Zobrazeno 1 - 10
of 218
pro vyhledávání: '"Chen Yitao"'
Autor:
Nie Renjie, Chen Yitao, Xing Zhiquan, Chen Libo, Yue Zhicheng, Chen Wei, Chen Yu, Chen Long, Liu Shuping, Chen Jincheng
Publikováno v:
Reviews on Advanced Materials Science, Vol 63, Iss 1, Pp id. 032093(6pp)-154 (2024)
The corrosion problem of steel-reinforced concrete (SRC) columns in coastal areas is becoming increasingly severe and needs to be solved urgently. This study established a numerical analysis model for SRC middle-length columns considering corrosion e
Externí odkaz:
https://doaj.org/article/168ad364dd784891bde60ecd7c5c3574
Autor:
Xu Wenjun, Fu Zhenjie, Xu Yuqin, Cheung Man Hei, Chen Yan, Lin Meiai, Wen Hang, Lv Hang, Liang Chun, Lou Jianshu, Chen Yitao
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 1897-1908 (2022)
Gastric cancer is the fifth most frequently occurring and the fourth most lethal malignant cancer worldwide. A bioactive protein (pPe Op) from Omphalia lapidescens exhibits significant inhibitory effects on gastric cancer cells. miRNA deep sequencing
Externí odkaz:
https://doaj.org/article/223f8b066c0a4f788264872a161228d2
Autor:
Nakamura, Tomonori, Chen, Yitao, Nemoto, Ryohei, Qian, Wenxuan, Fukushima, Yuto, Kawaguchi, Kaishu, Mori, Ryo, Kondo, Takeshi, Yamaji, Youhei, Tsuda, Shunsuke, Yaji, Koichiro, Uchihashi, Takashi
Publikováno v:
Commun. Mater. 5, 167 (2024)
Moir\'e superlattices consisting of two-dimensional materials have attracted immense attention because of emergent phenomena such as flat band-induced Mott insulating states and unconventional superconductivity. However, the effects of spin-orbit cou
Externí odkaz:
http://arxiv.org/abs/2404.05142
A fundamental challenge of autonomous driving is maintaining the vehicle in the center of the lane by adjusting the steering angle. Recent advances leverage deep neural networks to predict steering decisions directly from images captured by the car c
Externí odkaz:
http://arxiv.org/abs/2306.03222
Knowledge Transfer (KT) achieves competitive performance and is widely used for image classification tasks in model compression and transfer learning. Existing KT works transfer the information from a large model ("teacher") to train a small model ("
Externí odkaz:
http://arxiv.org/abs/2303.07599
We study the moduli space $\mathcal{F}_{T_1}$ of quasi-trielliptic K3 surfaces of type I, whose general member is a smooth bidegree $(2,3)$-hypersurface of $\mathbb{P}^1\times \mathbb{P}^2$. Such moduli space plays an important role in the study of t
Externí odkaz:
http://arxiv.org/abs/2212.14635
Deep learning models have introduced various intelligent applications to edge devices, such as image classification, speech recognition, and augmented reality. There is an increasing need of training such models on the devices in order to deliver per
Externí odkaz:
http://arxiv.org/abs/2201.10947
Publikováno v:
In Expert Systems With Applications 1 July 2024 245
Autor:
Chen, Yitao, Vasal, Deepanshu
Belief propagation is a fundamental message-passing algorithm for numerous applications in machine learning. It is known that belief propagation algorithm is exact on tree graphs. However, belief propagation is run on loopy graphs in most application
Externí odkaz:
http://arxiv.org/abs/2112.06087
Publikováno v:
In Journal of Information Security and Applications March 2024 81