Zobrazeno 1 - 10
of 2 181
pro vyhledávání: '"A. Beitollahi"'
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 129-136 (2023)
Land subsidence (LS) is one of the most challenging natural disasters that has potential consequences such as damage to infrastructures and buildings, creating sinkholes, and leading to soil destruction. To mitigate the damages caused by LS, it is ne
Externí odkaz:
https://doaj.org/article/93b9ec6adb6e4732a03a93215b91a1bb
Publikováno v:
Iranian Journal of Materials Science and Engineering, Vol 16, Iss 3, Pp 1-11 (2019)
In the present research, rapidly solidified Fe85.3B11P3Cu0.7 ribbons were prepared by melt spinning process. The microstructural variation as well as magnetic properties of the as-spun and annealed ribbons were characterized by X-ray diffraction (XRD
Externí odkaz:
https://doaj.org/article/e38628a3c22d4ed8a8c5e5767bfc31e2
Parameter-efficient fine-tuning stands as the standard for efficiently fine-tuning large language and vision models on downstream tasks. Specifically, the efficiency of low-rank adaptation has facilitated the creation and sharing of hundreds of custo
Externí odkaz:
http://arxiv.org/abs/2402.15414
Autor:
Khalil, Yasser H., Estiri, Amir H., Beitollahi, Mahdi, Asadi, Nader, Hemati, Sobhan, Li, Xu, Zhang, Guojun, Chen, Xi
In the realm of real-world devices, centralized servers in Federated Learning (FL) present challenges including communication bottlenecks and susceptibility to a single point of failure. Additionally, contemporary devices inherently exhibit model and
Externí odkaz:
http://arxiv.org/abs/2402.01863
Autor:
Beitollahi, Mahdi, Bie, Alex, Hemati, Sobhan, Brunswic, Leo Maxime, Li, Xu, Chen, Xi, Zhang, Guojun
In one-shot federated learning (FL), clients collaboratively train a global model in a single round of communication. Existing approaches for one-shot FL enhance communication efficiency at the expense of diminished accuracy. This paper introduces Fe
Externí odkaz:
http://arxiv.org/abs/2402.01862
Autor:
Hemati, Sobhan, Beitollahi, Mahdi, Estiri, Amir Hossein, Omari, Bassel Al, Chen, Xi, Zhang, Guojun
Despite the huge effort in developing novel regularizers for Domain Generalization (DG), adding simple data augmentation to the vanilla ERM which is a practical implementation of the Vicinal Risk Minimization principle (VRM) \citep{chapelle2000vicina
Externí odkaz:
http://arxiv.org/abs/2312.05387
Layer normalization (LN) is a widely adopted deep learning technique especially in the era of foundation models. Recently, LN has been shown to be surprisingly effective in federated learning (FL) with non-i.i.d. data. However, exactly why and how it
Externí odkaz:
http://arxiv.org/abs/2308.09565
PREPARATION OF Fe/GLASS COMPOSITE BY REDUCTION OF Na2O– Fe2O3–B2O3–SiO2–ZnO GLASS AND GLASS CERAMICS
Publikováno v:
Iranian Journal of Materials Science and Engineering, Vol 12, Iss 3, Pp 38-47 (2015)
In the present study, the feasibility of α-Fe ferromagnetic phase formation in glass and glass-ceramic by reduction in hydrogen atmosphere have been investigated. The glass with the composition of 35Na 2 O–24Fe2O3–20B 2O3 – 20SiO 2 –1ZnO (mo
Externí odkaz:
https://doaj.org/article/74104adf7b4a4d938bb1d1f6abcf0ac6
Publikováno v:
Journal of Advanced Materials in Engineering, Vol 34, Iss 2, Pp 61-69 (2015)
In this investigation, the effect of heat treatment on magnetic properties of glass and nano-structured cobalt-ferrite glass-ceramic was studied. The glass was synthesized in the system of Na2O-Fe2O3-CoO-B2O3-SiO2. Based on DTA results, heat treatmen
Externí odkaz:
https://doaj.org/article/39a1ec6aed9448cc95e3027a24a6f7d6
Publikováno v:
Iranian Journal of Materials Science and Engineering, Vol 11, Iss 3, Pp 1-10 (2014)
The synthesis of mesoporous CuFe2O4 spinel by several nanocasting strategies (i.e., multi-step nanocasting, one step nanocasting, modified solid-liquid), in which copper and iron nitrates are used as precursors and Pluronic P123 as surfactant, is exp
Externí odkaz:
https://doaj.org/article/6112f5319a21415cbf0406b4b5bb9e36