Zobrazeno 1 - 10
of 2 546
pro vyhledávání: '"Wang Shiyu"'
Publikováno v:
Science and Engineering of Composite Materials, Vol 30, Iss 1, Pp 68-72 (2023)
In this article, ABAQUS finite-element software is used to establish an asphalt pavement structure model under high-temperature environment in summer. The changes in the temperature field and moisture concentration field of asphalt pavement are studi
Externí odkaz:
https://doaj.org/article/d942d989443343fd91f45ab0556aeead
Autor:
Mao Ting, Chen Hongfa, Li Xin, Liu Yan, Zhong Shuncheng, Wang Shiyu, Zhao Yizhou, Zhang Zhan, Ni Shanjun, Huang He, Li Xu, Hu Shikai
Publikováno v:
Rice Science, Vol 30, Iss 5, Pp 359-363 (2023)
Externí odkaz:
https://doaj.org/article/17fd9813abd14dcfad0a25bfc099ea9d
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The magnitude and type structure of local government debt are first analyzed in this work. Then, using the “4E” evaluation theory, a local government debt performance assessment index system is built. Second, an entropy-TOPSIS technique is used t
Externí odkaz:
https://doaj.org/article/3d941a45da6a43be9936f2de0dd7bd65
Autor:
Guo Zhongya, Wang Shiyu, Zhang Ke, Lei Ping, Fu Lili, Zhang Qi, Shang Shanzhai, Wang Shuang, Wang Le, Zhang Mingjian, Gong Weimin, Han Jingmei, Li Zhiqiang, Pan Yonghua, Huang Feng, Liu Chuan, Tang Jianguo, Wang Bing, Li Bin
Publikováno v:
Contributions to Tobacco and Nicotine Research, Vol 31, Iss 3, Pp 130-141 (2022)
A novel concept is described here that utilizes externally applied heat to a solid rod of reconstituted tobacco biomass to form a stream of aerosol under progressively oxygen-deficient atmosphere. The boundary of auto-ignition was determined at oxyge
Externí odkaz:
https://doaj.org/article/5c9fbbd14a4949228af53d7dc1f67289
Autor:
Li, Yamin, Lou, Ange, Xu, Ziyuan, Zhang, Shengchao, Wang, Shiyu, Englot, Dario J., Kolouri, Soheil, Moyer, Daniel, Bayrak, Roza G., Chang, Catie
Functional magnetic resonance imaging (fMRI) is an indispensable tool in modern neuroscience, providing a non-invasive window into whole-brain dynamics at millimeter-scale spatial resolution. However, fMRI is constrained by issues such as high operat
Externí odkaz:
http://arxiv.org/abs/2410.05341
Deep learning for time series forecasting has seen significant advancements over the past decades. However, despite the success of large-scale pre-training in language and vision domains, pre-trained time series models remain limited in scale and ope
Externí odkaz:
http://arxiv.org/abs/2409.16040
Autor:
Spring, Peter A., Milanovic, Luka, Sunada, Yoshiki, Wang, Shiyu, van Loo, Arjan F., Tamate, Shuhei, Nakamura, Yasunobu
Fast and accurate qubit measurement remains a critical challenge on the path to fault-tolerant quantum computing. In superconducting quantum circuits, fast qubit measurement has been achieved using a dispersively coupled resonator with a large extern
Externí odkaz:
http://arxiv.org/abs/2409.04967
Interactions between the brain and body are of fundamental importance for human behavior and health. Functional magnetic resonance imaging (fMRI) captures whole-brain activity noninvasively, and modeling how fMRI signals interact with physiological d
Externí odkaz:
http://arxiv.org/abs/2408.14453
Autor:
An, Wei, Bi, Xiao, Chen, Guanting, Chen, Shanhuang, Deng, Chengqi, Ding, Honghui, Dong, Kai, Du, Qiushi, Gao, Wenjun, Guan, Kang, Guo, Jianzhong, Guo, Yongqiang, Fu, Zhe, He, Ying, Huang, Panpan, Li, Jiashi, Liang, Wenfeng, Liu, Xiaodong, Liu, Xin, Liu, Yiyuan, Liu, Yuxuan, Lu, Shanghao, Lu, Xuan, Nie, Xiaotao, Pei, Tian, Qiu, Junjie, Qu, Hui, Ren, Zehui, Sha, Zhangli, Su, Xuecheng, Sun, Xiaowen, Tan, Yixuan, Tang, Minghui, Wang, Shiyu, Wang, Yaohui, Wang, Yongji, Xie, Ziwei, Xiong, Yiliang, Xu, Yanhong, Ye, Shengfeng, Yu, Shuiping, Zha, Yukun, Zhang, Liyue, Zhang, Haowei, Zhang, Mingchuan, Zhang, Wentao, Zhang, Yichao, Zhao, Chenggang, Zhao, Yao, Zhou, Shangyan, Zhou, Shunfeng, Zou, Yuheng
The rapid progress in Deep Learning (DL) and Large Language Models (LLMs) has exponentially increased demands of computational power and bandwidth. This, combined with the high costs of faster computing chips and interconnects, has significantly infl
Externí odkaz:
http://arxiv.org/abs/2408.14158
The surging demand for cloud computing resources, driven by the rapid growth of sophisticated large-scale models and data centers, underscores the critical importance of efficient and adaptive resource allocation. As major tech enterprises deploy mas
Externí odkaz:
http://arxiv.org/abs/2408.01000