{"id":"https://openalex.org/W2072803174","doi":"https://doi.org/10.1515/jisys-2013-0089","title":"Speaker Identification Using Empirical Mode Decomposition-Based Voice Activity Detection Algorithm under Realistic Conditions","display_name":"Speaker Identification Using Empirical Mode Decomposition-Based Voice Activity Detection Algorithm under Realistic Conditions","publication_year":2014,"publication_date":"2014-04-02","ids":{"openalex":"https://openalex.org/W2072803174","doi":"https://doi.org/10.1515/jisys-2013-0089","mag":"2072803174"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2013-0089","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2013-0089","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2013-0089/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2013-0089/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012276402","display_name":"M S Rudramurthy","orcid":null},"institutions":[{"id":"https://openalex.org/I4387153738","display_name":"Siddaganga Institute of Technology","ror":"https://ror.org/00wd8c661","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387153738"]},{"id":"https://openalex.org/I53508799","display_name":"Tumkur University","ror":"https://ror.org/02j63m808","country_code":"IN","type":"education","lineage":["https://openalex.org/I53508799"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"M.S. Rudramurthy","raw_affiliation_strings":["Department of IS&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India","1Department of IS&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IS&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India","institution_ids":["https://openalex.org/I53508799"]},{"raw_affiliation_string":"1Department of IS&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India","institution_ids":["https://openalex.org/I4387153738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029315773","display_name":"Nilabh Kumar Pathak","orcid":null},"institutions":[{"id":"https://openalex.org/I4387153738","display_name":"Siddaganga Institute of Technology","ror":"https://ror.org/00wd8c661","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387153738"]},{"id":"https://openalex.org/I53508799","display_name":"Tumkur University","ror":"https://ror.org/02j63m808","country_code":"IN","type":"education","lineage":["https://openalex.org/I53508799"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nilabh Kumar Pathak","raw_affiliation_strings":["Department of IS&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India","1Department of IS&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IS&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India","institution_ids":["https://openalex.org/I53508799"]},{"raw_affiliation_string":"1Department of IS&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India","institution_ids":["https://openalex.org/I4387153738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110244877","display_name":"V. Kamakshi Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I10874241","display_name":"Jawaharlal Nehru Technological University, Hyderabad","ror":"https://ror.org/002tchr49","country_code":"IN","type":"education","lineage":["https://openalex.org/I10874241"]},{"id":"https://openalex.org/I142809039","display_name":"Jawaharlal Nehru Technological University, Kakinada","ror":"https://ror.org/05s9t8c95","country_code":"IN","type":"education","lineage":["https://openalex.org/I142809039"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Kamakshi Prasad","raw_affiliation_strings":["School of Information Technology, JNTU, Kukatpally, Hyderabad 500085, Andhra Pradesh, India","2School of Information Technology, JNTU, Kukatpally, Hyderabad 500085, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, JNTU, Kukatpally, Hyderabad 500085, Andhra Pradesh, India","institution_ids":["https://openalex.org/I10874241"]},{"raw_affiliation_string":"2School of Information Technology, JNTU, Kukatpally, Hyderabad 500085, Andhra Pradesh, India","institution_ids":["https://openalex.org/I10874241","https://openalex.org/I142809039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063079692","display_name":"R. Kumaraswamy","orcid":"https://orcid.org/0000-0001-9409-9125"},"institutions":[{"id":"https://openalex.org/I4387153738","display_name":"Siddaganga Institute of Technology","ror":"https://ror.org/00wd8c661","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387153738"]},{"id":"https://openalex.org/I53508799","display_name":"Tumkur University","ror":"https://ror.org/02j63m808","country_code":"IN","type":"education","lineage":["https://openalex.org/I53508799"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Kumaraswamy","raw_affiliation_strings":["Senior Member, IEEE, Department of EC&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India","3Senior Member, IEEE, Department of EC&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Senior Member, IEEE, Department of EC&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India","institution_ids":["https://openalex.org/I53508799"]},{"raw_affiliation_string":"3Senior Member, IEEE, Department of EC&E, Siddaganga Institute of Technology, Tumkur 572103, Karnataka, India","institution_ids":["https://openalex.org/I4387153738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012276402"],"corresponding_institution_ids":["https://openalex.org/I4387153738","https://openalex.org/I53508799"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.8841,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75319854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":"4","first_page":"405","last_page":"421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994000196456909,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9959999918937683,"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8402099609375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.748849630355835},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7309614419937134},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5208775997161865},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5042611360549927},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5042563676834106},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4968593418598175},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4933106005191803},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.48540982604026794},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4648631513118744},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4547594487667084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.344411164522171},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.23327898979187012},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10137519240379333}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8402099609375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.748849630355835},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7309614419937134},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5208775997161865},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5042611360549927},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5042563676834106},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4968593418598175},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4933106005191803},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.48540982604026794},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4648631513118744},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4547594487667084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.344411164522171},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.23327898979187012},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10137519240379333},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2013-0089","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2013-0089","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2013-0089/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:15e5885c995840ca9d096f2f27c45a43","is_oa":true,"landing_page_url":"https://doaj.org/article/15e5885c995840ca9d096f2f27c45a43","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":"Journal of Intelligent Systems, Vol 23, Iss 4, Pp 405-421 (2014)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2013-0089","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2013-0089","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2013-0089/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2072803174.pdf","grobid_xml":"https://content.openalex.org/works/W2072803174.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W194843333","https://openalex.org/W1859249889","https://openalex.org/W1975045908","https://openalex.org/W1980931161","https://openalex.org/W1986478348","https://openalex.org/W1990441178","https://openalex.org/W2007221293","https://openalex.org/W2007321142","https://openalex.org/W2008957275","https://openalex.org/W2016998251","https://openalex.org/W2021775914","https://openalex.org/W2032071354","https://openalex.org/W2034766634","https://openalex.org/W2040266692","https://openalex.org/W2045037873","https://openalex.org/W2047399876","https://openalex.org/W2051970538","https://openalex.org/W2069883713","https://openalex.org/W2069976350","https://openalex.org/W2071341607","https://openalex.org/W2080794664","https://openalex.org/W2106665847","https://openalex.org/W2109896502","https://openalex.org/W2112180173","https://openalex.org/W2112690945","https://openalex.org/W2112844139","https://openalex.org/W2121061347","https://openalex.org/W2127406349","https://openalex.org/W2128653836","https://openalex.org/W2129244720","https://openalex.org/W2129276500","https://openalex.org/W2134383396","https://openalex.org/W2138402108","https://openalex.org/W2140208140","https://openalex.org/W2143873470","https://openalex.org/W2148154194","https://openalex.org/W2151899309","https://openalex.org/W2152657673","https://openalex.org/W2154877864","https://openalex.org/W2160097539","https://openalex.org/W2165880886","https://openalex.org/W2171000037","https://openalex.org/W2172128855","https://openalex.org/W2296031562","https://openalex.org/W2317919972","https://openalex.org/W4232380507","https://openalex.org/W6607733955","https://openalex.org/W6639250715","https://openalex.org/W6644287614","https://openalex.org/W6652365410","https://openalex.org/W6652374302","https://openalex.org/W6654705473","https://openalex.org/W6658299978","https://openalex.org/W6660534114","https://openalex.org/W6662233594","https://openalex.org/W6663393230","https://openalex.org/W6668492345","https://openalex.org/W6679777549","https://openalex.org/W6682812381","https://openalex.org/W6683726296","https://openalex.org/W6697094905","https://openalex.org/W6699926624"],"related_works":["https://openalex.org/W2120771489","https://openalex.org/W2955597484","https://openalex.org/W2294333436","https://openalex.org/W2653598178","https://openalex.org/W2373767407","https://openalex.org/W3110551121","https://openalex.org/W2131486661","https://openalex.org/W4252682934","https://openalex.org/W2851491717","https://openalex.org/W4200596008"],"abstract_inverted_index":{"Abstract":[0],"Speaker":[1],"recognition":[2,170],"(SR)":[3],"under":[4,22,59,95,264],"mismatched":[5],"conditions":[6,97,101,266],"is":[7,13,38,139,153,231,281,385],"a":[8,41,66,105,141,209,213,238,270,336],"challenging":[9],"task.":[10],"Speech":[11],"signal":[12],"nonlinear":[14],"and":[15,17,112,164,171,201,219,262,312,332,362,384],"nonstationary,":[16],"therefore,":[18],"difficult":[19],"to":[20,128],"analyze":[21],"realistic":[23,60,100,265,329],"conditions.":[24,61],"Also,":[25],"in":[26,35,99,149,248,288],"real":[27],"conditions,":[28],"the":[29,32,47,72,76,86,90,157,188,194,199,202,224,234,244,284,317,323,328,352,357,371],"nature":[30],"of":[31,49,75,81,89,187,196,226,237,276,290],"noise":[33,103],"present":[34],"speech":[36,109,161,165,169,320,330],"data":[37,110,145,162,166,246],"not":[39],"known":[40],"priori":[42],".":[43],"In":[44,221,294],"such":[45,255],"cases,":[46,296],"performance":[48,80,275],"speaker":[50,54,340],"identification":[51,292],"(SI)":[52],"or":[53,93,98],"verification":[55],"(SV)":[56],"degrades":[57],"considerably":[58],"Any":[62],"SR":[63,91,172,189],"system":[64,94,190],"uses":[65],"voice":[67],"activity":[68],"detector":[69],"(VAD)":[70],"as":[71,129,256,335],"front-end":[73],"subsystem":[74,186],"whole":[77],"system.":[78],"The":[79,274,347],"most":[82],"VADs":[83],"deteriorates":[84],"at":[85,233,251,364,380],"front":[87,235,366,382],"end":[88,236,367],"task":[92,242,280,355,373],"degraded":[96],"where":[102],"plays":[104],"major":[106],"role.":[107],"Recently,":[108,160,205],"analysis":[111,146,163],"processing":[113,167,308],"using":[114,174,212,267,322,342,360],"Norden":[115],"E.":[116],"Huang\u2019s":[117],"empirical":[118],"mode":[119],"decomposition":[120],"(EMD)":[121],"combined":[122],"with":[123,356,374],"Hilbert":[124],"transform,":[125],"commonly":[126],"referred":[127],"Hilbert\u2013Huang":[130],"transform":[131],"(HHT),":[132],"has":[133,181],"become":[134,182],"an":[135,140,183,227],"emerging":[136],"trend.":[137],"EMD":[138,175,363],"posteriori":[142],",":[143],"adaptive,":[144],"tool":[147],"used":[148,334,379],"time":[150],"domain":[151],"that":[152,191,351],"widely":[154,297],"accepted":[155,298],"by":[156,305],"research":[158],"community.":[159],"for":[168,243,339],"tasks":[173],"have":[176,207],"been":[177],"increasing.":[178],"EMD-based":[179,228],"VAD":[180,210,229,287,325,358,377],"important":[184],"adaptive":[185],"mostly":[192],"mitigates":[193],"effect":[195],"mismatch":[197],"between":[198],"training":[200],"testing":[203],"phase.":[204],"we":[206],"developed":[208],"algorithm":[211,230,359],"zero-frequency":[214],"filter-assisted":[215],"peaking":[216],"resonator":[217],"(ZFFPR)":[218],"EMD.":[220],"this":[222,277],"article,":[223],"efficacy":[225],"studied":[232],"text-independent":[239],"language-independent":[240],"SI":[241,279,354,372],"speaker\u2019s":[245],"collected":[247],"three":[249],"languages":[250],"five":[252],"different":[253],"places,":[254],"home,":[257],"street,":[258],"laboratory,":[259],"college":[260],"campus,":[261],"restaurant,":[263],"EDIROL-R09":[268],"HR,":[269],"24-bit":[271],"wav/MP3":[272],"recorder.":[273],"proposed":[278,353],"compared":[282],"against":[283],"traditional":[285],"energy-based":[286,376],"terms":[289],"percentage":[291],"rate.":[293],"both":[295],"Mel":[299],"frequency":[300],"cepstral":[301],"coefficients":[302],"are":[303,333],"computed":[304],"employing":[306],"frame":[307,310,314],"(20-ms":[309],"size":[311],"10-ms":[313],"shift)":[315],"from":[316,327],"extracted":[318],"voiced":[319],"regions":[321],"respective":[324],"techniques":[326],"utterances,":[331],"feature":[337],"vector":[338],"modeling":[341],"popular":[343],"Gaussian":[344],"mixture":[345],"models.":[346],"experimental":[348],"results":[349],"showed":[350],"ZFFPR":[361],"its":[365,381],"performs":[368],"better":[369],"than":[370],"short-term":[375],"when":[378],"end,":[383],"somewhat":[386],"encouraging.":[387]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-06-24T00:00:00"}