Zobrazeno 1 - 10
of 1 574
pro vyhledávání: '"SONG Pengfei"'
Publikováno v:
发电技术, Vol 45, Iss 5, Pp 826-837 (2024)
ObjectivesIn order to obtain the refined leakage flow of brush seal and reveal its sealing mechanism, the mathematical model of the leakage flow characteristics of brush seals based on the bristle pack staggered tube bundle model was established.Meth
Externí odkaz:
https://doaj.org/article/4501e54b6f7b4f7bba2d3f6281c701cd
Autor:
Yu Guangming, Xia Pengju, Zhang Yongyi, Shi Qimeng, Lei Jun, Song Pengfei, Tan Zhiwen, Liu Hao, Chen Ze
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
When constructing subway tunnels in coastal cities, boulders with high strength and large volume are often encountered. A large number of engineering practices have shown that the existence of boulders will destroy the unity and homogeneity of the st
Externí odkaz:
https://doaj.org/article/980cfd42cf0241099d9e63c01f0e75b9
Autor:
Tang, Yuqi, Dong, Zhijie, Wang, Nanchao, del Aguila, Angela, Johnston, Natalie, Vu, Tri, Ma, Chenshuo, Xu, Yirui, Yang, Wei, Song, Pengfei, Yao, Junjie
Photoacoustic computed tomography (PACT) is a proven technology for imaging hemodynamics in deep brain of small animal models. PACT is inherently compatible with ultrasound (US) imaging, providing complementary contrast mechanisms. While PACT can qua
Externí odkaz:
http://arxiv.org/abs/2307.14572
This paper presents a framework for semantic segmentation on sparse sequential point clouds of millimeter-wave radar. Compared with cameras and lidars, millimeter-wave radars have the advantage of not revealing privacy, having a strong anti-interfere
Externí odkaz:
http://arxiv.org/abs/2304.14132
To improve the spatial resolution of power Doppler (PD) imaging, we explored null subtraction imaging (NSI) as an alternative beamforming technique to delay-and-sum (DAS). NSI is a nonlinear beamforming approach that uses three different apodizations
Externí odkaz:
http://arxiv.org/abs/2301.03719
Autor:
SHEN Yongqian1,2, SONG Pengfei1, WEI Lijun1, ZHANG Guibin1, GAO Feng2, DU Xueyan1 duxy@lut.edu.cn
Publikováno v:
Journal of Functional Materials / Gongneng Cailiao. 2024, Vol. 55 Issue 9, p09118-09126. 9p.
Autor:
Fan, Zong, Gong, Ping, Tang, Shanshan, Lee, Christine U., Zhang, Xiaohui, Song, Pengfei, Chen, Shigao, Li, Hua
Automatic breast lesion detection and classification is an important task in computer-aided diagnosis, in which breast ultrasound (BUS) imaging is a common and frequently used screening tool. Recently, a number of deep learning-based methods have bee
Externí odkaz:
http://arxiv.org/abs/2210.05762
Autor:
Kou, Zhengchang, You, Qi, Kim, Jihun, Dong, Zhijie, Lowerison, Matthew R., Sekaran, Nathiya V. Chandra, Llano, Daniel A., Song, Pengfei, Oelze, Michael L.
Ultrafast ultrasound imaging is essential for advanced ultrasound imaging techniques such as ultrasound localization microscopy (ULM) and functional ultrasound (fUS). Current ultrafast ultrasound imaging is challenged by the ultrahigh data bandwidth
Externí odkaz:
http://arxiv.org/abs/2208.03429
Autor:
Fan, Zong, Zhang, Xiaohui, Gasienica, Jacob A., Potts, Jennifer, Ruan, Su, Thorstad, Wade, Gay, Hiram, Song, Pengfei, Wang, Xiaowei, Li, Hua
Deep learning (DL) techniques have been extensively utilized for medical image classification. Most DL-based classification networks are generally structured hierarchically and optimized through the minimization of a single loss function measured at
Externí odkaz:
http://arxiv.org/abs/2206.11501
Publikováno v:
In Applied Catalysis A, General 25 November 2024 687