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    Blood-Based Prognostic Prediction Model for Glioblastoma: Construction and Validation by Gao S, Liu Y, Kong J, Huangfu L, Yang Y, Cui H, Sun X, Shi S, Yang D

    Published 2025-04-01
    “…A Risk Score (RS) was computed from the CHPSS, and a nomogram model was constructed to predict patients’ overall survival (OS) based on the RS. …”
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  4. 804

    Traffic flow prediction based on spatiotemporal encoder-decoder model. by Yuanming Ding, Wei Zhao, Lin Song, Chen Jiang, Yunrui Tao

    Published 2025-01-01
    “…Specifically, on the PeMSD8 dataset, the model achieves reductions in MAE, RMSE, and SMAPE by 7.9%, 2.1%, and 16.9%, respectively, compared to the AMRGCN model for 1-hour predictions. …”
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  5. 805
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    An Ensemble Learning Model for Short-Term Passenger Flow Prediction by Xiangping Wang, Lei Huang, Haifeng Huang, Baoyu Li, Ziyang Xia, Jing Li

    Published 2020-01-01
    “…Finally, the prediction results of the submodels are compared with those of the integrated model to verify the superiority of the integrated model. …”
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    Molecular Modelling and Prediction of the Physicochemical Properties of Polyols in Aqueous Solution by Fontenele Maria, Dumouilla Vincent, Boit Baptiste, Dussap Claude-Gilles

    Published 2025-01-01
    “…Roquette is a producer of plant-based ingredients. Modelling, simulation, and predictive thermodynamic models are the tools that allow for the characterization of the physicochemical properties of material flows in order to optimize and control their industrial processes. …”
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  8. 808

    Personalised regional modelling predicts tau progression in the human brain. by Pavanjit Chaggar, Jacob W Vogel, Alexa Pichet Binette, Travis B Thompson, Olof Strandberg, Niklas Mattsson-Carlgren, Linda Karlsson, Erik Stomrud, Saad Jbabdi, Stefano Magon, Gregory Klein, with the Alzheimer’s Disease Neuroimaging Initiative, Oskar Hansson, Alain Goriely

    Published 2025-07-01
    “…Further, we demonstrate that the model can predict accurately subject-specific longitudinal tau accumulation at the regional level, potentially providing a new clinical tool to monitor and classify patient disease progression.…”
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  9. 809

    A New Prediction Model of Dam Deformation and Successful Application by Shuangping Li, Bin Zhang, Meng Yang, Senlin Li, Zuqiang Liu

    Published 2025-03-01
    “…In most dam deformation monitoring practices, some single-point models do not consider the spatial correlation, and the traditional regression models do not consider the nonlinear relationship between the environmental quantity and the deformation quantity, resulting in poor prediction accuracy. …”
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    A New Hybrid Model for Underwater Acoustic Signal Prediction by Guohui Li, Wanni Chang, Hong Yang

    Published 2020-01-01
    “…The experimental results show that the proposed new hybrid model can provide enhanced accuracy with the reduction of prediction error compared with other existing prediction methods.…”
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    Dynamic Modeling for Prediction of Amino Acid Requirements in Broiler Diets by Guangju Wang, Xin Zhao, Mengjie Xu, Zhenwu Huang, Jinghai Feng, Minhong Zhang

    Published 2024-12-01
    “…This study developed a dynamic model to predict standardized ileal digestible amino acid requirements throughout broiler growth using a factorial approach and the comparative slaughter technique, considering maintenance, growth, and gender factors. …”
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    Flight delay stacking ensemble prediction model for severe weather by SUN Yue, DING Jianli

    Published 2025-03-01
    “…Weather factors, as the primary factors affecting flight delays, have an important impact on flight delay prediction. Confronting the severe weather, multi-classification prediction of flight delay duration was made, and a Stacking-based integrated flight delay prediction model was proposed for the problems of low prediction accuracy and poor stability of traditional single model. …”
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  17. 817

    Modeling of Complex Life Cycle Prediction Based on Cell Division by Fucheng Zhang, Yahui Wang, De Zhang

    Published 2017-01-01
    “…At present, the life prediction methods of the equipment are equipment life prediction based on condition monitoring, combined forecasting model, and driven data. …”
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    The effect of creep damage model formulation on crack path prediction by Valery Shlyannikov, Andrey Tumanov

    Published 2019-04-01
    “…Special attention has been addressed in the present study to the influence of the creep damage model formulation on the crack path prediction. To evaluate the significance of dominating fracture mechanism a comparison of the cases for pure mode II is considered. …”
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