Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Xiaoyun YUAN"'
Autor:
Xueyang Wang, Xuecheng Chen, Puhua Jiang, Haozhe Lin, Xiaoyun Yuan, Mengqi Ji, Yuchen Guo, Ruqi Huang, Lu Fang
Publikováno v:
Engineering, Vol 34, Iss , Pp 70-82 (2024)
Anticipating others’ actions is innate and essential in order for humans to navigate and interact well with others in dense crowds. This ability is urgently required for unmanned systems such as service robots and self-driving cars. However, existi
Externí odkaz:
https://doaj.org/article/ef9e7bf1a81340a691ac07242deed088
Publikováno v:
Light: Science & Applications, Vol 13, Iss 1, Pp 1-12 (2024)
Abstract Scalable, high-capacity, and low-power computing architecture is the primary assurance for increasingly manifold and large-scale machine learning tasks. Traditional electronic artificial agents by conventional power-hungry processors have fa
Externí odkaz:
https://doaj.org/article/64955bb6c13744b2a6c908bb954514ea
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Optoelectronic neural networks (ONN) are a promising avenue in AI computing due to their potential for parallelization, power efficiency, and speed. Diffractive neural networks, which process information by propagating encoded light through
Externí odkaz:
https://doaj.org/article/3b090c99a04043d9900fe57711d039f9
Publikováno v:
ACS Omega, Vol 8, Iss 48, Pp 45177-45187 (2023)
Externí odkaz:
https://doaj.org/article/c67451bf0f704ab6b8ec803443b1ef59
Publikováno v:
PLoS ONE, Vol 19, Iss 10, p e0312829 (2024)
Natural gas-doped hydrogen transportation has been widely used in industrial engineering. The change of the physical parameters of the conveying medium affects the working performance of the centrifugal compressor. This study aims to explore the aero
Externí odkaz:
https://doaj.org/article/afed00c8267e4930ac5b8abdbfb88e34
Autor:
Lu Fang, Mengqi Ji, Xiaoyun Yuan, Jing He, Jianing Zhang, Yinheng Zhu, Tian Zheng, Leyao Liu, Bin Wang, Qionghai Dai
Publikováno v:
Engineering, Vol 25, Iss , Pp 101-109 (2023)
Sensing and understanding large-scale dynamic scenes require a high-performance imaging system. Conventional imaging systems pursue higher capability by simply increasing the pixel resolution via stitching cameras at the expense of a bulky system. Mo
Externí odkaz:
https://doaj.org/article/8f36444b333e414f9bfde12e0658a689
Publikováno v:
Light: Science & Applications, Vol 11, Iss 1, Pp 1-13 (2022)
We develop Monet: a multichannel optical neural network architecture for a universal multiple-input multiple-channel optical computing based on a novel projection-interference-prediction framework, solving real-world advanced machine vision tasks opt
Externí odkaz:
https://doaj.org/article/225c67844afa476fa386b0735d6f67ce
Autor:
Li Lin, Peng Hu, Xin Tong, Shuai Na, Rui Cao, Xiaoyun Yuan, David C. Garrett, Junhui Shi, Konstantin Maslov, Lihong V. Wang
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Photoacoustic imaging has generated increasing interest for uses in preclinical research and clinical translation. Here the authors develop a three-dimensional photoacoustic computed tomography system that allows for multipurpose imaging of biologica
Externí odkaz:
https://doaj.org/article/45d1224eb9714958882707dbac056df6
Publikováno v:
Light: Science & Applications, Vol 10, Iss 1, Pp 1-9 (2021)
Abstract Array cameras removed the optical limitations of a single camera and paved the way for high-performance imaging via the combination of micro-cameras and computation to fuse multiple aperture images. However, existing solutions use dense arra
Externí odkaz:
https://doaj.org/article/740ffdcaf6c64922821ce25c5df26301
Autor:
Xiaoyin XI, Xiaoyun YUAN
Publikováno v:
Dianxin kexue, Vol 36, Pp 134-140 (2020)
In order to better promote the construction of China Telecom’s network and information security governance system,optimize the network and information security product service system,and promote the cultivation and development of network and inform
Externí odkaz:
https://doaj.org/article/e859b771c3dd464b9f6901a57774527a