Zobrazeno 1 - 10
of 2 039
pro vyhledávání: '"Luo Bing"'
Autor:
Xiao Weiqing, Xue Lei, Liu Zhen, Luo Bing, Wang Ying, Zhang Laien, Guo Ping, Huo Qing, Han Shuli, He Wenchun
Publikováno v:
应用气象学报, Vol 35, Iss 3, Pp 373-384 (2024)
To process the high-density and high-frequency mass data generated by ground automatic weather stations, a real-time stream processing system based on Storm is designed and implemented in the Meteorological Big Data Cloud Platform (Tianqing). It leve
Externí odkaz:
https://doaj.org/article/2a3bc611530e4087af6731806dec8ce6
Autor:
Yang Heping, Zhang Qiang, Luo Bing, Chen Nan, Deng Xin, Zhang Zhiqiang, Sun Chao, Chen Jinghua, Zhao Yufei, Li Xiaoru, Guo Cong, Chen Jie, Li Moyu
Publikováno v:
应用气象学报, Vol 34, Iss 1, Pp 117-128 (2023)
Meteorological support is demanded during major events, sudden meteorological disasters and flood season consultation services. In traditional way, each department reports and displays the products one by one, which limits operational coordination, i
Externí odkaz:
https://doaj.org/article/19a73413f14e41afa6e9ad6d8c922719
Autor:
MA Jianfei, LI Xiangquan, ZHANG Chunchao, FU Changchang, WANG Xuefeng, XIE Xiaoguo, WANG Zhenxing, LUO Bing, BAI Zhanxue, ZHAO Chongqin
Publikováno v:
Dizhi lixue xuebao, Vol 28, Iss 6, Pp 956-968 (2022)
The complex hydrogeological structure and abundant karst water in the carbonate rock distribution area in the Jinshajiang fault zone's middle section are essential threats to engineering safety. Based on karst landform and hydrogeological investigati
Externí odkaz:
https://doaj.org/article/e6d23d2834964d09af3c0c198e09c45f
Large Language Model (LLM) based multi-agent systems (MAS) have shown promise in tackling complex tasks, but often rely on predefined roles and centralized coordination, limiting their adaptability to evolving challenges. This paper introduces MorphA
Externí odkaz:
http://arxiv.org/abs/2410.15048
Modern distributed learning systems face a critical challenge when clients request the removal of their data influence from trained models, as this process can significantly destabilize system performance and affect remaining participants. We propose
Externí odkaz:
http://arxiv.org/abs/2410.15045
Deep learning-based techniques have been widely utilized for brain tumor segmentation using both single and multi-modal Magnetic Resonance Imaging (MRI) images. Most current studies focus on centralized training due to the intrinsic challenge of data
Externí odkaz:
http://arxiv.org/abs/2409.01020
Publikováno v:
Open Chemistry, Vol 19, Iss 1, Pp 128-137 (2021)
To comprehensively reuse copper ore tailings, the recovery of γ-Fe2O3 from magnetic roasted slag after sulfur release from copper ore tailings followed by magnetic separation is performed. In this work, after analysis of chemical composition and min
Externí odkaz:
https://doaj.org/article/4276795ae4844335af6195ced222f1c7
Publikováno v:
Open Life Sciences, Vol 16, Iss 1, Pp 84-91 (2021)
The objective of this study was to investigate the relationship among hypersensitive C-reactive protein to albumin ratio (CAR), fibrinogen to albumin ratio (FAR), and the CURB-65 score for community-acquired pneumonia (CAP) severity.
Externí odkaz:
https://doaj.org/article/153f5ed465cb4fb49b031264e1802dca
In this demo, we introduce FedCampus, a privacy-preserving mobile application for smart \underline{campus} with \underline{fed}erated learning (FL) and federated analytics (FA). FedCampus enables cross-platform on-device FL/FA for both iOS and Androi
Externí odkaz:
http://arxiv.org/abs/2409.00327
The formation of quasi-single helicity (QSH) state from a paramagnetic pinch in the KTX-RFP regime has been observed in recent NIMROD simulations. The quasi-single helicity state has a dominant helical component of the magnetic field that is known to
Externí odkaz:
http://arxiv.org/abs/2408.14165