{"id":"https://openalex.org/W4392473263","doi":"https://doi.org/10.1186/s13677-024-00611-1","title":"Low-cost and high-performance abnormal trajectory detection based on the GRU model with deep spatiotemporal sequence analysis in cloud computing","display_name":"Low-cost and high-performance abnormal trajectory detection based on the GRU model with deep spatiotemporal sequence analysis in cloud computing","publication_year":2024,"publication_date":"2024-03-05","ids":{"openalex":"https://openalex.org/W4392473263","doi":"https://doi.org/10.1186/s13677-024-00611-1"},"language":"en","primary_location":{"id":"doi:10.1186/s13677-024-00611-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-024-00611-1","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-024-00611-1","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-024-00611-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038557883","display_name":"Guohao Tang","orcid":"https://orcid.org/0000-0002-9231-0916"},"institutions":[{"id":"https://openalex.org/I102208913","display_name":"Shihezi University","ror":"https://ror.org/04x0kvm78","country_code":"CN","type":"education","lineage":["https://openalex.org/I102208913"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guohao Tang","raw_affiliation_strings":["Department of Software Engineering, Shihezi University, Shihezi, 832000, China"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Shihezi University, Shihezi, 832000, China","institution_ids":["https://openalex.org/I102208913"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100511659","display_name":"Huaying Zhao","orcid":"https://orcid.org/0009-0008-0330-5906"},"institutions":[{"id":"https://openalex.org/I102208913","display_name":"Shihezi University","ror":"https://ror.org/04x0kvm78","country_code":"CN","type":"education","lineage":["https://openalex.org/I102208913"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaying Zhao","raw_affiliation_strings":["Department of Tourism and Geography, Shihezi University, Shihezi, 832000, China"],"affiliations":[{"raw_affiliation_string":"Department of Tourism and Geography, Shihezi University, Shihezi, 832000, China","institution_ids":["https://openalex.org/I102208913"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103278622","display_name":"Baohua Yu","orcid":"https://orcid.org/0000-0003-0727-3485"},"institutions":[{"id":"https://openalex.org/I102208913","display_name":"Shihezi University","ror":"https://ror.org/04x0kvm78","country_code":"CN","type":"education","lineage":["https://openalex.org/I102208913"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baohua Yu","raw_affiliation_strings":["Department of Software Engineering, Shihezi University, Shihezi, 832000, China"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Shihezi University, Shihezi, 832000, China","institution_ids":["https://openalex.org/I102208913"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038557883"],"corresponding_institution_ids":["https://openalex.org/I102208913"],"apc_list":{"value":990,"currency":"GBP","value_usd":1214},"apc_paid":{"value":990,"currency":"GBP","value_usd":1214},"fwci":2.7254,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90871006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9990000128746033,"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/T11106","display_name":"Data Management and Algorithms","score":0.9934999942779541,"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/cloud-computing","display_name":"Cloud computing","score":0.8655807971954346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7653430700302124},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7253986597061157},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6138622164726257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4225027859210968},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3388388156890869},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09240022301673889},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.04931667447090149}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8655807971954346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653430700302124},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7253986597061157},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6138622164726257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4225027859210968},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3388388156890869},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09240022301673889},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.04931667447090149},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13677-024-00611-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-024-00611-1","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-024-00611-1","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0f17759e9f9141d4964e3dda477d126c","is_oa":true,"landing_page_url":"https://doaj.org/article/0f17759e9f9141d4964e3dda477d126c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-17 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13677-024-00611-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-024-00611-1","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-024-00611-1","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G3922631164","display_name":null,"funder_award_id":"2020DB005","funder_id":"https://openalex.org/F4320326153","funder_display_name":"Xinjiang Production and Construction Corps"}],"funders":[{"id":"https://openalex.org/F4320326153","display_name":"Xinjiang Production and Construction Corps","ror":"https://ror.org/03hcmxw73"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392473263.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W306989095","https://openalex.org/W1972412716","https://openalex.org/W2293117569","https://openalex.org/W2322990480","https://openalex.org/W2744556021","https://openalex.org/W2775332123","https://openalex.org/W2886086764","https://openalex.org/W3001750130","https://openalex.org/W3032327046","https://openalex.org/W3092268134","https://openalex.org/W3135534129","https://openalex.org/W3198336800","https://openalex.org/W3201689744","https://openalex.org/W4229333522","https://openalex.org/W4280608051","https://openalex.org/W4283276570","https://openalex.org/W4285064947","https://openalex.org/W4285821412","https://openalex.org/W4289535432","https://openalex.org/W4306406070","https://openalex.org/W4308796846","https://openalex.org/W4311724004","https://openalex.org/W4312323945","https://openalex.org/W4318483216","https://openalex.org/W4319456291","https://openalex.org/W4366491531"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"Abstract":[0],"Trajectory":[1],"anomalies":[2],"serve":[3],"as":[4],"early":[5],"indicators":[6],"of":[7,31,55,117,180,187,236,242,285],"potential":[8],"issues":[9],"and":[10,43,84,102,115,120,133,144,177,190,204,218,228,238,269],"frequently":[11],"provide":[12],"valuable":[13],"insights":[14],"into":[15],"event":[16],"occurrence.":[17],"Existing":[18],"methods":[19,62,80],"for":[20,282],"detecting":[21],"abnormal":[22,153],"trajectories":[23],"primarily":[24],"focus":[25],"on":[26,158,252],"comparing":[27],"the":[28,32,39,46,52,56,73,124,149,159,173,185,192,200,234,243,253,260,283],"spatial":[29,85,121],"characteristics":[30],"trajectories.":[33],"However,":[34,123],"they":[35],"fail":[36],"to":[37,70,138],"capture":[38,140],"temporal":[40,83,119],"dimension\u2019s":[41],"pattern":[42],"evolution":[44,76,226],"within":[45],"trajectory":[47,154,256,287],"data,":[48],"thereby":[49],"inadequately":[50],"identifying":[51],"behavioral":[53,230],"inertia":[54,231],"target":[57,229],"group.":[58],"A":[59],"few":[60],"detection":[61,79,155,175],"that":[63,81,99,259],"incorporate":[64],"spatiotemporal":[65,74,214],"features":[66,189,237],"have":[67],"also":[68],"failed":[69],"adequately":[71,139],"analyze":[72],"sequence":[75,109,142],"information;":[77],"consequently,":[78],"ignore":[82],"correlations":[86],"are":[87],"too":[88],"one-sided.":[89],"Recurrent":[90],"neural":[91],"networks":[92],"(RNNs),":[93],"especially":[94],"gate":[95,104],"recurrent":[96],"unit":[97],"(GRU)":[98],"design":[100],"reset":[101,217],"update":[103,219],"control":[105,184],"units,":[106,221],"process":[107],"nonlinear":[108,239],"processing":[110],"capabilities,":[111],"enabling":[112],"effective":[113],"extraction":[114],"analysis":[116],"both":[118,264],"characteristics.":[122],"basic":[125],"GRU":[126,161],"network":[127,208],"model":[128,162,193,198],"has":[129],"limited":[130],"expressive":[131],"power":[132],"may":[134],"not":[135],"be":[136],"able":[137],"complex":[141],"patterns":[143],"semantic":[145],"information.":[146],"To":[147,171],"address":[148],"above":[150],"issues,":[151],"an":[152,196],"method":[156,212],"based":[157,251],"improved":[160,197],"is":[163,209],"proposed":[164,261],"in":[165,168],"cloud":[166],"computing":[167],"this":[169],"paper.":[170],"enhance":[172],"anomaly":[174,286],"ability":[176,266],"training":[178,271],"efficiency":[179],"relevant":[181],"models,":[182],"strictly":[183],"input":[186],"irrelevant":[188],"improve":[191],"fitting":[194],"effect,":[195],"combining":[199],"random":[201],"forest":[202],"algorithm":[203],"fully":[205,244],"connected":[206,245],"layer":[207,246],"designed.":[210],"The":[211,248],"deconstructs":[213],"semantics":[215],"through":[216],"gated":[220],"while":[222],"effectively":[223],"capturing":[224],"feature":[225],"information":[227],"by":[232,267,273],"leveraging":[233],"integration":[235],"mapping":[240],"capabilities":[241],"network.":[247],"experimental":[249],"results":[250],"GeoLife":[254],"GPS":[255],"dataset":[257],"indicate":[258],"approach":[262],"improves":[263],"generalization":[265],"1%":[268],"reduces":[270],"cost":[272],"31.68%.":[274],"This":[275],"success":[276],"do":[277],"provides":[278],"a":[279],"practical":[280],"solution":[281],"task":[284],"detection.":[288]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
