Showing 561 - 580 results of 55,072 for search '"model"', query time: 0.15s Refine Results
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    Acupuncture Induces Reduction in Limbic-Cortical Feedback of a Neuralgia Rat Model: A Dynamic Causal Modeling Study by Zhen-Zhen Ma, Ye-Chen Lu, Jia-Jia Wu, Xiang-Xin Xing, Xu-Yun Hua, Jian-Guang Xu

    Published 2020-01-01
    “…Based on those results, several regions including AMY, S1, and h were recruited as ROI in dynamic causal modeling (DCM) analysis comparing evidence for different neuronal hypotheses describing the propagation of noxious stimuli in regions of interest and horizontal comparison of effective connections between the model and electroacupuncture groups. …”
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    Modeling and Simulation of Traffic Congestion for Mixed Traffic Flow with Connected Automated Vehicles: A Cell Transmission Model Approach by Yunxia Wu, Yalan Lin, Rong Hu, Zilan Wang, Bin Zhao, Zhihong Yao

    Published 2022-01-01
    “…Secondly, the fundamental diagram under different penetration rates of CAVs is derived based on car-following models. Then, the cell transmission model (CTM) of mixed traffic flow is developed based on the classical CTM and fundamental diagram of mixed traffic flow. …”
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    Utilization of a Lightweight 3D U-Net Model for Reducing Execution Time of Numerical Weather Prediction Models by Hyesung Park, Sungwook Chung

    Published 2025-01-01
    “…The Korea Meteorological Administration (KMA) adopted the Met Office Global Seasonal Forecasting System version 6 (GloSea6) NWP model from the UK and runs it on a supercomputer. …”
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    Modeling Count Outcomes from HIV Risk Reduction Interventions: A Comparison of Competing Statistical Models for Count Responses by Yinglin Xia, Dianne Morrison-Beedy, Jingming Ma, Changyong Feng, Wendi Cross, Xin Tu

    Published 2012-01-01
    “…In particular, the popular Poisson log-linear model is not appropriate for modeling such outcomes. …”
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    Modeling Injury Severity for Nighttime and Daytime Crashes by Using Random Parameter Logit Models Accounting for Heterogeneity in Means and Variances by Chenzhu Wang, Ping Zhang, Fei Chen, Jianchuan Cheng

    Published 2022-01-01
    “…The goodness-of-fit and predictive measures highlight the better performance of the proposed models relative to standard models, as the proposed models reduce the unobserved heterogeneity and yield higher precision. …”
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    Geometric Brownian Motion-Based Time Series Modeling Methodology for Statistical Autocorrelated Process Control: Logarithmic Return Model by Siaw Li Lee, Chin Ying Liew, Chee Khium Chen, Li Li Voon

    Published 2022-01-01
    “…Autoregressive integrated moving average (ARIMA) model has been one of the well-established time series modeling approaches that is extensively used for this purpose and is widely recognized for its accuracy and efficiency. …”
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