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  1. 1761

    A Novel Short-Range Prediction Model for Railway Track Irregularity by Peng Xu, Rengkui Liu, Quanxin Sun, Futian Wang

    Published 2012-01-01
    “…In this paper, based on track irregularity evolution characteristics, a Short-Range Prediction Model was developed to this aim and is abbreviated to TI-SRPM. …”
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    Article
  2. 1762

    Development and Validation of a Dynamic Prediction Model for Massive Hemorrhage in Trauma by Chengyu Guo, Maolin Tian, Minghui Gong, Fei Pan, Hui Han, Chunping Li, Tanshi Li

    Published 2022-01-01
    “…This study aimed to develop and validate dynamic prediction models for massive hemorrhage in trauma patients. …”
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    Article
  3. 1763
  4. 1764

    Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction by Nor Irwin Basir, Kathlyn Kaiyun Tan, Danny Hartanto Djarum, Zainal Ahmad, Dai-Viet N. Vo, Zhang Jie

    Published 2025-01-01
    “…The findings confirm that both autoencoder models enhance API prediction accuracy, with the deep sparse autoencoder emerging as the optimal model, highlighting the potential of deep learning in improving air quality prediction. …”
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    Article
  5. 1765

    Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

    Published 2025-02-01
    Subjects: “…coronary disease|machine learning|risk prediction model|logistic regression|k-nearest neighbor|support vector machine|decision tree|xgboost…”
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    Article
  6. 1766
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  10. 1770
  11. 1771

    Hydraulic Erosion Rate of Reinforced Tailings: Laboratory Investigation and Prediction Model by Xuanyi Chen, Xiaofei Jing, Hai Cai, Yijun Wang, Luhua Ye

    Published 2021-01-01
    “…This model can provide a reference for the prediction of overtopping-induced erosion failure of the reinforced tailings dam.…”
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    Article
  12. 1772

    Attack scenarios reasoning,hypothesizing and predicting based on capability transition model by TIAN Zhi-hong1, ZHANG Wei-zhe1, ZHANG Yong-zheng2, ZHANG Hong-li 1, LI Yang2, JIANG Wei1

    Published 2007-01-01
    “…To construct attack scenarios and predict intrusion intents automatically,a real-time alert correlation approach based on capability transition model was proposed.By highly abstracting the reasoning evidences,the process complexity is effectively reduced.Experiment results on the DARPA2000 IDS test dataset indicate that the method is effective and efficient.…”
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  13. 1773

    Predicting the Time-dependent Mechanics of Concrete Based on a Multiscale Model by Shijun Wang, Changqing Du, Mingqing Gu, Chunlin Pan, Teng Tong

    Published 2022-01-01
    “…To accurately predict the time-dependent deformation of concrete, a multiscale model with its focus pinned on mesoscale is proposed here to break down the constitutive law of concrete to the mechanics of its different constituent phases. …”
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  14. 1774

    Prediction Model of Music Popular Trend Based on NNS and DM Technology by Yichen Xu, Mingxun Wang, Hao Chen, Fan Hu

    Published 2022-01-01
    “…Therefore, it can be proved that the model proposed in this paper is more suitable for predicting the trend of music popularity. …”
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    Article
  15. 1775

    LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

    Published 2025-01-01
    “…In this work, a long short-term memory (LSTM)-based model, LSTM+MA, is proposed to predict the IRI of pavements using the time-series data extracted from the long-term pavement performance (LTPP) dataset. …”
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  16. 1776
  17. 1777

    Employing the Coupled EUHFORIA‐OpenGGCM Model to Predict CME Geoeffectiveness by Anwesha Maharana, W. Douglas Cramer, Evangelia Samara, Camilla Scolini, Joachim Raeder, Stefaan Poedts

    Published 2024-05-01
    “…We further employ the dynamic time warping (DTW) technique to assess the model performance in predicting Dst. The main highlight of this study is to use EUHFORIA simulated time series to predict the Dst and auroral indices 1–2 days in advance, as compared to using the observed solar wind data at L1, which only provides predictions 1–2 hr before the actual impact.…”
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  18. 1778

    Depth prediction of urban waterlogging based on BiTCN-GRU modeling. by Quan Wang, Mingjie Tang, Pei Shi

    Published 2025-01-01
    “…Compared to models such as GBDT, LSTM, and TCN-LSTM, the BiTCN-GRU model exhibits higher accuracy in predicting waterlogging depth. …”
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  19. 1779
  20. 1780

    A lightweight hybrid model for accurate ammonia prediction in pig houses by Jacqueline Musabimana, Qiuju Xie, Hong Zhou, Ping Zheng, Honggui Liu, Tiemin Ma, Jiming Liu

    Published 2025-12-01
    “…The model improves accuracy compared to other state-of-the-art and ability for NH3 prediction.…”
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