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  1. 801

    Adaptive dynamic prediction model of mining subsidence aided by measured data by Yuanfei Chen, Jianfeng Zha, Lei Wang

    Published 2025-04-01
    “…The average relative RMSE of predicted dynamic subsidence for each period is 4.3%, markedly lower than the 9.1% achieved by traditional prediction models. …”
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    Article
  2. 802

    Machine Learning Techniques to Model and Predict Airflow Requirements in Underground Mining by Maria Karagianni, Andreas Benardos

    Published 2023-10-01
    “…The case examined is about underground bauxite mining operations, the ventilation characteristics and requirements of which have been firstly developed and modelled into a validated digital twin. With this twin model, several scenarios are developed and evaluated and more importantly data are gathered, allowing for the training of the ML algorithms used to assess and predict the required ventilation airflow, taking into account air quality data, the number of workers, and machine fleet.…”
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  3. 803

    An Improved CEEMDAN-FE-TCN Model for Highway Traffic Flow Prediction by Heyao Gao, Hongfei Jia, Lili Yang

    Published 2022-01-01
    “…A hybrid predicting model based on deep learning is proposed in this paper, including three steps. …”
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  4. 804
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    ECONOMIC AND MATHEMATICAL MODEL OF PREDICTION OF DEVIATION IN MOSCOW SUBURBAN RAILWAY COMPLEX by Dmitry I. Valdman

    Published 2016-08-01
    “…The article deals with the theoretical aspects of mathematical modeling and forecasting. Additionally, it describes a mathematical model for forecasting the number of incidents, depending on the number of different types of planned works with one and the same subject in service facilities, validation of the model via substituting of the data and comparing the predicted values calculated by the model and the actual values for the same periods.…”
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  6. 806

    Skeletal age prediction models by maturity status in male soccer players by Luis Alberto Flores, Christopher McLaren-Towlson, Lidia G. De León, Fabiana Bonito, Pedro Mil-Homens, Iván Peña-González, Maria Isabel Fragoso

    Published 2025-05-01
    “…The prediction models are a reliable and cost-effective method to estimate SA in male soccer players.…”
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  7. 807
  8. 808

    Toward long-range ENSO prediction with an explainable deep learning model by Qi Chen, Yinghao Cui, Guobin Hong, Karumuri Ashok, Yuchun Pu, Xiaogu Zheng, Xuanze Zhang, Wei Zhong, Peng Zhan, Zhonglei Wang

    Published 2025-07-01
    “…Its evolution is governed by intricate air-sea interactions, posing significant challenges for long-term prediction. In this study, we introduce CTEFNet, a multivariate deep learning model that synergizes convolutional neural networks and transformers to enhance ENSO forecasting. …”
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  9. 809
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    Physical fitness and frailty index in developing biological age prediction model by Masoud Golpayegany, Saba Amiri, Abbas Haghparast, Maryam Nourshahi

    Published 2024-06-01
    “…This research aimed to develop a comprehensive BA prediction model integrating genetic and epigenetic factors. …”
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  11. 811

    Developing and validating machine learning models to predict next-day extubation by Samuel W. Fenske, Alec Peltekian, Mengjia Kang, Nikolay S. Markov, Mengou Zhu, Kevin Grudzinski, Melissa J. Bak, Anna Pawlowski, Vishu Gupta, Yuwei Mao, Stanislav Bratchikov, Thomas Stoeger, Luke V. Rasmussen, Alok N. Choudhary, Alexander V. Misharin, Benjamin D. Singer, G. R. Scott Budinger, Richard G. Wunderink, Ankit Agrawal, Catherine A. Gao, NU SCRIPT Study Investigators

    Published 2025-07-01
    “…We used three data encoding/imputation strategies and built XGBoost, LightGBM, logistic regression, LSTM, and RNN models to predict next-day extubation. We compared model predictions and actual events to examine how model-driven care might have differed from actual care. …”
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    Article
  12. 812

    External validation of risk prediction models for post-stroke mortality in Berlin by Jessica L Rohmann, Tobias Kurth, Heinrich J Audebert, Marco Piccininni, Lukas Reitzle

    Published 2025-06-01
    “…Objectives Prediction models for post-stroke mortality can support medical decision-making. …”
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  13. 813

    Interformer: an interaction-aware model for protein-ligand docking and affinity prediction by Houtim Lai, Longyue Wang, Ruiyuan Qian, Junhong Huang, Peng Zhou, Geyan Ye, Fandi Wu, Fang Wu, Xiangxiang Zeng, Wei Liu

    Published 2024-11-01
    “…Abstract In recent years, the application of deep learning models to protein-ligand docking and affinity prediction, both vital for structure-based drug design, has garnered increasing interest. …”
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  14. 814

    Prediction of permeability of amended soil using ensembled artificial intelligence models by Ankit Kumar, Rohit Ahuja

    Published 2025-04-01
    “…Through comparative analysis, the Gradient Boost with Decision Tree (GB-DTR) model is found to be best-performed model, with R2 = 0.9919. …”
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  15. 815

    A Predictive Model for Disseminated Intravascular Coagulopathy in Sepsis: An Observational Study by Fu Y, He Y, Zheng C, Zeng J, Ou H

    Published 2024-10-01
    “…With a model score >− 2.12, the sensitivity for predicting DIC was 84.4%, and the specificity was 75.0%.Conclusion: Our study introduces a predictive model for DIC detection in sepsis patients, emphasizing the need for clinicians to focus on patients with high model scores for timely intervention.Keywords: sepsis, risk model, disseminated intravascular coagulopathy, platelet, mortality…”
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  16. 816

    Research on rock strength prediction model based on machine learning algorithm by Xiang Ding, Mengyun Dong, Wanqing Shen

    Published 2024-12-01
    “…Eight supervised learning algorithms were used to learn the rock compressive strength test data, and eight rock compressive strength prediction models considering multiple factors were established to obtain a better method of predicting rock compressive strength. …”
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