Zobrazeno 1 - 10
of 321 514
pro vyhledávání: '"Zhan A"'
Publikováno v:
E3S Web of Conferences, Vol 520, p 02004 (2024)
This paper proposes an innovative approach by integrating deep learning technology, specifically employing the GRU recurrent neural network model based on the Seagull optimization algorithm, to enhance the accuracy of predicting biochar performance.
Externí odkaz:
https://doaj.org/article/a41663d9fa884ec1a92b7b6f50c76e6e
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 237, Iss 5, Pp 903-905 (2022)
C25H30Cl4N6O6, triclinic, P1‾ $P\overline{1}$ (no. 2), a = 9.2652(2) Å, b = 11.7642(3) Å, c = 14.6692(4) Å, α = 106.929(2)°, β = 99.753(2)°, γ = 98.675(2)°, V = 1473.15(7) Å3, Z = 2, R gt(F) = 0.0292, wRref (F 2) = 0.0839, T = 170 K.
Externí odkaz:
https://doaj.org/article/52dbd71e9e3c465c9f3d8a8bf75ae516
Publikováno v:
Open Physics, Vol 20, Iss 1, Pp 117-129 (2022)
Aiming at the problem of poor construction accuracy of the cellular three-dimensional (3D) mechanical microenvironment, this article studies the cellular 3D mechanical microenvironment based on machine vision. The gelatin methacrylate microgel column
Externí odkaz:
https://doaj.org/article/e34ff94909834610ab2576da4e8bd4f3
We present a tool called HHLPar for verifying hybrid systems modelled in Hybrid Communicating Sequential Processes (HCSP). HHLPar is built upon a Hybrid Hoare Logic for HCSP, which is able to reason about continuous-time properties of differential eq
Externí odkaz:
http://arxiv.org/abs/2407.08936
Switching controllers play a pivotal role in directing hybrid systems (HSs) towards the desired objective, embodying a ``correct-by-construction'' approach to HS design. Identifying these objectives is thus crucial for the synthesis of effective swit
Externí odkaz:
http://arxiv.org/abs/2406.16588
Autor:
Ma, Enhui, Zhou, Lijun, Tang, Tao, Zhang, Zhan, Han, Dong, Jiang, Junpeng, Zhan, Kun, Jia, Peng, Lang, Xianpeng, Sun, Haiyang, Lin, Di, Yu, Kaicheng
Using generative models to synthesize new data has become a de-facto standard in autonomous driving to address the data scarcity issue. Though existing approaches are able to boost perception models, we discover that these approaches fail to improve
Externí odkaz:
http://arxiv.org/abs/2406.01349
Autor:
Wang, Fei, Lu, Kannan, Zhan, Huijuan, Ma, Lu, Wu, Feng, Sun, Hantao, Deng, Hao, Bai, Yang, Bao, Feng, Chang, Xu, Gao, Ran, Gao, Xun, Gong, Guicheng, Hu, Lijuan, Hu, Ruizi, Ji, Honghong, Ma, Xizheng, Mao, Liyong, Song, Zhijun, Tang, Chengchun, Wang, Hongcheng, Wang, Tenghui, Wang, Ziang, Xia, Tian, Xu, Hongxin, Zhan, Ze, Zhang, Gengyan, Zhou, Tao, Zhu, Mengyu, Zhu, Qingbin, Zhu, Shasha, Zhu, Xing, Shi, Yaoyun, Zhao, Hui-Hai, Deng, Chunqing
Fluxonium qubits are recognized for their high coherence times and high operation fidelities, attributed to their unique design incorporating over 100 Josephson junctions per superconducting loop. However, this complexity poses significant fabricatio
Externí odkaz:
http://arxiv.org/abs/2405.05481
Publikováno v:
Meikuang Anquan, Vol 53, Iss 12, Pp 48-53, 61 (2022)
In the process of CO2 geological sequestration, the mechanical properties of coal will be changed after supercritical CO2 interacts with coal. Based on this, in this paper, Brazilian splitting test and variable angle shear test were carried out on an
Externí odkaz:
https://doaj.org/article/011ea64b7332408d9d097f6ca279a027
Autor:
Yang, Yuchen, Yao, Hongwei, Yang, Bingrun, He, Yiling, Li, Yiming, Zhang, Tianwei, Qin, Zhan, Ren, Kui
Recently, code-oriented large language models (Code LLMs) have been widely and successfully used to simplify and facilitate code programming. With these tools, developers can easily generate desired complete functional codes based on incomplete code
Externí odkaz:
http://arxiv.org/abs/2407.09164
Autor:
Gao, Wanling, Huang, Yunyou, Cui, Dandan, Yu, Zhuoming, Liu, Wenjing, Liang, Xiaoshuang, Zhao, Jiahui, Xie, Jiyue, Li, Hao, Ma, Li, Ye, Ning, Kang, Yumiao, Luo, Dingfeng, Pan, Peng, Huang, Wei, Liu, Zhongmou, Hu, Jizhong, Zhao, Gangyuan, Jiang, Chongrong, Huang, Fan, Wei, Tianyi, Tang, Suqin, Xia, Bingjie, Zhang, Zhifei, Zhan, Jianfeng
A profound gap persists between artificial intelligence (AI) and clinical practice in medicine, primarily due to the lack of rigorous and cost-effective evaluation methodologies. State-of-the-art and state-of-the-practice AI model evaluations are lim
Externí odkaz:
http://arxiv.org/abs/2407.08554