{"id":"https://openalex.org/W2991403893","doi":"https://doi.org/10.1109/itsc.2019.8917098","title":"MMSE-based Optimized Transfer Strategy for Transfer Prediction of Parking Data","display_name":"MMSE-based Optimized Transfer Strategy for Transfer Prediction of Parking Data","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2991403893","doi":"https://doi.org/10.1109/itsc.2019.8917098","mag":"2991403893"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","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":"https://openalex.org/A5044175096","display_name":"Haoyan Chen","orcid":"https://orcid.org/0000-0001-6722-8534"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoyan Chen","raw_affiliation_strings":["School of Software Engineering, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102734683","display_name":"Guangxi Chen","orcid":"https://orcid.org/0000-0002-6235-0503"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangxi Chen","raw_affiliation_strings":["School of Software Engineering, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001843690","display_name":"Qinghao Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghao Lu","raw_affiliation_strings":["School of Software Engineering, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034059546","display_name":"Lei Peng","orcid":"https://orcid.org/0000-0002-0124-140X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Peng","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044175096"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.634,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7213194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2014","issue":null,"first_page":"407","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/transfer-of-learning","display_name":"Transfer of learning","score":0.8120455741882324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8036404848098755},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.6950227618217468},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.588755190372467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5412532687187195},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.5090174674987793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5012526512145996},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4947819113731384},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.476962685585022},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0823943018913269}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8120455741882324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036404848098755},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.6950227618217468},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.588755190372467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5412532687187195},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.5090174674987793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5012526512145996},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4947819113731384},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.476962685585022},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0823943018913269},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2019.8917098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2122838776","https://openalex.org/W2149933564","https://openalex.org/W2165698076","https://openalex.org/W2417736714","https://openalex.org/W2963582782","https://openalex.org/W2964308564","https://openalex.org/W4299518610"],"related_works":["https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2144385241","https://openalex.org/W4300101996","https://openalex.org/W2165950148","https://openalex.org/W4253593777","https://openalex.org/W2951497643","https://openalex.org/W4403053866","https://openalex.org/W2142393343","https://openalex.org/W2338854850"],"abstract_inverted_index":{"To":[0],"predict":[1],"the":[2,53,60,68,83,151,158,182,194,203,213,221,226,234],"spaces":[3],"available":[4],"of":[5,18,31],"parking":[6,19,46,57],"lots":[7,58],"in":[8,16,98],"a":[9,13,164],"short":[10],"term":[11],"is":[12,24,114,137,196,212],"key":[14],"technique":[15],"development":[17],"guidance":[20,47],"systems.":[21],"Time-series":[22],"prediction":[23,70],"usually":[25],"used":[26],"to":[27,64,66,81,91,94,111,123,133,142,149,179],"resolve":[28],"this":[29,145],"kind":[30],"problems,":[32],"and":[33,119,140,188,209,219],"work":[34],"well":[35],"after":[36],"being":[37],"trained":[38],"with":[39,126],"sufficient":[40],"data.":[41],"But":[42],"as":[43,102,104,128],"for":[44,72,157,167],"city-wide":[45],"system":[48],"(CPGS),":[49],"we":[50,77,105,120,147,162,216],"cannot":[51],"acquire":[52],"data":[54],"from":[55],"every":[56],"at":[59,225],"beginning,":[61],"which":[62],"lead":[63],"failure":[65],"train":[67],"specialized":[69],"model":[71],"them":[73],"all":[74],"individually.":[75],"So,":[76],"introduce":[78],"transfer":[79,96,134,155,168,174,206,222],"learning":[80,97,156,223],"achieve":[82],"expected":[84],"effect.":[85],"There":[86],"are":[87],"so":[88],"many":[89,99],"papers":[90],"discuss":[92],"how":[93,132],"use":[95],"specified":[100],"tasks,":[101],"far":[103],"know.":[106],"So":[107],"just":[108],"applying":[109],"it":[110,201],"another":[112],"case":[113],"not":[115],"innovative":[116],"very":[117,197],"much":[118],"don't":[121],"want":[122],"be":[124],"satisfied":[125],"that":[127],"well.":[129],"In":[130,144],"fact,":[131],"more":[135,186],"effectively":[136,187],"novel":[138],"topic":[139],"challenge":[141],"researchers.":[143],"paper,":[146],"try":[148],"explain":[150],"mathematic":[152],"meanings":[153],"behind":[154],"first":[159,214],"time.":[160],"Then":[161],"build":[163,181,218],"LSTM-based":[165],"network":[166,185],"prediction,":[169],"meanwhile":[170],"propose":[171],"an":[172],"optimized":[173,205],"strategy,":[175],"based":[176],"on":[177],"MMSE,":[178],"help":[180],"target":[183],"neural":[184],"accurately.":[189],"The":[190],"following":[191],"experiments":[192],"show":[193],"strategy":[195],"effective,":[198],"although":[199],"simple,":[200],"finds":[202],"most":[204],"solution":[207,224],"actively":[208],"directly.":[210],"It":[211],"time":[215],"can":[217],"evaluate":[220],"design":[227],"stage,":[228],"rather":[229],"than":[230],"waiting":[231],"passively":[232],"till":[233],"moment":[235],"when":[236],"end":[237],"results":[238],"come":[239],"out.":[240]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
