{"id":"https://openalex.org/W4205723441","doi":"https://doi.org/10.3390/ijgi11010071","title":"Indoor Positioning Algorithm Based on Reconstructed Observation Model and Particle Filter","display_name":"Indoor Positioning Algorithm Based on Reconstructed Observation Model and Particle Filter","publication_year":2022,"publication_date":"2022-01-17","ids":{"openalex":"https://openalex.org/W4205723441","doi":"https://doi.org/10.3390/ijgi11010071"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi11010071","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11010071","pdf_url":"https://www.mdpi.com/2220-9964/11/1/71/pdf?version=1642475471","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/11/1/71/pdf?version=1642475471","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100647268","display_name":"Li Ma","orcid":"https://orcid.org/0000-0003-2956-171X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Ma","raw_affiliation_strings":["College of Electrical Engineering, Henan University of Technology, Zhengzhou 450052, China","School of Computer and Information, Hohai University, Nanjing 211106, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Henan University of Technology, Zhengzhou 450052, China","institution_ids":["https://openalex.org/I36152291"]},{"raw_affiliation_string":"School of Computer and Information, Hohai University, Nanjing 211106, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031865097","display_name":"Ning Cao","orcid":"https://orcid.org/0000-0003-2690-7105"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Cao","raw_affiliation_strings":["School of Computer and Information, Hohai University, Nanjing 211106, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hohai University, Nanjing 211106, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034570500","display_name":"Xiaoliang Feng","orcid":"https://orcid.org/0000-0002-8798-2312"},"institutions":[{"id":"https://openalex.org/I4210156189","display_name":"Shanghai Dianji University","ror":"https://ror.org/055fene14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Feng","raw_affiliation_strings":["School of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China","institution_ids":["https://openalex.org/I4210156189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390066","display_name":"Jianping Zhang","orcid":"https://orcid.org/0000-0001-7141-9464"},"institutions":[{"id":"https://openalex.org/I4210156872","display_name":"Guizhou Institute of Technology","ror":"https://ror.org/05x510r30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Zhang","raw_affiliation_strings":["School of Information Engineering, Zhengzhou Institute of Technology, Zhengzhou 450044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou Institute of Technology, Zhengzhou 450044, China","institution_ids":["https://openalex.org/I4210156872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002526158","display_name":"Jingjing Yan","orcid":"https://orcid.org/0000-0003-4082-8438"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Yan","raw_affiliation_strings":["College of Electrical Engineering, Henan University of Technology, Zhengzhou 450052, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Henan University of Technology, Zhengzhou 450052, China","institution_ids":["https://openalex.org/I36152291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031865097"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":{"value":1700,"currency":"CHF","value_usd":1893},"apc_paid":{"value":1700,"currency":"CHF","value_usd":1893},"fwci":0.4645,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66886194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"11","issue":"1","first_page":"71","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6747406721115112},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6356585621833801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6288121342658997},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.582129180431366},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5520341396331787},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5343564748764038},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.46332448720932007},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.4573892652988434},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.45409008860588074},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4519384801387787},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45162102580070496},{"id":"https://openalex.org/keywords/positioning-system","display_name":"Positioning system","score":0.41977012157440186},{"id":"https://openalex.org/keywords/received-signal-strength-indication","display_name":"Received signal strength indication","score":0.41775763034820557},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.4152160584926605},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.41011175513267517},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40957799553871155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3941098749637604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34672296047210693},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20870858430862427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20480403304100037},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12171602249145508}],"concepts":[{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6747406721115112},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6356585621833801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6288121342658997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.582129180431366},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5520341396331787},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5343564748764038},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.46332448720932007},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.4573892652988434},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.45409008860588074},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4519384801387787},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45162102580070496},{"id":"https://openalex.org/C2778603505","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning system","level":3,"score":0.41977012157440186},{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.41775763034820557},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.4152160584926605},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.41011175513267517},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40957799553871155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3941098749637604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34672296047210693},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20870858430862427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20480403304100037},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12171602249145508},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi11010071","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11010071","pdf_url":"https://www.mdpi.com/2220-9964/11/1/71/pdf?version=1642475471","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:13fc1ef613e44ac18458a2ca62535f76","is_oa":true,"landing_page_url":"https://doaj.org/article/13fc1ef613e44ac18458a2ca62535f76","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":"ISPRS International Journal of Geo-Information, Vol 11, Iss 1, p 71 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/11/1/71/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi11010071","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 11; Issue 1; Pages: 71","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi11010071","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11010071","pdf_url":"https://www.mdpi.com/2220-9964/11/1/71/pdf?version=1642475471","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G403888601","display_name":null,"funder_award_id":"61773154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8214226755","display_name":null,"funder_award_id":"U1804163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205723441.pdf","grobid_xml":"https://content.openalex.org/works/W4205723441.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1495993050","https://openalex.org/W2027651497","https://openalex.org/W2072476227","https://openalex.org/W2081258511","https://openalex.org/W2081829568","https://openalex.org/W2101674911","https://openalex.org/W2111072639","https://openalex.org/W2121971770","https://openalex.org/W2146745466","https://openalex.org/W2158054309","https://openalex.org/W2188023810","https://openalex.org/W2342827161","https://openalex.org/W2518668069","https://openalex.org/W2529337095","https://openalex.org/W2582846117","https://openalex.org/W2607595839","https://openalex.org/W2743154212","https://openalex.org/W2787008709","https://openalex.org/W2801784285","https://openalex.org/W2897886457","https://openalex.org/W2922250183","https://openalex.org/W2941009020","https://openalex.org/W2944307380","https://openalex.org/W2947917464","https://openalex.org/W2976979314","https://openalex.org/W2982631407","https://openalex.org/W2985781125","https://openalex.org/W2997240475","https://openalex.org/W3012271757","https://openalex.org/W3016703042","https://openalex.org/W3017074455","https://openalex.org/W3041801645","https://openalex.org/W3049444621","https://openalex.org/W3127374411","https://openalex.org/W3163005090","https://openalex.org/W3192199635","https://openalex.org/W3217649040","https://openalex.org/W4255863451","https://openalex.org/W6671171922","https://openalex.org/W6687533173","https://openalex.org/W6776985078","https://openalex.org/W6780370181"],"related_works":["https://openalex.org/W2534066750","https://openalex.org/W2551177135","https://openalex.org/W2607221748","https://openalex.org/W4317418868","https://openalex.org/W2074017997","https://openalex.org/W2612405521","https://openalex.org/W2151430090","https://openalex.org/W2803794770","https://openalex.org/W4313161991","https://openalex.org/W2151673354"],"abstract_inverted_index":{"In":[0],"a":[1,51,72,96,117,193,201],"complex":[2],"indoor":[3,23,76,146,227],"environment,":[4],"wireless":[5,100,135],"signals":[6],"are":[7,50],"affected":[8],"by":[9,156,182,199],"multiple":[10],"factors":[11],"such":[12],"as":[13],"reflection,":[14],"scattering":[15],"or":[16],"diffuse":[17],"reflection":[18],"of":[19,94,99,129,144,167,188,218,235],"electromagnetic":[20],"waves":[21],"from":[22],"walls":[24],"and":[25,28,39,46,56,103,121,133,247],"other":[26,248],"objects,":[27],"the":[29,36,40,43,47,57,81,92,112,123,127,130,134,145,152,164,168,172,178,186,189,207,213,219,233,236],"signal":[30,37,66,101,136],"strength":[31,38,67,102],"will":[32],"fluctuate":[33],"significantly.":[34],"For":[35],"distance":[41],"between":[42,126],"unknown":[44,58,104,131,169,190,210],"nodes":[45,49,59,211],"known":[48],"typical":[52],"nonlinear":[53],"estimation":[54],"problem,":[55],"cannot":[60,215],"receive":[61,216],"all":[62,217],"Access":[63],"Points":[64],"(APs)":[65],"data,":[68,221],"this":[69],"paper":[70],"proposes":[71],"Particle":[73],"Filter":[74],"(PF)":[75],"position":[77,187],"algorithm":[78,159],"based":[79],"on":[80,91],"Kernel":[82],"Extreme":[83],"Learning":[84],"Machine":[85],"(KELM)":[86],"reconstruction":[87],"observation":[88,142],"model.":[89],"Firstly,":[90],"basis":[93],"establishing":[95],"fingerprint":[97,113],"database":[98],"node":[105,132],"position,":[106],"we":[107],"use":[108],"KELM":[109,183],"to":[110,151,162,184,204],"convert":[111],"location":[114,128],"problem":[115,120],"into":[116],"machine":[118],"learning":[119],"establish":[122],"mapping":[124],"relationship":[125],"strength,":[137],"thereby":[138],"refocusing":[139],"construct":[140],"an":[141],"model":[143],"positioning":[147,228,249],"system.":[148],"Secondly,":[149],"according":[150],"measured":[153,179],"values":[154],"obtained":[155,181],"KELM,":[157],"PF":[158],"is":[160,175,197,238],"adopted":[161],"obtain":[163],"predicted":[165,173],"value":[166,174,180],"nodes.":[170,191],"Thirdly,":[171],"fused":[176],"with":[177,206,242],"locate":[185],"Moreover,":[192],"novel":[194],"control":[195],"strategy":[196],"proposed":[198],"introducing":[200],"reception":[202],"factor":[203],"deal":[205],"situation":[208],"that":[209,232],"in":[212],"system":[214],"AP":[220],"i.e.,":[222],"data":[223],"loss":[224],"occurs.":[225],"This":[226],"experimental":[229],"results":[230],"show":[231],"accuracy":[234],"method":[237],"significantly":[239],"improved":[240],"contrasted":[241],"commonly":[243],"used":[244],"PF,":[245],"GP-PF":[246],"algorithms.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
