{"id":"https://openalex.org/W4396629987","doi":"https://doi.org/10.1145/3654446.3654482","title":"Deep learning for multi-data fusion in gravitational wave search","display_name":"Deep learning for multi-data fusion in gravitational wave search","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4396629987","doi":"https://doi.org/10.1145/3654446.3654482"},"language":"en","primary_location":{"id":"doi:10.1145/3654446.3654482","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654446.3654482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Signal Processing, Computer Networks and Communications","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":null,"display_name":"Chunliang Ma","orcid":"https://orcid.org/0009-0003-0395-2672"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunliang Ma","raw_affiliation_strings":["School of Information Engineering, Jiangxi University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0003-0395-2672","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jun Ye","orcid":"https://orcid.org/0009-0005-4346-8521"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Ye","raw_affiliation_strings":["School of Information Engineering, Jiangxi University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0005-4346-8521","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391859","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-0897-9343"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Computer Science and Technology, Fudan University, China"],"raw_orcid":"https://orcid.org/0000-0002-0897-9343","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065141942","display_name":"Guansheng He","orcid":"https://orcid.org/0000-0002-6145-0449"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guansheng He","raw_affiliation_strings":["School of Computer Science and Technology, Fudan University, China"],"raw_orcid":"https://orcid.org/0000-0002-6145-0449","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4510145"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16688735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10463","display_name":"Pulsars and Gravitational Waves Research","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9865999817848206,"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/T11323","display_name":"Gamma-ray bursts and supernovae","score":0.9696000218391418,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7110930681228638},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6760420203208923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6649776697158813},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6500729322433472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6328701972961426},{"id":"https://openalex.org/keywords/gravitational-wave","display_name":"Gravitational wave","score":0.609210193157196},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5494099855422974},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5367089509963989},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.46271535754203796},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41324082016944885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4026031196117401},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33993399143218994},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2225763499736786},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09079694747924805},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.08178430795669556}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7110930681228638},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6760420203208923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6649776697158813},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6500729322433472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6328701972961426},{"id":"https://openalex.org/C190330329","wikidata":"https://www.wikidata.org/wiki/Q190035","display_name":"Gravitational wave","level":2,"score":0.609210193157196},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5494099855422974},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5367089509963989},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.46271535754203796},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41324082016944885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4026031196117401},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33993399143218994},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2225763499736786},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09079694747924805},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.08178430795669556},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3654446.3654482","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654446.3654482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Signal Processing, Computer Networks and 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":12,"referenced_works":["https://openalex.org/W2568927912","https://openalex.org/W2775923832","https://openalex.org/W2971836485","https://openalex.org/W2976778558","https://openalex.org/W3097015874","https://openalex.org/W3106162278","https://openalex.org/W3168132886","https://openalex.org/W3174582353","https://openalex.org/W4212774754","https://openalex.org/W4224766872","https://openalex.org/W6664945161","https://openalex.org/W6822895469"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W1983393909","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Deep":[0],"learning":[1,28,75],"for":[2,63,76],"gravitational":[3,21,77],"wave":[4,22,78],"detection":[5,23,131,139,169],"is":[6],"a":[7],"research":[8,58],"hotspot":[9],"in":[10,145],"recent":[11],"years.":[12],"Compared":[13],"with":[14,161,166],"the":[15,20,30,39,57,71,91,101,118,123,129,150,154,167],"traditional":[16],"matched":[17],"filter":[18],"method,":[19,103],"method":[24,152],"based":[25],"on":[26],"deep":[27,35],"has":[29,153],"advantage":[31],"of":[32,41,51,59,73,117,141],"efficiency.":[33],"However,":[34],"learning-based":[36],"methods":[37,62,107,165],"face":[38],"problem":[40],"low":[42,134],"robustness":[43,72],"and":[44,82,97,104,110],"physical":[45],"explanability.":[46],"The":[47,80,114,138],"future":[48],"parallel":[49],"operation":[50],"new":[52],"ground":[53],"detectors":[54],"will":[55],"prompt":[56],"data":[60,68,89,99,144,163],"analysis":[61],"multi-detector":[64,67],"fusion.":[65],"Fusing":[66],"can":[69,127],"improve":[70],"in-depth":[74],"detection.":[79],"Hanford":[81,109],"Livingston":[83,111],"models":[84],"are":[85,112],"trained":[86],"using":[87],"published":[88],"from":[90,100,108],"Advanced":[92],"Laser":[93],"Gravitational":[94],"Wave":[95],"Observatory":[96],"synthetic":[98],"SEOBNRv4":[102],"four":[105],"fusion":[106,126,164],"studied.":[113],"test":[115,119],"results":[116,132,140],"set":[120],"show":[121,148],"that":[122,149],"arithmetic":[124],"average":[125],"achieve":[128],"best":[130],"at":[133],"false":[135,156],"alarm":[136,157],"probability.":[137,170],"one":[142],"month":[143],"August":[146],"2017":[147],"mean":[151],"strongest":[155],"suppression":[158],"ability":[159],"compared":[160],"other":[162],"same":[168]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
