{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:24:57Z","timestamp":1775143497924,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62032025"],"award-info":[{"award-number":["62032025"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076125"],"award-info":[{"award-number":["62076125"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2050"],"award-info":[{"award-number":["U20B2050"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Science Foundation for Post-doctoral Scientists of China","award":["2019M651826"],"award-info":[{"award-number":["2019M651826"]}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20180421"],"award-info":[{"award-number":["BK20180421"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Parallel Distrib. Syst."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tpds.2020.3046018","type":"journal-article","created":{"date-parts":[[2020,12,21]],"date-time":"2020-12-21T21:46:09Z","timestamp":1608587169000},"page":"1-1","source":"Crossref","is-referenced-by-count":22,"title":["A Hybrid Fuzzy Convolutional Neural Network Based Mechanism for Photovoltaic Cell Defect Detection with Electroluminescence Images"],"prefix":"10.1109","author":[{"given":"Chunpeng","family":"Ge","sequence":"first","affiliation":[]},{"given":"Zhe","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Liming","family":"Fang","sequence":"additional","affiliation":[]},{"given":"Huangding","family":"Ling","sequence":"additional","affiliation":[]},{"given":"Aiping","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Changchun","family":"Yin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"1223","article-title":"More effective distributed ML via a stale synchronous parallel parameter server","author":"ho","year":"2013","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref38","article-title":"Experiments on parallel training of deep neural network using model averaging","author":"su","year":"2015"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/S1474-6670(17)62005-6","article-title":"Derivation of fuzzy control rules from human operator&#x2019;s control actions","volume":"16","author":"takagi","year":"1983","journal-title":"IFAC Proc Volumes"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s40815-019-00764-1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3320060"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0028"},{"key":"ref35","first-page":"1223","article-title":"Large scale distributed deep networks","author":"dean","year":"2012","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref34","article-title":"On the convergence of adam and beyond","author":"reddi","year":"2019"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2016.2574915"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2014.6889448"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.06.021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/PES.2011.6038915"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2010.11.032"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2020.03.049"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/2.53"},{"key":"ref21","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/21.256541"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/21.52551"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.10.011"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/12.106218"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123436"},{"key":"ref51","article-title":"A survey of model compression and acceleration for deep neural networks","author":"cheng","year":"2017"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1700789"},{"key":"ref10","article-title":"Review on infrared and electroluminescence imaging for PV field applications: International Energy Agency Photovoltaic Power Systems Programme","author":"jahn","year":"2018"},{"key":"ref11","article-title":"Fatigue degradation and electric recovery in silicon solar cells embedded in photovoltaic modules","volume":"4","author":"paggi","year":"2014","journal-title":"Reports Science"},{"key":"ref40","article-title":"Staleness-aware async-SGD for distributed deep learning","author":"zhang","year":"2015"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2012.2209663"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JPHOTOV.2018.2848722"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.solmat.2011.12.007"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/1687-5281-2014-15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/879675"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2828811"},{"key":"ref18","article-title":"Automatic classification of defective photovoltaic module cells in electroluminescence images","author":"deitsch","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.116319"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2841049"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2014.2300753"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2018.01.007"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2937905"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRERA.2016.7884539"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1155\/2010\/805325"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref9","first-page":"333","article-title":"Defect analysis in different photovoltaic modules using electroluminescence (EL) and infrared (IR)-thermography","author":"ebner","year":"2010","journal-title":"Proc 25th Eur Photovoltaic Solar Energy Conf Exhibit"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-49430-8_3"},{"key":"ref45","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref48","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref47","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"hinton","year":"0","journal-title":"arXiv 1207 0580"},{"key":"ref42","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2019.2935967"},{"key":"ref44","article-title":"Keras","author":"chollet","year":"2015"},{"key":"ref43","article-title":"A benchmark for visual identification of defective solar cells in electroluminescence imagery","author":"buerhop-lutz","year":"2018","journal-title":"Proc 35th Eur PV Solar Energy Conf Exhibit"}],"container-title":["IEEE Transactions on Parallel and Distributed Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/71\/4359390\/09301240.pdf?arnumber=9301240","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:31Z","timestamp":1652194231000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9301240\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/tpds.2020.3046018","relation":{},"ISSN":["1045-9219","1558-2183","2161-9883"],"issn-type":[{"value":"1045-9219","type":"print"},{"value":"1558-2183","type":"electronic"},{"value":"2161-9883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}