{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T13:53:21Z","timestamp":1764251601491,"version":"3.37.3"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2935691","type":"journal-article","created":{"date-parts":[[2019,8,15]],"date-time":"2019-08-15T15:45:01Z","timestamp":1565883901000},"page":"114700-114713","source":"Crossref","is-referenced-by-count":7,"title":["A Resource Aware Parallelized Back Propagation Neural Network in Enabling Efficient Large-Scale Digital Health Data Processing"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7935-7146","authenticated-orcid":false,"given":"Yang","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianbang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixiong","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaqiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maozhen","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2917140"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2775662"},{"key":"ref31","first-page":"359","article-title":"k-NN based fault detection and classification methods for power transmission systems","volume":"2","author":"majd","year":"2017","journal-title":"Power System Control and Protection"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1186\/s41601-018-0106-0"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2856205"},{"journal-title":"Apache Hadoop","year":"2019","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2010.5584323"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/297672"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/32.121756"},{"key":"ref15","first-page":"1","article-title":"Improving MapReduce performance through data placement in heterogeneous Hadoop clusters","author":"xie","year":"2010","journal-title":"IPDPS Proc"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2007.1009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.3763"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/2842780"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-45049-9_43"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.camwa.2013.07.015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IFOST.2012.6357623"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/FSKD.2011.6020073"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/artl.2009.15.2.15202"},{"key":"ref6","first-page":"1380","article-title":"Information geometry on extendable hierarchical large scale neural network model","volume":"3","author":"liu","year":"2003","journal-title":"Proc ICMLC"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10766-016-0401-1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CINC.2009.111"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2014.6889742"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2013.6691598"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2017.2688458"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2514\/1.31026"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2014.0011"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/FSKD.2011.6020071"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-0123-9_54"},{"key":"ref21","article-title":"Optimizing Hadoop parameter settings with gene expression programming guided PSO","volume":"29","author":"khan","year":"2016","journal-title":"Concurrency Comput Pract Exper"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2003.1198238"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICIME.2009.59"},{"journal-title":"Iris Dataset","year":"2019","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2007.152"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08801835.pdf?arnumber=8801835","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:31:54Z","timestamp":1641987114000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8801835\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2935691","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}