jaundiced
发表于 2025-3-26 23:01:58
http://reply.papertrans.cn/27/2631/263044/263044_31.png
铁塔等
发表于 2025-3-27 01:24:14
http://reply.papertrans.cn/27/2631/263044/263044_32.png
Pamphlet
发表于 2025-3-27 07:24:31
Conference proceedings 2023Engineers and Educators, ICPCSEE 2023 held in Harbin, China, during September 22–24, 2023..The 52 full papers and 14 short papers presented in these two volumes were carefully reviewed and selected from 244 submissions. .The papers are organized in the following topical sections:.Part I: Applicatio
LAIR
发表于 2025-3-27 13:18:50
http://reply.papertrans.cn/27/2631/263044/263044_34.png
沉着
发表于 2025-3-27 15:56:45
http://reply.papertrans.cn/27/2631/263044/263044_35.png
fertilizer
发表于 2025-3-27 20:23:26
Competition in the UK Grocery Tradesgrey model outperforms the GM(1,1) grey model in relation to the average relative error rate, the single point maximum error, the mean square error of relative error, and the average relative accuracy.
Cerebrovascular
发表于 2025-3-28 00:34:57
Better Fibre Orientation Estimation with Single-Shell Diffusion MRI Using Spherical U-Netpherical convolution network. We reduce the need for high-quality data by utilizing b = 1000 s/mm. with 60 gradient directions or even less. Our results show that our method outperforms the traditional S-CSD when compared to the M-CSD results as our gold standard.
创作
发表于 2025-3-28 03:46:40
http://reply.papertrans.cn/27/2631/263044/263044_38.png
figment
发表于 2025-3-28 07:00:07
Better Fibre Orientation Estimation with Single-Shell Diffusion MRI Using Spherical U-Nethell Multi-Tissue Constrained Spherical Deconvolution (M-CSD) method, which is a significant technique for reconstructing the fibre orientation distribution function (fODF), requires multishell data with a considerable number of gradient directions to achieve high accuracy. As multishell data are no
Preamble
发表于 2025-3-28 12:46:42
A Method for Extracting Electronic Medical Record Entities by Fusing Multichannel Self-Attention Mecmedical record content data is an effective means to obtain medical knowledge and analyse patients’ states, but the existing methods for extracting entities from electronic medical records have problems of redundant information, overlapping entities, and low accuracy rates. Therefore, this paper pro