Zobrazeno 1 - 10
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pro vyhledávání: '"MA Chi"'
Autor:
Li Qingshan, Niu Xiaoben, Song Zhiqiang, Ning Liyan, Sun Lei, Sun Huiying, Ma Chi, Guo Yaolong
Publikováno v:
E3S Web of Conferences, Vol 512, p 02011 (2024)
Fiber stabilizers can significantly extend the road’s service lifeIn the research below, six different types of fibers are selected to research extending the service life of asphalt pavements by improving raw materials in the early stage from the p
Externí odkaz:
https://doaj.org/article/bbf3fbf58167454a9bfce6359e6c575c
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 22, Iss 12, Pp 1021-1025 (2022)
Petrosal vein (PV) is an important drainage vein of posterior cranial fossa, needs to be properly preserved during cerebellopontine angle (CPA) surgery. Whether it is safe to sacrifice PV is a topic of intense debate and worth discussing. On one hand
Externí odkaz:
https://doaj.org/article/efbd8fd6ef684ca0a70b66c742920706
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 9, Pp 56-62 (2022)
The fault diagnosis method of planetary gearbox based on machine learning relies on the artificial selection of the eigenvectors. The quality of eigenvectors selection largely determines the accuracy of the diagnosis method. The convolutional neural
Externí odkaz:
https://doaj.org/article/11f0b748070a45b293c6df58f2550625
Autor:
Ma Chi, Zhang WeiLin, Wang LianHui, Guo Zhuo, Jiang Yan, Shan Yi, Chen JingYi, Wang Ying, Sin Lee Tin
Publikováno v:
Science and Engineering of Composite Materials, Vol 29, Iss 1, Pp 140-150 (2022)
A graphene hybridizing polyurethane/polyethyl methacrylate (GR-PU/PEMA) damping composite was synthesized using the sequential interpenetration method. The effects of the graphene content and the microphase separation structure on the damping propert
Externí odkaz:
https://doaj.org/article/5a01c777c47a4aec9f401b6af4b10e6b
Dynamic activation (DA) techniques, such as DejaVu and MoEfication, have demonstrated their potential to significantly enhance the inference efficiency of large language models (LLMs). However, these techniques often rely on ReLU activation functions
Externí odkaz:
http://arxiv.org/abs/2408.11393
Autor:
Tang Xiongfeng, Zhang Cheng, He Meng, Ma Chi, Guo Deming, Qi Huan, Chen Bo, Yang Kedi, Shen Xianyue, Wong Tak-Man, Lu William Weijia, Qin Yanguo
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Background: The diagnosis of osteoporosis is still one of the most critical topics for orthopedic surgeons worldwide. One research direction is to use existing clinical imaging data for accurate measurements of bone mineral density (BMD) without addi
Externí odkaz:
https://doaj.org/article/d1946af5ee7e44cc80f5ca893454303e
Publikováno v:
IEEE Access, Vol 9, Pp 12750-12761 (2021)
The traditional financial models used in bond default mainly focus on the analysis and prediction of bonds issued by listed companies, and they lack early warning abilities for a large number of bonds of nonlisted companies. At the same time, there i
Externí odkaz:
https://doaj.org/article/19687b497439441785e01f1e626c4c23
Autor:
Shi, Xinzheng, Fu, Hui, Huang, Zhenghua, Yan, Limei, Ma, Chi, Huangfu, Chenxi, Song, Hongqiang, Xia, Lidong
The dependence of the sources and properties of the near-Earth solar wind on solar cycle activity is an important issue in solar and space physics. We use the improved two-step mapping procedure that takes into account the initial acceleration proces
Externí odkaz:
http://arxiv.org/abs/2407.00915
Massive Over-activation Yielded Uplifts(MOYU) is an inherent property of large language models, and dynamic activation(DA) based on the MOYU property is a clever yet under-explored strategy designed to accelerate inference in these models. Existing m
Externí odkaz:
http://arxiv.org/abs/2406.12569
In this work, we systematically investigate the efficacy of dynamic activation mechanisms within the LLaMA family of language models. Despite the potential of dynamic activation methods to reduce computation and increase speed in models using the ReL
Externí odkaz:
http://arxiv.org/abs/2405.09274