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  1. 2781

    Predictive Radiomics-Based Model for Recurrence-Free Survival After Curative Resection in Patients with Hepatocellular Carcinoma by Cui J, Lin Z, Huang X, Wang S, Guo J, Song J, Zhang S, Lv J, Qiu W

    Published 2025-08-01
    “…The Rad-score based composite prediction model showed good predictive performance with AUC of 0.765 and 0.920 for predicting 3 years RFS in the training and validation sets, respectively. …”
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    Article
  2. 2782

    Development of a Predictive Model for Hepatitis B Virus (HBV) Status Using Gender and Serum Biomarkers by Stanley Obinna Ezeadichie, Joy E. Ikekpeazu, Amechi Uchenna Katchy, Mima Wariso, Chioma Cordelia Ugwu, Osah Martins Onwuka

    Published 2025-04-01
    “…This study aims to develop and validate a predictive model for HBV status. By integrating several factors, this research seeks to improve diagnostic accuracy and contribute to more effective HBV management, particularly in resource-limited settings. …”
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    Article
  3. 2783
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  5. 2785

    Study of Model Predictive Control for Path-Following Autonomous Ground Vehicle Control under Crosswind Effect by Fitri Yakub, Aminudin Abu, Shamsul Sarip, Yasuchika Mori

    Published 2016-01-01
    “…We compared the controller based on both simple and complex bicycle models without and with the roll vehicle dynamics for different types of model predictive control manoeuvres. …”
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    Article
  6. 2786
  7. 2787

    Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model. by Mingfang Zhang, Raluca Chitic, Sander M Bohté

    Published 2025-06-01
    “…Additionally, neurons in the energy-optimised model show differential responses to expected versus unexpected stimuli, qualitatively similar to experimental evidence for predictive coding. …”
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    Article
  8. 2788
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  10. 2790

    Model Predictive Control Method with Constant Switching Frequency to Reduce Common-Mode Voltage for PMSM Drives by Hao Li, Shuo Chen, Xiang Wu, Guojun Tan

    Published 2018-01-01
    “…A model predictive control method to reduce the common-mode voltage (MPC-RCMV) with constant switching frequency for PMSM drives is proposed in this paper. …”
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    Article
  11. 2791
  12. 2792

    Delay-Range-Dependent Robust Constrained Model Predictive Control for Industrial Processes with Uncertainties and Unknown Disturbances by Huiyuan Shi, Ping Li, Limin Wang, Chengli Su, Jingxian Yu, Jiangtao Cao

    Published 2019-01-01
    “…A delay-range-dependent robust constrained model predictive control is proposed for discrete-time system with uncertainties and unknown disturbances. …”
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    Article
  13. 2793

    A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid by Errakkas Khalid, Kissaoui Mohammed, Lajouad Rachid, El Magri Abdelmounime, Atifi Youness, Khayat Ahmed

    Published 2025-01-01
    “…This study introduces a new method for controlling Direct Current (DC) freestanding microgrids using Model Predictive Control (MPC). It focuses on integrating photovoltaic systems, battery storage, and hydrogen energy storage. …”
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    Article
  14. 2794
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  16. 2796

    Development of a predictive model for systemic lupus erythematosus incidence risk based on environmental exposure factors by Qianjin Lu, Ying Zhang, Cheng Zhao, Yu Lei, Hui Jin, Qilin Li

    Published 2024-11-01
    “…Currently, there are few predictive models for SLE that takes into account the impact of occupational and living environmental exposures. …”
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    Article
  17. 2797

    Connectome-based predictive modeling of handwriting and reading using task-evoked and resting-state functional connectivity by Junjun Li, Dai Zhang, Huan Ren, Ke Zhou, Yang Yang

    Published 2025-08-01
    “…In this study, we employed a connectome-based predictive modeling (CPM) approach to predict individual differences in handwriting skills using handwriting task-related and resting-state functional magnetic resonance imaging (fMRI) data. …”
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    Article
  18. 2798

    Predictive modeling of PMMA-based polymer composites reinforced with hydroxyapatite: a machine learning and FEM approach by Rohit Kumar Singh, Khyati Verma, G. C. Mohan Kumar

    Published 2025-07-01
    “…This research highlights the effectiveness of integrating micromechanical modeling with machine learning to improve the prediction and comprehension of composite behavior, thereby offering valuable insights for the design and application of advanced materials.…”
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    Article
  19. 2799
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