Results 71 to 80 of about 1,376 (127)

[Image classification of osteoarthritis based on improved shifted windows transformer and graph convolutional networks]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Jiang L, Cao H, Ma Z.
europepmc   +1 more source

大跨度钢桁架隔震结构隔震性能及影响规律分析

Jianzhu Gangjiegou Jinzhan
由于大跨空间结构竖向振动问题突出，水平隔震支座难以有效控制结构的竖向地震响应。将摩擦摆水平隔震支座和空气弹簧-摩擦摆三维隔震支座应用于大跨度钢桁架中，分析钢桁架水平隔震结构和三维隔震结构的隔震控制效果。结果表明，水平隔震和三维隔震均延长了结构自振周期，隔震后一阶振型为上部桁架结构沿水平方向的整体平动。时程分析显示，在普通地震动、近断层脉冲型地震动和远场长周期地震动作用下，水平隔震支座对桁架水平和竖向节点峰值加速度的平均隔震率分别为43.4%和9.2 ...
韩庆华, 景铭, 芦燕, 刘铭劼
doaj  

[An unsupervised three-dimensional medical image registration method based on shifted window Transformer and convolutional neural network]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Li Y, Ruan C, Ruan D.
europepmc   +1 more source

[Review of application of U-Net and Transformer in colon polyp image segmentation]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Shi Y, Sun S, Liu J, Ma J, Li M.
europepmc   +1 more source

[Full-size diffusion model for adaptive feature medical image fusion]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Di J, Shi S, Wang H, Liang C, Zhu Y.
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合肥新桥国际机场T2航站楼累积提升关键技术研究

Jianzhu Gangjiegou Jinzhan
合肥新桥国际机场T2航站楼钢结构屋盖为大跨空间曲面立体管桁架结构体系，采用了分区累积提升的施工工艺。该屋盖具有结构高差大、主次桁架交叉布置密度大、施工体量大等特点，给结构施工带来了诸多技术挑战。施工过程中，提升分区划分、提升措施设计、施工过程模拟和提升点卸载等环节均对结构的受力状态和成型质量产生影响。对此，本文提出了一种基于结构等高线的分区规划方法，能够保证施工质量和效率的同时，也保证了分区屋盖荷载水平传递的合理性；针对不同的结构布置形式采用多种提升架组合方式，确保屋盖荷载竖向传递的合理性 ...
孙佳兴, 张敏, 贾尚瑞, 邢遵胜
doaj  

[ResLSTM-TemporalSE: an automated classification model for multi-lead ECG signals]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Qu M, Fu R.
europepmc   +1 more source

[A motor imagery decoding study integrating differential attention with a multi-scale adaptive temporal convolutional network]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Dong Z, Bao X, Yang Y, Wu J.
europepmc   +1 more source

[Progresses on temporal interference electromagnetic stimulation for non-invasive deep brain function modulation]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Zhou T, Yu P, Xu Y.
europepmc   +1 more source

[Artificial intelligence in predicting pathological complete response to neoadjuvant chemotherapy for breast cancer: current advances and challenges]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
He S, Li X, Xie Y, Hou J, Han B, Nie S.
europepmc   +1 more source