Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Yaoyuan Wang"'
Publikováno v:
The Clinical Respiratory Journal, Vol 18, Iss 7, Pp n/a-n/a (2024)
ABSTRACT Background Mitochondrial ribosomal protein L35 (MRPL35) has been reported to contribute to the growth of non–small cell lung cancer (NSCLC) cells. However, the functions and mechanisms of MRPL35 on glutamine metabolism in NSCLC remain uncl
Externí odkaz:
https://doaj.org/article/2e29c355368a4f9996d6f26f85591be1
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Positive human–agent relationships can effectively improve human experience and performance in human–machine systems or environments. The characteristics of agents that enhance this relationship have garnered attention in human–agent o
Externí odkaz:
https://doaj.org/article/cb631e3bc4da42eaa7eb2185122725cd
Autor:
Ruofan Li, Min Song, Zhe Guo, Shihao Li, Wei Duan, Shuai Zhang, Yufeng Tian, Zhenjiang Chen, Yi Bao, Jinsong Cui, Yan Xu, Yaoyuan Wang, Wei Tong, Zhe Yuan, Yan Cui, Li Xi, Dan Feng, Xiaofei Yang, Xuecheng Zou, Jeongmin Hong, Long You
Publikováno v:
Advanced Science, Vol 9, Iss 25, Pp n/a-n/a (2022)
Abstract Analog arithmetic operations are the most fundamental mathematical operations used in image and signal processing as well as artificial intelligence (AI). In‐memory computing (IMC) offers a high performance and energy‐efficient computing
Externí odkaz:
https://doaj.org/article/1a5f9cbba48b47efb445d92d4353d993
Publikováno v:
Physical Review Research, Vol 3, Iss 4, p L042040 (2021)
We propose the Fourier-domain transfer entropy spectrum, a generalization of transfer entropy, as a model-free metric of causality. For arbitrary systems, this approach systematically quantifies the causality among their different system components r
Externí odkaz:
https://doaj.org/article/9083825104e14481899f47abeab4c685
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Memristors show great promise in neuromorphic computing owing to their high-density integration, fast computing and low-energy consumption. However, the non-ideal update of synaptic weight in memristor devices, including nonlinearity, asymmetry and d
Externí odkaz:
https://doaj.org/article/e532e56334804389bf308089beba4912
Autor:
Zexi Jia, Kaichao You, Weihua He, Yang Tian, Yongxiang Feng, Yaoyuan Wang, Xu Jia, Yihang Lou, Jingyi Zhang, Guoqi Li, Ziyang Zhang
Publikováno v:
IEEE Transactions on Image Processing. 32:1829-1842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4b2ba58f51b1d6178b85776fb982808
https://doi.org/10.1109/tip.2023.3249579
https://doi.org/10.1109/tip.2023.3249579
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
Abstract Electrochemical metallization (ECM) memories are among the various emerging non-volatile memory technologies, contending to replace DRAM and Flash and enabling novel neuromorphic computing applications. Typically, the operation of ECM cell i
Externí odkaz:
https://doaj.org/article/a3725203f91e45a3900a98b8d5df66e1
Autor:
Xianyu Wang, Yuhan Zhang, Weihua He, Yaoyuan Wang, Minglei Li, Yuchen Wang, Jingyi Zhang, Shunbo Zhou, Ziyang Zhang
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fc7b9b67521fc995218fa8aec287fc1
https://doi.org/10.1109/icassp49357.2023.10097270
https://doi.org/10.1109/icassp49357.2023.10097270
Autor:
Yongxiang Feng, Weihua He, Kaichao You, Bing Liu, Ziyang Zhang, Yaoyuan Wang, Minglei Li, Yihang Lou, Jiawei Li, Guoqi Li, Jianxing Liao
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::612ecf243f1268556d61b834364fd8bd
https://doi.org/10.1109/icassp49357.2023.10096430
https://doi.org/10.1109/icassp49357.2023.10096430
Publikováno v:
IEEE Robotics and Automation Letters. 7:6886-6893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da3227178777b854018876f19b1643a8
https://doi.org/10.1109/lra.2022.3178791
https://doi.org/10.1109/lra.2022.3178791