{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T10:19:27Z","timestamp":1730283567422,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T00:00:00Z","timestamp":1600646400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T00:00:00Z","timestamp":1600646400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T00:00:00Z","timestamp":1600646400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,21]]},"DOI":"10.1109\/mmsp48831.2020.9287081","type":"proceedings-article","created":{"date-parts":[[2020,12,16]],"date-time":"2020-12-16T23:57:58Z","timestamp":1608163078000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Use of a deep convolutional neural network to diagnose disease in the rose by means of a photographic image"],"prefix":"10.1109","author":[{"given":"O.A.","family":"Miloserdov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N.S.","family":"Ovcharenko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrey V.","family":"Makarenko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"941","DOI":"10.3389\/fpls.2019.00941","article-title":"Convolutional neural networks for the automatic identification of plant diseases","volume":"10","author":"justine","year":"2019","journal-title":"Frontiers in Plant Science"},{"key":"ref11","first-page":"14","article-title":"How Convolutional Neural Networks Diagnose Plant Disease","volume":"2019","author":"yosuke","year":"2019","journal-title":"Plant Phenomics"},{"year":"0","key":"ref12","article-title":"Keras simple model (0.97103 best public score)"},{"key":"ref13","article-title":"Rigid-motion scattering for texture classification","author":"sifre","year":"2014","journal-title":"CoRR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","year":"2017","author":"howard","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"article-title":"Keras","year":"2019","author":"chollet","key":"ref17"},{"article-title":"Deep learning for cardiac image segmentation: A review","year":"2019","author":"chen","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCMC.2019.8819683"},{"year":"0","key":"ref6","article-title":"Plant seedlings classification"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2018.02.016"},{"article-title":"Sequential Analysis","year":"2013","author":"wald","key":"ref8"},{"article-title":"A public image database for benchmark of plant seedling classification algorithms","year":"2017","author":"giselsson","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876865"},{"article-title":"Deep learning","year":"2016","author":"goodfellow","key":"ref1"},{"key":"ref9","article-title":"Plant disease detection and classification by deep learning","volume":"8","author":"saleem","year":"2019","journal-title":"Plant"}],"event":{"name":"2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)","start":{"date-parts":[[2020,9,21]]},"location":"Tampere, Finland","end":{"date-parts":[[2020,9,24]]}},"container-title":["2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9287028\/9287048\/09287081.pdf?arnumber=9287081","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T17:52:49Z","timestamp":1656438769000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9287081\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,21]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/mmsp48831.2020.9287081","relation":{},"subject":[],"published":{"date-parts":[[2020,9,21]]}}}