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Pengyu Yang

Biographic Data

ID6294935
NAMEPengyu Yang
GIVEN NAMESPengyu
FAMILY NAMEYang
SIGNATUREYANG P
AFFILIATIONSRajamangala University of Technology Krungthep
ORCID0000-0001-7554-5281
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • The emotional impact of cultural tourism: Tourist cultural attributes and delight

    Open Access•Pei-Jung Yang, Pengyu Yang et al.•ARTICLE•Tourism Recreation Research•2026•References: 50

  • Statistical machine learning models for prediction of China’s maritime emergency patients in dynamic: Arima model, Sarima model, and dynamic Bayesian network model

    Open Access•Pengyu Yang, Pengfei Cheng et al.•ARTICLE•Frontiers in Public Health•2024

    Introduction Rescuing individuals at sea is a pressing global public health issue, garnering substantial attention from emergency medicine researchers with a focus on improving prevention and control strategies. This study aims to develop a Dynamic Bayesian Networks (DBN) model utilizing maritime emergency incident data and compare its forecasting accuracy to Auto-regressive Integrated Moving Average (ARIMA) and Seasonal Auto-regressive Integrate…

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  • Statistical machine learning models for prediction of China’s maritime emergency patients in dynamic: Arima model, Sarima model, and dynamic Bayesian network model

    Open Access•Pengyu Yang, Pengfei Cheng et al.•ARTICLE•Frontiers in Public Health•2024

    Introduction Rescuing individuals at sea is a pressing global public health issue, garnering substantial attention from emergency medicine researchers with a focus on improving prevention and control strategies. This study aims to develop a Dynamic Bayesian Networks (DBN) model utilizing maritime emergency incident data and compare its forecasting accuracy to Auto-regressive Integrated Moving Average (ARIMA) and Seasonal Auto-regressive Integrate…

  • The emotional impact of cultural tourism: Tourist cultural attributes and delight

    Open Access•Pei-Jung Yang, Pengyu Yang et al.•ARTICLE•Tourism Recreation Research•2026•References: 50

Advertising (1 works) · Aesthetics (1 works) · Art (1 works) · Artificial Intelligence (1 works) · Autoregressive integrated moving average (1 works) · Bayesian Modeling and Causal Inference (1 works) · Bayesian probability (1 works) · Business (1 works) · Computer Science (1 works) · Consumer Behavior in Brand Consumption and Identification (1 works)

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