Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Lindong Wu"'
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 9, Pp 1257-1261 (2021)
The RRAM-based array is one of the most promising core functional primitives to accelerate the inference process of neural networks. However, the stress-induced disturbance can cause a significant accuracy drop during inference process where input ve
Externí odkaz:
https://doaj.org/article/4916180432bc417a9046646fbb3d0e0d
Autor:
Jiangfeng Dong, Jishang Xu, Guangxue Li, Anlong Li, Shaotong Zhang, Jianwei Niu, Xingyu Xu, Lindong Wu
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 3, p 437 (2022)
Seabed liquefaction and sediment resuspension under wave loading are key issues in marine engineering, but are usually regarded as independent processes (instead of coexisting and interacting processes). Here, we analyzed random wave-induced seabed l
Externí odkaz:
https://doaj.org/article/bf01c13b40fa4c84b7dc505da7313643
Autor:
Lindong Wu, Zongwei Wang, Lin Bao, Zhizhen Yu, Qingyu Chen, Yaotian Ling, Yabo Qin, Shengyu Bao, Zhuoya Chen, Guandong Bai, Yimao Cai, John Robertson, Ru Huang
Publikováno v:
IEEE Transactions on Electron Devices. 69:1830-1834
Autor:
Chen Yang, Ziyang Zhang, Ying Wang, Weihua He, Yaoyuan Wang, Yuhan Zhang, Ying Yang, Kun Tian, Lindong Wu, Jianxing Liao
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:1332-1336
Publikováno v:
2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML).
Publikováno v:
2022 IEEE 16th International Conference on Solid-State & Integrated Circuit Technology (ICSICT).
Publikováno v:
2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI).
In recent years, many ecological problems brought by rapid urbanization have attracted attention, but less attention has been paid to the daily variation of hydrothermal environment at small scale. In order to precisely investigate the effect of subs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a261f4a185fcb61ddaccca11149b3681
https://doi.org/10.21203/rs.3.rs-1375889/v1
https://doi.org/10.21203/rs.3.rs-1375889/v1
Autor:
Yimao Cai, Bowen Wang, Ru Huang, John Robertson, Jian Kang, Lindong Wu, Zongwei Wang, Qingyu Chen, Guandong Bai, Lin Bao, Yaotian Ling, Keqin Liu, Kham M. Niang, Zhizhen Yu
Publikováno v:
IEEE Electron Device Letters. 42:102-105
Compressed sensing with a tunable random sampling strategy has great potential in reducing the energy/time consumption during the constant acquisition of external information, thereby it is considered one of the most promising sensing strategies in e
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 9, Pp 1257-1261 (2021)
The RRAM-based array is one of the most promising core functional primitives to accelerate the inference process of neural networks. However, the stress-induced disturbance can cause a significant accuracy drop during inference process where input ve