Zobrazeno 1 - 10
of 3 893
pro vyhledávání: '"WANG Chu"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 4, Pp 820-830 (2023)
Aiming at the small imaging, complex background and crowded distribution of remote sensing image targets, a remote sensing image target detection algorithm (HQ-S2ANet) based on perceptual extension and anchor frame optimal matching is proposed by usi
Externí odkaz:
https://doaj.org/article/c9d77faaa6704f7598b28fdbbf8e5ba5
Publikováno v:
E3S Web of Conferences, Vol 598, p 01001 (2024)
Microplastic (MPs) pollution has became a serious issue. Photoaging is one of the main ways to produce MPs. Polylactic acid (PLA) is the most commonly used biodegradable plastic in industry, however, the current reports on the quantitative data of bi
Externí odkaz:
https://doaj.org/article/a104149b40244fc0aff26edf576b6e03
Publikováno v:
IEEE Access, Vol 10, Pp 71545-71556 (2022)
By grouping nodes with similar attributes into clusters, the energy efficiency and lifespan of wireless sensor networks(WSNs) can be improved effectively. However, the number of clusters needs to be set in advance, and the optimal cluster heads (CHs)
Externí odkaz:
https://doaj.org/article/b5f06b74a6004c9aad7ace08aece803d
Fault diagnosis technology supports the healthy operation of mechanical equipment. However, the variations conditions during the operation of mechanical equipment lead to significant disparities in data distribution, posing challenges to fault diagno
Externí odkaz:
http://arxiv.org/abs/2411.10340
Pre-trained large language models (LLM) have emerged as a powerful tool for simulating various scenarios and generating output given specific instructions and multimodal input. In this work, we analyze the specific use of LLM to enhance a classical s
Externí odkaz:
http://arxiv.org/abs/2405.05445
Autor:
Ni, Ming, Ma, Rong-Long, Kong, Zhen-Zhen, Chu, Ning, Zhu, Sheng-Kai, Wang, Chu, Li, Ao-Ran, Liao, Wei-Zhu, Cao, Gang, Wang, Gui-Lei, Guo, Guang-Can, Hu, Xuedong, Li, Hai-Ou, Guo, Guo-Ping
To realize large-scale quantum information processes, an ideal scheme for two-qubit operations should enable diverse operations with given hardware and physical interaction. However, for spin qubits in semiconductor quantum dots, the common two-qubit
Externí odkaz:
http://arxiv.org/abs/2404.18689
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 45, Iss 9, Pp 623-628 (2018)
Objective To explore the influence of CD151 inhibition by RNA interference on invasion and metastasis of Xuanwei lung adenocarcinoma XWLC-05 cells, as well as lung metastasis in nude mice given tail veins injection of XWLC-05 cells. Methods Recombina
Externí odkaz:
https://doaj.org/article/d50f6d2dcf1946aab00ffcdb0094a53a
Deep learning methods have access to be employed for solving physical systems governed by parametric partial differential equations (PDEs) due to massive scientific data. It has been refined to operator learning that focuses on learning non-linear ma
Externí odkaz:
http://arxiv.org/abs/2403.02810
Machine learning is employed for solving physical systems governed by general nonlinear partial differential equations (PDEs). However, complex multi-physics systems such as acoustic-structure coupling are often described by a series of PDEs that inc
Externí odkaz:
http://arxiv.org/abs/2403.01132
Autor:
Ni, Ming, Ma, Rong-Long, Kong, Zhen-Zhen, Xue, Xiao, Zhu, Sheng-Kai, Wang, Chu, Li, Ao-Ran, Chu, Ning, Liao, Wei-Zhu, Cao, Gang, Wang, Gui-Lei, Guo, Guang-Can, Hu, Xuedong, Jiang, Hong-Wen, Li, Hai-Ou, Guo, Guo-Ping
With one- and two-qubit gate fidelities approaching the fault-tolerance threshold for spin qubits in silicon, how to scale up the architecture and make large arrays of spin qubits become the more pressing challenges. In a scaled-up structure, qubit-t
Externí odkaz:
http://arxiv.org/abs/2310.06700