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  1. 1441
  2. 1442

    A Comparative Study of Machine Learning Models for Accurate E-Waste Prediction by Mohammed Algafri, Mohammed Sayad, Mohammad A.M. Abdel-Aal, Ahmed M. Attia

    Published 2025-06-01
    “…Future research should explore hybrid models and real-time forecasting to enhance predictive accuracy and sustainability.…”
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    Article
  3. 1443

    Probabilistic Prediction and Assessment of Train-Induced Vibrations Based on Mixture Density Model by Ziyu Tao, Lingshan He, Desi Tu, Chao Zou

    Published 2024-10-01
    “…This study presents a probabilistic prediction method for train-induced vibrations by combining a deep neural network (DNN) with the mixture density model in a cascade fashion, referred to as the DNN-RMDN model in this paper. …”
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    Article
  4. 1444

    Intraoperative predictive model for the detection of metastasis in non-sentinel axillary lymph nodes by José Antonio García-Mejido, Miguel Sanchez-Sevilla, Rocio García-Jimenez, Ana Fernández-Palacín, José Antonio-Sainz

    Published 2022-04-01
    “…Background: To design a software-applied predictive model relating patients clinical and pathological traits associated with sentinel lymph-node total tumor load to individually establish the need to perform an axillary lymph-node dissection. …”
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    Article
  5. 1445
  6. 1446

    Rockburst Prediction Based on the KPCA-APSO-SVM Model and Its Engineering Application by Yuefeng Li, Chao Wang, Jiankun Xu, Zonghong Zhou, Jianhui Xu, Jianwei Cheng

    Published 2021-01-01
    “…In addition, the trained prediction model was applied to five rockburst engineering cases and compared with the BP neural network model, SVM model, and APSO-SVM model. …”
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    Article
  7. 1447
  8. 1448

    Optimizing Energy Forecasting Using ANN and RF Models for HVAC and Heating Predictions by Khaled M. Salem, Javier M. Rey-Hernández, A. O. Elgharib, Francisco J. Rey-Martínez

    Published 2025-06-01
    “…The performances of the two models are described in detail to show the effectiveness of each of them.…”
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    Article
  9. 1449

    Methods and Evaluation of AI-Based Meteorological Models for Zenith Tropospheric Delay Prediction by Si Xiong, Jiamu Mei, Xinchuang Xu, Ziyu Shen, Liangke Huang

    Published 2024-11-01
    “…Additionally, seasonal variations and station altitude were found to influence the accuracy of ZTD predictions, emphasizing the need for detailed modeling in complex climatic zones.…”
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  10. 1450

    Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

    Published 2025-01-01
    “…The worldwide health epidemic of anaemia which is a condition with low levels of red blood cells or haemoglobin requires accurate prediction models to act promptly and improve patient outcomes because it is widespread and has different causes. …”
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    Article
  11. 1451

    Insolvency and financial health prediction model for the listed companies on the Indonesia Stock Exchange by Khaira Amalia Fachrudin

    Published 2021-05-01
    “… An insolvency and financial health prediction model is an important warning to decision-makers. …”
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    Article
  12. 1452
  13. 1453

    Disturbance Rejection and Uncertainty Analysis in Wind Turbines Using Model Predictive Control by Alok Kumar, Atul Kelkar

    Published 2025-05-01
    “…In our work, we propose a Model Predictive Control (MPC) framework with quadratic cost functions, incorporating control input and state constraints to mitigate the challenge of disturbance rejection and uncertainty analysis for the wind turbine operation. …”
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    Article
  14. 1454
  15. 1455

    Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

    Published 2025-03-01
    “…Stroke is a critical condition marked by the death of brain cells due to inadequate blood flow, necessitating improved predictive models for stroke lesions. The accuracy and flexibility required to forecast and classify stroke lesions is lacking in current approaches, which compromise patient outcomes. …”
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    Article
  16. 1456

    Improving prediction accuracy in agricultural markets through the CIMA-AttGRU model. by Yankun Jiang, Jinhui Liu, Xiaotuan Li

    Published 2024-01-01
    “…This model uniquely integrates Collective Intrinsic Mode Analysis (CIMA) with an Attention-Gated Recurrent Unit (AttGRU), leveraging the strengths of both techniques to enhance predictive accuracy and adaptability. …”
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    Article
  17. 1457
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    A quantitatively interpretable model for Alzheimer’s disease prediction using deep counterfactuals by Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk

    Published 2025-04-01
    “…Deep learning (DL) for predicting Alzheimer’s disease (AD) has provided timely intervention in disease progression yet still demands attentive interpretability to explain how their DL models make definitive decisions. …”
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    Article
  19. 1459

    Local Functional Coefficient Autoregressive Model for Multistep Prediction of Chaotic Time Series by Liyun Su, Chenlong Li

    Published 2015-01-01
    “…Thirdly, we use the nearest neighbor points to get a LFAR model. The proposed model’s parameters are selected by modified generalized cross validation (GCV) criterion. …”
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  20. 1460