Zobrazeno 1 - 10
of 123 266
pro vyhledávání: '"Amira, A"'
Autor:
Samira Ahmed
Amira and Hamza are back in this epic sequel, which takes readers on a thrilling magical adventure as the siblings face their most terrifying and formidable opponent yet.All human and jinn kind shall bow down to me. Control the Ring, control the worl
Autor:
Samira Ahmed
From bestselling author Samira Ahmed comes a thrilling fantasy adventure intertwining Islamic legend and history, perfect for fans of Aru Shah and the Land of Stories. On the day of a rare super blue blood moon eclipse, twelve-year-old Amira and
Publikováno v:
Catalyst: A Journal of Theory & Strategy. Winter2024, Vol. 7 Issue 4, p58-73. 16p.
Akademický článek
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Autor:
Tanaka, Riki1 (AUTHOR), Liew, Boon2 (AUTHOR), Yamada, Yasuhiro1 (AUTHOR), Okubo, Mai3 (AUTHOR), Katayama, Tomoka3 (AUTHOR), Sasaki, Kento1 (AUTHOR), Miyatani, Kyosuke1 (AUTHOR), Komatsu, Fuminari1 (AUTHOR), Kato, Yoko1 (AUTHOR), Hirose, Yuichi4 (AUTHOR), Liew, Boon Seng5 (AUTHOR)
Publikováno v:
Neurology India. May/Jun2022, Vol. 70 Issue 3, p943-947. 5p.
Publikováno v:
STAR Protocols, Vol 4, Iss 4, Pp 102558- (2023)
Summary: DeepContact is a deep learning software for high-throughput quantification of membrane contact site (MCS) in 2D electron microscopy images. This protocol will guide users through incorporating available DeepContact models in Amira’s artifi
Externí odkaz:
https://doaj.org/article/9cb96ddb4bdc4985846275dc518ed4e0
Autor:
Pašalić, Enes
Publikováno v:
DHS-Društvene i humanističke studije: časopis Filozofskog fakulteta u Tuzli / DHS-Social Sciences and Humanities: Journal of the Faculty of Humanities and Social Sciences. XXII(22):197-210
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1117910
Autor:
IŞIKTAŞ, Erkan1 erkanisiktas@siirt.edu.tr, TUNÇ, Muhammet Nuri1
Publikováno v:
Pamukkale University Journal of Social Sciences Institute / Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. Sep2022, Issue 52, p197-211. 15p.
Autor:
Horvath, Antal, Tsagkas, Charidimos, Andermatt, Simon, Pezold, Simon, Parmar, Katrin, Cattin, Philippe
The small butterfly shaped structure of spinal cord (SC) gray matter (GM) is challenging to image and to delinate from its surrounding white matter (WM). Segmenting GM is up to a point a trade-off between accuracy and precision. We propose a new pipe
Externí odkaz:
http://arxiv.org/abs/1808.02408
Akademický článek
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