Kết quả tìm kiếm - Jiayi Liu

Temporal domain generalization is crucial for the temporal forecasting of sensor data due to the non-stationary and evolving nature of most sensor-generated time series. However, temporal dynamics vary in scale, semantics, and structure, leading to distribution shifts that a single model cannot easi...

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The spatial and temporal rules governing passenger flow in urban rail transit (URT) stations are complex, and simulation modeling and analysis of passenger flow distribution in stations are very important in regard to scientifically organizing and controlling passenger flow and improving passenger t...

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ABSTRACT Primary aldosteronism (PA) is characterized by an overproduction of aldosterone, leading to hypertension and hypokalemia. Although surgery is an effective treatment for unilateral PA, some patients may be unwilling or unable to undergo this invasive procedure. This case report presents a 51...

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This review focuses on research on machine learning-enabled two-dimensional (2D) materials, exploring the progress and prospects of this interdisciplinary field. At a fundamental level, machine learning algorithms incorporate imaging systems to build highly accurate viewing frameworks for material a...

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The generalization of nautical charts remains crucial in geographic information science and cartography. Traditional geometry-based methods have contributed to the advancement of automated generalization to a certain extent, but they still exhibit significant limitations in handling complex marine s...

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Against the backdrop of evolving global climate patterns, the frequency and intensity of extreme weather events have increased significantly, posing unprecedented threats to agricultural production. This change has particularly profound impacts on agricultural systems in developing countries, making...

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Abstract Compared to offline measurement (interrupting the applied voltage before measurement), online measurement of surface charge on gas‐insulated transmission line (GIL) insulators effectively avoids the impact of spontaneous dissipation of charges. Thus, the accuracy of results can be improved....

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The rapid development of artificial intelligence technology has provided new ideas and methods for reactor physics calculations. Based on AI technology, a fast calculation method for reactor physics has been established, which combines model order reduction and machine learning to address the challe...

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ObjectiveWhether large language models (LLMs) can effectively facilitate CM knowledge acquisition remains uncertain. This study aims to assess the adherence of LLMs to Clinical Practice Guidelines (CPGs) in CM.MethodsThis cross-sectional study randomly selected ten CPGs in CM and constructed 150 que...

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BackgroundThe revised Risk-of-Bias tool (RoB2) overcomes the limitations of its predecessor but introduces new implementation challenges. Studies demonstrate low interrater reliability and substantial time requirements for RoB2 implementation. Large language models (LLMs) may...

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ABSTRACT Mastitis caused by methicillin-resistant Staphylococcus aureus (MRSA) is a common issue in dairy farming, with sequence types (STs) related to cows mainly including ST9 and ST97. ST59, the predominant community-acquired clone, is still less reported in dairy cows. This study investigated th...

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