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  1. 161
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    Predicting the Phenology of Herbivorous Insects by Zimo Yang, Elise Woodruff, David Held, Nate B. Hardy

    Published 2025-07-01
    “…Here, with multilevel Bayesian models, we performed a comparative analysis of 601 published herbivorous insect phenology models. …”
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    Article
  3. 163

    Comparing the Estimation Power of Machine Learning Models and Statistical Models in Predicting Profit Component Changes and Selecting the Optimal Model by Maryam Izadi, Ali Ashtab, Akbar Zavari Rezaei

    Published 2025-03-01
    “…It was also found that the average predictive accuracy of statistical models for all three profit components varies from 76% to 83%. …”
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    Article
  4. 164

    Advanced predictive modeling for enhanced mortality prediction in ICU stroke patients using clinical data. by Armin Abdollahi, Negin Ashrafi, Xinghong Ma, Jiahao Zhang, Daijia Wu, Tongshou Wu, Zizheng Ye, Maryam Pishgar

    Published 2025-01-01
    “…We developed a deep learning model to assess mortality risk and implemented several baseline machine learning models for comparison. …”
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    Article
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    Predictive Model to Analyse Real and Synthetic Data for Learners' Performance Prediction Using Regression Techniques by SHABNAM ARA S.J, Tanuja R, Manjula S.H

    Published 2025-03-01
    “…The models are evaluated using precision metrics to assess their predictive accuracy. …”
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    Article
  8. 168

    Seasonal Prediction of Atmospheric Rivers in the Western North Pacific Using a Seasonal Prediction Model by Yuya Baba

    Published 2025-05-01
    “…ABSTRACT Seasonal prediction of atmospheric rivers (ARs) in the western north Pacific (WNP) is examined using a seasonal prediction model with and without atmospheric initialisation. …”
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  9. 169

    Development of a lung immune prognostic index-based nomogram model for predicting overall survival and immune-related adverse events in non-small cell lung cancer patients treated with sintilimab by Jian Xu, Tingting Peng, Kaikai Fan, Yuxiao Dou, Lingti Kong, Ran Sang

    Published 2025-05-01
    “…Similarly, the irAEs model showed robust performance (AUCs 0.754-0.835 for 1–2 year predictions; C-index: training=0.805, internal validation=0.825, external validation=0.775). …”
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  10. 170

    Predictive modeling for rework detection in sustainable building projects by AbdulLateef Olanrewaju, Kafayat Shobowale

    Published 2025-07-01
    “…Six machine learning models that comprised support vector machine, Adaboost, Logistic regression, a K-nearest neighbour, neural network and random forest classifier were trained to predict the occurrence of reworks in sustainable buildings. …”
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  11. 171

    Comparisons of Faulting-Based Pavement Performance Prediction Models by Weina Wang, Yu Qin, Xiaofei Li, Di Wang, Huiqiang Chen

    Published 2017-01-01
    “…This paper reviews performance prediction models and JPCP faulting models that have been used in past research. …”
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    Article
  12. 172
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    Electricity Demand Prediction by a Transformer-Based Model by Ahmed Mohammed Mahmood, Musaddak Maher Abdul Zahra, Waleed Hamed, Bashar S. Bashar, Alaa Hussein Abdulaal, Taif Alawsi, Ali Hussein Adhab

    Published 2022-12-01
    “…In our approach, a transformer-based model is used for the prediction of electricity demand on data collected from the regional facilities in Iraq. …”
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    Article
  14. 174

    A Predictive Models for Advertisement Campaign Budget Allocation by Iqra kousar

    Published 2025-03-01
    Subjects: “…Predictive Models…”
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  15. 175

    An Improved KNN-Based Slope Stability Prediction Model by Shuai Huang, Mingming Huang, Yuejun Lyu

    Published 2020-01-01
    “…An accurate slope prediction model is important for slope reinforcement before the disaster. …”
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    Article
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    A Predictive Models for Advertisement Campaign Budget Allocation by Iqra kousar

    Published 2025-03-01
    Subjects: “…Predictive Models…”
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  19. 179
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    PNN-based Rockburst Prediction Model and Its Applications by Yu Zhou, Tingling Wang

    Published 2017-07-01
    “…In this paper, a novel PNN-based rock burst prediction model is proposed to determine whether rock burst will happen in the underground rock projects and how much the intensity of rock burst is. …”
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    Article