Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jaemyung Cha"'
Publikováno v:
IEEE Access, Vol 8, Pp 186274-186278 (2020)
Data imbalance problem between normal and lesion endoscopy images makes it difficult to employ deep learning approaches in automatic Ulcer detection and classification. Due to the large variety of normal images in their appearance, characterizing ulc
Externí odkaz:
https://doaj.org/article/325264c1cb404c2d9d255edfc97b5f1e
Publikováno v:
ISBI
Deep convolutional neural network has shown dramatically improved performance not just in computer vision problems but also in various medical imaging tasks. For improved and meaningful result with deep learning approaches, the quality of training da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6e8e1c443c7d763e4ba185ee14e7910
https://doi.org/10.1109/isbi.2019.8759101
https://doi.org/10.1109/isbi.2019.8759101
Autor:
Ju-Sik Kim, Gabin Yoon, Sewon Kim, Shoichi Sugata, Nobuyoshi Yashiro, Shinya Suzuki, Myung-Jin Lee, Ryounghee Kim, Michael Badding, Zhen Song, JaeMyung Chang, Dongmin Im
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Lithium metal batteries (LMBs) with inorganic solid-state electrolytes suffer from lithium dendrites propagation. Here, the authors demonstrate the production of stable lab-scale LMBs using an Ag-coated Li6.4La3Zr1.7Ta0.3O12 inorganic solid electroly
Externí odkaz:
https://doaj.org/article/ba6a56830617458c8e9b5f3bb674ffce
Autor:
Sewon Kim, Ju-Sik Kim, Lincoln Miara, Yan Wang, Sung-Kyun Jung, Seong Yong Park, Zhen Song, Hyungsub Kim, Michael Badding, JaeMyung Chang, Victor Roev, Gabin Yoon, Ryounghee Kim, Jung-Hwa Kim, Kyungho Yoon, Dongmin Im, Kisuk Kang
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Lithium-metal batteries (LMBs) have attracted intense interest but the instability issues limit its practical deployment. Here, the authors report a durable LMB with high energy density using a garnet-type solid electrolyte with a tailored Li-metal c
Externí odkaz:
https://doaj.org/article/c7eec338a93149b9aa7fae262b2a8514