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  1. 141

    Development of Bankruptcy Prediction Model for Latvian Companies by Arnis Stasko, Ilze Birzniece, Girts Kebers

    Published 2021-07-01
    “…We propose an extended company performance prediction model that considers other factors that influence distress risk, e.g., changes in regulation and other environmental factors. …”
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    Article
  2. 142
  3. 143

    A Mode Selected Mixed Logic Dynamic Model and Model Predictive Control of Buck Converter by Lei Jiang, Enliang Liu, Ding Liu

    Published 2020-01-01
    “…In establishing the hybrid system model, the factors such as the inductor current are neglected, and the Model Predictive Control (MPC) is used to switch the most favorable working state of the control target. …”
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    Article
  4. 144
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  6. 146

    Prediction of chronic postsurgical pain in adults: a protocol for multivariable prediction model development by Christian Fynbo Christiansen, Lone Nikolajsen, Simon Haroutounian, Nicholas Papadomanolakis-Pakis

    Published 2021-12-01
    “…CPSP often interferes with activities of daily living and may have a negative impact on quality of life, emotional and physical well-being. Clinical prediction models can help clinicians target preventive strategies towards patients at high-risk of CPSP. …”
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    Article
  7. 147

    Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners by Liangliang Xiang, Yaodong Gu, Kaili Deng, Zixiang Gao, Vickie Shim, Alan Wang, Justin Fernandez

    Published 2025-05-01
    “…Data from fifty participants, categorized as rearfoot and non-rearfoot strikers, were used to create personalized 3D foot models and finite element simulations. Two nine-axis inertial sensors captured three-axis acceleration data during running. …”
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    Article
  8. 148

    Model Predictive Control Using Stochastic Motion Prediction of Surrounding Vehicles in Uncontrolled Intersections by Sunyub Park, Yonghwan Jeong

    Published 2024-01-01
    “…This paper presents an autonomous driving algorithm for uncontrolled intersections based on Model Predictive Control (MPC) and Interacting Multiple Model (IMM) filters, proposing an innovative approach to addressing human driver uncertainty in mixed traffic scenarios. …”
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  11. 151

    Ground data analysis for PM2.5 Prediction using predictive modeling techniques by Elham Nourmohammad, Yousef Rashidi

    Published 2025-03-01
    “…Conclusion: The findings highlight the importance of model selection and feature engineering in accurately predicting PM2.5 levels. …”
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  12. 152
  13. 153

    Dynamic selection of optimal tunnel convergence prediction model for a probabilistic deformation prediction by Peng ZENG, Zhiqiang ZHANG, Tianbin LI, Hao Tang, Zulong YAN, Lubo MENG

    Published 2024-11-01
    “…Traditional single prediction models struggle to adapt to the dynamic nature of tunnel convergence, limiting their predictive accuracy. …”
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    Article
  14. 154
  15. 155

    Enhanced Prediction and Uncertainty Modeling of Pavement Roughness Using Machine Learning and Conformal Prediction by Sadegh Ghavami, Hamed Naseri, Farzad Safi Jahanshahi

    Published 2025-06-01
    “…Pavement performance models are considered a key element in pavement management systems since they can predict the future condition of pavements using historical data. …”
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    Article
  16. 156

    Vehicle Trajectory Prediction Algorithm Based on Hybrid Prediction Model with Multiple Influencing Factors by Tao Wang, Yiming Fu, Xing Cheng, Lin Li, Zhenxue He, Yuchi Xiao

    Published 2025-02-01
    “…In light of this limitation, we propose a vehicle trajectory prediction algorithm predicated on a hybrid prediction model. …”
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  17. 157
  18. 158

    Emulsion stability prediction tool by Nor H. Halim, Sai R. Panuganti, Sanjay Misra, Jamal M.B.M. Ibrahim

    Published 2023-06-01
    “…A faster and safer alternative is by running a mathematical model. However, because of the complexity of emulsion system, an equation from first principles for predicting emulsion stability is not available even with such vast work in the literature. …”
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  19. 159
  20. 160

    Predictive Modeling for Cardiovascular Disease in Patients Based on Demographic and Biometric Data by Abayomi Danlami Babalola, Kayode Francis Akingbade, Daniel Olakunle

    Published 2024-04-01
    “…The results demonstrate that all three models achieve accuracy performance in predicting CVD events, with AUC values ranging from 0.85 to 0.92. …”
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    Article