Zobrazeno 1 - 10
of 160
pro vyhledávání: '"CHENG XiaoHan"'
With the rise of deep learning technology in practical applications, Convolutional Neural Networks (CNNs) have been able to assist humans in solving many real-world problems. To enhance the performance of CNNs, numerous network architectures have bee
Externí odkaz:
http://arxiv.org/abs/2409.04977
Zero sample learning is an effective method for data deficiency. The existing embedded zero sample learning methods only use the known classes to construct the embedded space, so there is an overfitting of the known classes in the testing process. Th
Externí odkaz:
http://arxiv.org/abs/2408.06357
The traditional SegNet architecture commonly encounters significant information loss during the sampling process, which detrimentally affects its accuracy in image semantic segmentation tasks. To counter this challenge, we introduce an innovative enc
Externí odkaz:
http://arxiv.org/abs/2406.01605
The internal structure and operation mechanism of large-scale language models are analyzed theoretically, especially how Transformer and its derivative architectures can restrict computing efficiency while capturing long-term dependencies. Further, w
Externí odkaz:
http://arxiv.org/abs/2405.11704
Publikováno v:
Jixie qiangdu, Vol 40, Pp 863-868 (2018)
With the problems of complicated calculation process and lower computational efficiency in topology optimization using the traditional level set method（LSM） of heat conduction structures,parametric level set method（PLSM） is introduced into to
Externí odkaz:
https://doaj.org/article/dc9c341c920a479f935ae0a425b7da24
Publikováno v:
Jixie qiangdu, Vol 40, Pp 1341-1348 (2018)
In order to suppress gray-scale elements in Hybrid Cellular Automation method, distance factor and a new updating technique for state variables are proposed, combining the uncertainty of engineering structure, the optimization model of structural top
Externí odkaz:
https://doaj.org/article/63a11f1d54754955b3216af4b632f80d
The accuracy of solving partial differential equations (PDEs) on coarse grids is greatly affected by the choice of discretization schemes. In this work, we propose to learn time integration schemes based on neural networks which satisfy three distinc
Externí odkaz:
http://arxiv.org/abs/2310.10308
Motivated by the concept of transition system investigated by Kotzig in 1968, Krivelevich, Lee and Sudakov proposed a more general notion of incompatibility system to formulate the robustness of Hamiltonicity of Dirac graphs. Given a graph $G=(V,E)$,
Externí odkaz:
http://arxiv.org/abs/2212.08315
Autor:
Yu, Hao a, 1, Zhu, Tingting a, b, 1, Ma, Dongwen a, b, Cheng, Xiaohan a, c, Wang, Shengjia a, b, Yao, Yongzhong a, b, c, ⁎
Publikováno v:
In Heliyon 30 September 2024 10(18)
Publikováno v:
In Physica B: Condensed Matter 1 May 2024 680