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Akademický článek

Research progress and application of artificial intelligence technology in lung cancer diagnosis

Autor: Li Yuepeng, Luo Wenxin, Wang Zhoufeng, Li Weimin

Publikováno v: 生物医学转化, Vol 4, Iss 4, Pp 54-59 (2023)

The use of artificial intelligence in the medical field has become increasingly widespread, particularly in the diagnosis of lung cancer. Early and accurate diagnosis of lung cancer is crucial for effective treatment and improved survival rates. AI t

Externí odkaz: https://doaj.org/article/4180ec4ecac8462db5c5b0f6fc2a570c

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Akademický článek

Fujita-type theorems for a quasilinear parabolic differential inequality with weighted nonlocal source term

Autor: Li Yuepeng, Fang Zhong Bo

Publikováno v: Advances in Nonlinear Analysis, Vol 12, Iss 1, Pp 1687-1711 (2023)

This work is concerned with the nonexistence of nontrivial nonnegative weak solutions for a quasilinear parabolic differential inequality with weighted nonlocal source term in the whole space, which involves weighted polytropic filtration operator or

Externí odkaz: https://doaj.org/article/0441d3c5b791475891cdd8e318652db1

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Akademický článek

Application of multi-head attention mechanism with embedded positional encoding in amplitude estimation of stacked pulses

Autor: TANG Lin, ZHOU Shuang, LI Yong, LIAO Xianli, LI Yuepeng

Publikováno v: He jishu, Vol 46, Iss 9, Pp 090505-090505 (2023)

BackgroundThe calculation error of the stacked pulse amplitude generated by traditional pulse shaping methods leads to distortion in the X-ray fluorescence spectrum; thus, it is difficult to accurately analyze the spectrum measured in a high-stacking

Externí odkaz: https://doaj.org/article/ff6bf50582af405aa0b82737002e53ed

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HurriCast: An Automatic Framework Using Machine Learning and Statistical Modeling for Hurricane Forecasting

Autor: Gao, Shouwei, Gao, Meiyan, Li, Yuepeng, Dong, Wenqian

Hurricanes present major challenges in the U.S. due to their devastating impacts. Mitigating these risks is important, and the insurance industry is central in this effort, using intricate statistical models for risk assessment. However, these models

Externí odkaz: http://arxiv.org/abs/2309.07174