"considered":[68],"with":[69,122],"caution":[70],"because":[71,112],"output":[73,111],"can":[74],"contain":[75],"spurious":[76,106],"components.":[77],"To":[78],"overcome":[79],"this":[80,83,103],"limitation,":[81],"study,":[84],"we":[85],"developed":[86],"network\u2013based":[89],"design":[92],"optimal":[93],"digital":[94,114],"filters":[95,115,140],"for":[96],"extracting":[97],"In":[102],"method,":[104],"no":[105],"components":[107],"appear":[108],"noise.":[118,144],"We":[119],"conducted":[120],"simulations":[121],"waveforms":[123],"from":[127],"binary":[128],"black":[129],"hole":[130],"coalescence":[131],"and":[132],"confirmed":[133],"that":[134,141],"proposed":[136],"designs":[138],"appropriate":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}