{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T01:37:45Z","timestamp":1725586665789},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"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":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9378480","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T17:10:21Z","timestamp":1616173821000},"page":"4586-4593","source":"Crossref","is-referenced-by-count":0,"title":["Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks"],"prefix":"10.1109","author":[{"given":"Mohammed Shoebuddin","family":"Habeeb","sequence":"first","affiliation":[]},{"given":"Berkay","family":"Aydin","sequence":"additional","affiliation":[]},{"given":"Azim","family":"Ahmadzadeh","sequence":"additional","affiliation":[]},{"given":"Manolis","family":"Georgoulis","sequence":"additional","affiliation":[]},{"given":"Rafal A.","family":"Angryk","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.514"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1007\/978-3-319-10593-2_25","author":"yang","year":"2014","journal-title":"Computer Vision – ECCV 2014"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2919431"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Lecture Notes in Computer Science"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3847\/2041-8213\/ab365f"},{"key":"ref17","first-page":"2810","article-title":"Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections","author":"mao","year":"2016","journal-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems ser NIPS’16"},{"key":"ref18","article-title":"Single-frame super-resolution of solar magnetograms: Investigating physics-based metrics\\& losses","author":"jungbluth","year":"2019","journal-title":"arXiv preprint arXiv 1911 12945"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3847\/2041-8213\/ab9d79"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.298"},{"key":"ref5","first-page":"1","article-title":"Deep learning for image super-resolution: A survey","author":"wang","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.618"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00179"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.147"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00110"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-0548-x"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3847\/2041-8213\/ab9085"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3673-7_10"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-0167-7_13"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-009-0191-9_5"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2020,12,10]]},"location":"Atlanta, GA, USA","end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09378480.pdf?arnumber=9378480","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T11:45:32Z","timestamp":1656330332000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9378480\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9378480","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}