{"id":"https://openalex.org/W2982044068","doi":"https://doi.org/10.1145/3358528.3358559","title":"Probabilistic Neural Network for Reasons of the Low Quality LTE Networks Classification","display_name":"Probabilistic Neural Network for Reasons of the Low Quality LTE Networks Classification","publication_year":2019,"publication_date":"2019-08-28","ids":{"openalex":"https://openalex.org/W2982044068","doi":"https://doi.org/10.1145/3358528.3358559","mag":"2982044068"},"language":"en","primary_location":{"id":"doi:10.1145/3358528.3358559","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3358528.3358559","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 Big Data Technologies","raw_type":"proceedings-article"},"type":"conference-paper","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":"https://openalex.org/A5013979380","display_name":"Xi Wang","orcid":"https://orcid.org/0000-0002-2238-0927"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Wang","raw_affiliation_strings":["Wireless Network Optimization Center, China Mobile Communications Group Fujian Co., Ltd., Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Network Optimization Center, China Mobile Communications Group Fujian Co., Ltd., Fujian, China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5013979380"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1259196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"268","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9805999994277954,"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/T10057","display_name":"Face and Expression Recognition","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.8232694268226624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7710205316543579},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7294403314590454},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.6623615026473999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6400983929634094},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5654072165489197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5612730383872986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47636744379997253},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4123803973197937},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.25965750217437744}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8232694268226624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710205316543579},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7294403314590454},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.6623615026473999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6400983929634094},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5654072165489197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5612730383872986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47636744379997253},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4123803973197937},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.25965750217437744},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3358528.3358559","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3358528.3358559","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 Big Data Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2283060","https://openalex.org/W1964168965","https://openalex.org/W1976111934","https://openalex.org/W1985097283","https://openalex.org/W2014892432","https://openalex.org/W2049419773","https://openalex.org/W2063553556","https://openalex.org/W2078619499","https://openalex.org/W2080919789","https://openalex.org/W2083151982","https://openalex.org/W2103316308","https://openalex.org/W2119929398","https://openalex.org/W2146200922","https://openalex.org/W2148528086","https://openalex.org/W2161372002","https://openalex.org/W2166486067","https://openalex.org/W2278165553","https://openalex.org/W3142205453"],"related_works":["https://openalex.org/W2354938404","https://openalex.org/W2149846955","https://openalex.org/W1991381172","https://openalex.org/W2357447513","https://openalex.org/W127966330","https://openalex.org/W2369662652","https://openalex.org/W2378845890","https://openalex.org/W2386273025","https://openalex.org/W2988849960","https://openalex.org/W3213683101"],"abstract_inverted_index":{"Normally,":[0],"network":[1,42,91],"optimization":[2],"engineers":[3],"classify":[4,33,96],"the":[5,34,77,80,97,109],"causes":[6,35,51,78,98],"of":[7,25,36,40,50,61,79,99,111],"low":[8,41,81,100],"quality":[9,43,82,101],"cells":[10],"according":[11],"to":[12,55,65],"their":[13],"own":[14],"experience.":[15],"However,":[16],"artificial":[17],"classification":[18],"method":[19],"is":[20,28,64],"impractical":[21],"for":[22,75,108],"large":[23,38],"amounts":[24],"data":[26,106],"and":[27,45,94],"also":[29],"non-reproducible.":[30],"Engineers":[31],"cannot":[32],"a":[37],"number":[39],"cells,":[44],"there":[46],"are":[47],"47":[48],"classes":[49],"which":[52],"can":[53,92],"lead":[54],"serious":[56],"inaccuracies":[57],"classification.":[58],"The":[59,85],"aim":[60],"this":[62],"work":[63],"develop":[66],"an":[67],"automated":[68],"approach":[69],"based":[70],"on":[71],"Probabilistic":[72],"Neural":[73],"Network":[74],"classifying":[76],"LTE":[83,112],"networks.":[84],"results":[86],"show":[87],"that":[88],"probabilistic":[89],"neural":[90],"quickly":[93],"accurately":[95],"cells.":[102],"It":[103],"provides":[104],"effective":[105],"support":[107],"improvement":[110],"networks":[113],"quality.":[114]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}