نتایج جستجو برای: wise and cross
تعداد نتایج: 16889129 فیلتر نتایج به سال:
The risk of radiologic procedures is determined by different factors including contrast media, type of disease, procedure and skill of the physician. To reduce the contrast media-related risk, it is wise to use low osmolar contrast media (LOCM) in high-risk patients. When there is negligible cost difference between LOCM and other contrast media, it is wise to use LOCM for all patients. If an al...
A novel loss function based on category distribution for semantic segmentation is proposed in this paper. The new composed of two parts: (1) Pixel-wise cross-entropy. (2) Category proposed. Most existing networks adopt a single pixel-wise cross-entropy function, which guides the network to independently predict class each pixel belongs to. downside that ignoring global information image -- all ...
department of islamic philosophy and wisdom, zanjan university bringing up the ancients’ views and asking about their ultimate condition in mullā ṣadrā’s thinking and that of his disciples has had a significant impact on the formation and development of the motion theory. mentioning the names and bringing up the views of the ancient greek philosophers, as evidences for truthfulness in the disco...
چکیده حیطه ی نوشتار دانشگاهی اخیرا شاهد تغییرات عمده ای از غیرشخصی بودن (عینی بودن) به شخصی بودن بوده است. شخصی بودن متون دانشگاهی اهمیت استفاده از وجهیت معرفتی را برجسته می سازد چرا که? وجهیت معرفتی? بر اساس یکی از تعاریف ارائه شده از این مقوله? ارتباط تنگاتنگی با شخصی بودن داشته و به عنوان بیان نظر شخصی گوینده در مورد جز گزاره ای گفته در نظر گرفته میشود. بنابراین? با در نظر داشتن نقاط مشترک...
A switching network of depth d is a layered graph with d layers and n vertices in each layer. The edges of the switching network do not cross between layers and in each layer the edges form a partial matching. A switching network defines a stochastic process over Sn that starts with the identity permutation and goes through the layers of the network from first to last, where for each layer and ...
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