Zobrazeno 1 - 10
of 50 472
pro vyhledávání: '"A. Tamim"'
Autor:
أسامة أبوعون1 osamamansoor2019@gmail.com
Publikováno v:
An-Najah University Journal for Research, B: Humanities. Nov2024, Vol. 38 Issue 11, p2057-2086. 30p.
Akademický článek
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Autor:
Nurrachma, Farhana Najmi1 farhananajminurrachma@gmail.com, Krisnandi, Herry1 herrykrisnandi@gmail.com, Hardini, Resti1 kumba.digdo@civitas.unas.ac.id, Karim, Junaidah Abd
Publikováno v:
International Journal of Social Service & Research (IJSSR). Feb2024, Vol. 4 Issue 2, p437-444. 8p.
Autor:
Yehoshua Frenkel
The present book investigates three short late Mamluk treatises about land properties (waqf) in the Palestinian city of Hebron, which the prophet Muhammad granted to Tamīm al-Darī. The treatise entitled Ḍawʾ al-sārī li-maʿrifat ḫabar Tamīm
Publikováno v:
Pendipa, Vol 7, Iss 3, Pp 439-444 (2024)
Landasan penelitian yaitu Miskonsepsi sangat berpengaruh terhadap hasil belajar siswa karena dapat memahami dan mengartikan suatu konsep dengan salah, Siswa yang telah memahami konsep dapat terukur dari hasil belajar yang baik. Hasil belajar yang ren
Externí odkaz:
https://doaj.org/article/046921a8bf2c42f0a07f0df85faf5dba
Autor:
Mamon Mobarakeh, Loay AbuAlsaud
Publikováno v:
مجلة الآداب, Vol 1, Iss 144 (2023)
This research attempts to reveal the extent of the appearance of heritage and its invocation in the poetry of Tamim al-Barghouti, whether this presence is historical, civil, national or religious, through some of his famous poem (In Jerusalem). In th
Externí odkaz:
https://doaj.org/article/9e46d64394a7432987e43b70221c0823
Autor:
ابتسام ملنور زري1 Ibtissamzarik90@gmail.com
Publikováno v:
Journal of Al-Quds Open University for Humanities & Social Research. Jun2022, Vol. 4 Issue 60, p1-18. 18p.
Autor:
Cook, David
Publikováno v:
Bulletin of the School of Oriental and African Studies, University of London, 1998 Jan 01. 61(1), 20-28.
Externí odkaz:
https://www.jstor.org/stable/3107289
In this paper, we present an approach for learning collision-free robot trajectories in the presence of moving obstacles. As a first step, we train a backup policy to generate evasive movements from arbitrary initial robot states using model-free rei
Externí odkaz:
http://arxiv.org/abs/2411.05784
Gaussian Process Latent Variable Models (GPLVMs) have proven effective in capturing complex, high-dimensional data through lower-dimensional representations. Recent advances show that using Riemannian manifolds as latent spaces provides more flexibil
Externí odkaz:
http://arxiv.org/abs/2410.20850