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Titlebook: Hot Cracking Phenomena in Welds III; Thomas B?llinghaus,John Lippold,Carl E. Cross Book 2011 Springer-Verlag Berlin Heidelberg 2011 Hot Cr

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樓主: exterminate
11#
發(fā)表于 2025-3-23 10:13:41 | 只看該作者
Carl E. Cross,N. Coniglio,E.M. Westin,A. Gumenyuk, academic personnel, scientists, and research students.Serv.The book gives an insight into the latest research going on worldwide in the area of functional materials that specifically utilized for the energy harvesting, storage, and environmental monitoring. Since the technology is moving very fast
12#
發(fā)表于 2025-3-23 17:38:46 | 只看該作者
P.W. Hochanadel,T.J. Lienert,J.N. Martinez,R.J. Martinez,M.Q. Johnsonarvesting, storage, and environmental monitoring. Since the technology is moving very fast day by day, it has become a need of hour to stay updated with recent advancements in materials which include electronic, magnetic, optical, adaptive, dielectric materials, etc., that are required to develop ne
13#
發(fā)表于 2025-3-23 21:03:50 | 只看該作者
14#
發(fā)表于 2025-3-23 23:10:11 | 只看該作者
15#
發(fā)表于 2025-3-24 06:09:50 | 只看該作者
16#
發(fā)表于 2025-3-24 09:31:31 | 只看該作者
17#
發(fā)表于 2025-3-24 14:04:02 | 只看該作者
18#
發(fā)表于 2025-3-24 14:55:10 | 只看該作者
John N. DuPontng imaging devices struggle to address this issue in real-time. While most efforts leverage deep networks for image deraining and have made progress, their large parameter sizes hinder deployment on resource-constrained devices. Additionally, these data-driven models often produce deterministic resu
19#
發(fā)表于 2025-3-24 21:13:21 | 只看該作者
J. S. Unfried,E.A. Torres,A.J. Ramirezer from issues such as complex model structures, redundant parameters, and high computational demands. Therefore, striking a balance between model lightweighting and accuracy has become a new challenge. This paper is based on the single-stage YOLOv5 algorithm framework and presents an optimized desi
20#
發(fā)表于 2025-3-25 01:36:15 | 只看該作者
B. T. Alexandrov,John Lippold of CV, they cannot be directly applied to the field of NLP due to the discrete nature of data characteristics. Data poisoning attacks are a common strategy in backdoor attacks in the NLP field, such as replacing or inserting triggers (for example, rare words) into sentences. However, most of the pr
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