{"id":"https://openalex.org/W2938313730","doi":"https://doi.org/10.1109/ccis.2018.8691406","title":"An Improved Dro-Based Recurrent Neural Networks for Large-Scale Light Curve Time Series Prediction","display_name":"An Improved Dro-Based Recurrent Neural Networks for Large-Scale Light Curve Time Series Prediction","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2938313730","doi":"https://doi.org/10.1109/ccis.2018.8691406","mag":"2938313730"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2018.8691406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5054796879","display_name":"Cheng Lu","orcid":"https://orcid.org/0000-0002-1477-1020"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Lu","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043565689","display_name":"Peng Lei","orcid":"https://orcid.org/0000-0001-7422-0258"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Peng","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057935426","display_name":"Jing Bi","orcid":"https://orcid.org/0000-0002-4610-0141"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Bi","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070546858","display_name":"Haitao Yuan","orcid":"https://orcid.org/0000-0001-8475-419X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Yuan","raw_affiliation_strings":["School of Software Engineering, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9573000073432922,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9573000073432922,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9200999736785889,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9129999876022339,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.8258271813392639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7485404014587402},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.7197079062461853},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7022078633308411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6222609281539917},{"id":"https://openalex.org/keywords/light-curve","display_name":"Light curve","score":0.6026799082756042},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5066993832588196},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43719029426574707},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4119836688041687},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3961496353149414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3808048367500305},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2450358271598816},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0773743987083435},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06995964050292969}],"concepts":[{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.8258271813392639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7485404014587402},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.7197079062461853},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7022078633308411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6222609281539917},{"id":"https://openalex.org/C130726490","wikidata":"https://www.wikidata.org/wiki/Q675076","display_name":"Light curve","level":2,"score":0.6026799082756042},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5066993832588196},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43719029426574707},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4119836688041687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3961496353149414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3808048367500305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2450358271598816},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0773743987083435},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06995964050292969},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2018.8691406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1577395830","https://openalex.org/W2016210396","https://openalex.org/W2016287239","https://openalex.org/W2064675550","https://openalex.org/W2089814141","https://openalex.org/W2095705004","https://openalex.org/W2144499799","https://openalex.org/W2146651617","https://openalex.org/W2509641632","https://openalex.org/W2523264318","https://openalex.org/W2550353313","https://openalex.org/W2587586954","https://openalex.org/W2615291466","https://openalex.org/W2791247133","https://openalex.org/W2963946933","https://openalex.org/W4255321185","https://openalex.org/W6674330103","https://openalex.org/W6891861395"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W1891376985","https://openalex.org/W1619495628","https://openalex.org/W4412335227","https://openalex.org/W2185578297","https://openalex.org/W2782041652","https://openalex.org/W4225394202","https://openalex.org/W185765184","https://openalex.org/W2120901215","https://openalex.org/W2025095552"],"abstract_inverted_index":{"In":[0],"light":[1,37,127],"curves,":[2],"the":[3,17,86,98],"brightness":[4,18,100,123],"of":[5,16,35,60,97,121],"stars":[6],"is":[7,13],"associated":[8],"with":[9,19,105,116],"time,":[10],"and":[11,32,75],"it":[12],"an":[14],"image":[15],"respect":[20],"to":[21,118],"time.":[22],"The":[23],"traditional":[24],"data":[25,34],"processing":[26],"methods":[27,115],"cannot":[28],"effectively":[29],"handle":[30],"real-time":[31],"large-volume":[33],"various":[36],"curves.":[38,128],"To":[39],"address":[40],"this":[41,43,83],"issue,":[42],"work":[44,84],"develops":[45],"a":[46,91],"deep":[47],"neural":[48],"network,":[49],"named":[50],"Dropout":[51],"Recurrent":[52],"Neural":[53],"Networks":[54],"(DRNN).":[55],"It":[56],"extracts":[57],"complicated":[58],"characteristics":[59],"all":[61],"images":[62],"captured":[63],"by":[64,89],"Mini":[65],"Ground-based":[66],"Wide-Angle":[67],"Camera":[68],"array":[69],"(Mini-GWAC)":[70],"for":[71],"point":[72],"source":[73],"extraction":[74],"cross-certification":[76],"through":[77],"Long":[78],"Short-Term":[79],"Memory":[80],"units.":[81],"Furthermore,":[82],"optimizes":[85],"training":[87],"model":[88],"combining":[90],"dropout":[92],"method,":[93],"which":[94],"predicts":[95],"changes":[96],"star":[99,122],"in":[101,124],"advance.":[102],"Extensive":[103],"experiments":[104],"Mini-GWAC":[106],"dataset":[107],"demonstrate":[108],"that":[109],"DRNN":[110],"outperforms":[111],"several":[112],"typical":[113],"baseline":[114],"respective":[117],"forecasting":[119],"performance":[120],"large-scale":[125],"astronomical":[126]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
