Showing 1,281 - 1,300 results of 16,799 for search '"Prediction', query time: 0.09s Refine Results
  1. 1281
  2. 1282

    A phylogenetic epidemiology approach to predicting the establishment of multi-host plant pests by Shannon Colleen Lynch, Edeli Reyes-Gonzalez, Emily L. Bossard, Karen S. Alarcon, Natalie L. R. Love, Allan D. Hollander, Beatriz E. Nobua-Behrmann, Gregory S. Gilbert

    Published 2025-01-01
    “…However, most pests attack multiple host species; the challenge is predicting which communities are most vulnerable to infestation. …”
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    Article
  3. 1283

    A Data-Driven Method for Predicting the Cutterhead Torque of EPB Shield Machine by Kairong Hong, Fengyuan Li, Zhenjian Zhou, Feng Li, Xunlin Zhu

    Published 2021-01-01
    “…The prediction of cutterhead torque of earth pressure balance (EPB) shield machine is mainly studied. …”
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    Article
  4. 1284
  5. 1285

    Speech-based personality prediction using deep learning with acoustic and linguistic embeddings by Martin Lukac

    Published 2024-12-01
    “…Abstract This study introduces a novel method for predicting the Big Five personality traits through the analysis of speech samples, advancing the field of computational personality assessment. …”
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    Article
  6. 1286
  7. 1287

    Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness by Hui Li, Hui Li, Hui Li, Linghui Dong, Linghui Dong, Linghui Dong, Wenlong Su, Wenlong Su, Ying Liu, Ying Liu, Zhiqing Tang, Zhiqing Tang, Xingxing Liao, Xingxing Liao, Junzi Long, Junzi Long, Xiaonian Zhang, Xinting Sun, Hao Zhang, Hao Zhang, Hao Zhang, Hao Zhang

    Published 2025-02-01
    “…Predictive models constructed for each component using support vector machine revealed that microstates had the highest AUC (0.95), followed by MMN and P3a (0.65), and finally spectral power (0.05).DiscussionThis study provides preliminary evidence for the application of microstate-based multiple EEG features for prognosis prediction in pDoC.Clinical trial registrationchictr.org.cn, identifier ChiCTR2200064099.…”
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    Replication, a Hallmark of Good Science: Unraveling the Factors That Predict Replication Success by Grant, Malcolm, Snook, Brent, Button, Cathryn

    Published 2025-02-01
    “…In a Monte Carlo simulation of the research process, we examined several characteristics of research studies that might predict replication success (i.e., when both studies show similar effect sizes), and when estimated effect sizes reflect true effects. …”
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  13. 1293

    Subsidence Prediction of Overburden Strata and Surface Based on the Voussoir Beam Structure Theory by Changchun He, Jialin Xu

    Published 2018-01-01
    “…Therefore, the reasonable method to predict the surface subsidence is based on the whole subsidence formulae of the VBS. …”
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    Article
  14. 1294
  15. 1295

    Rule-Based Knowledge Acquisition Method for Promoter Prediction in Human and Drosophila Species by Wen-Lin Huang, Chun-Wei Tung, Chyn Liaw, Hui-Ling Huang, Shinn-Ying Ho

    Published 2014-01-01
    “…Various methods have been developed but few methods investigate the effectiveness of sequence-based features in promoter prediction. This study proposes a knowledge acquisition method (named PromHD) based on if-then rules for promoter prediction in human and Drosophila species. …”
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    Article
  16. 1296

    Novel models based on machine learning to predict the prognosis of metaplastic breast cancer by Yinghui Zhang, Wenxin An, Cong Wang, Xiaolei Liu, Qihong Zhang, Yue Zhang, Shaoqiang Cheng

    Published 2025-02-01
    “…There remains a significant lack of precise predictive models available for use in clinical practice. …”
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    Article
  17. 1297

    Prediction of the remaining useful life of a milling machine using machine learning by Abbas Al-Refaie, Majd Al-atrash, Natalija Lepkova

    Published 2025-06-01
    “…Hence, an adequate predictive maintenance (PdM) strategy for the cutting tools becomes necessary. …”
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    Article
  18. 1298

    Prediction of Protein-Protein Interaction Strength Using Domain Features with Supervised Regression by Mayumi Kamada, Yusuke Sakuma, Morihiro Hayashida, Tatsuya Akutsu

    Published 2014-01-01
    “…The prediction results showed that both SVR and RVM with our proposed features outperformed the best existing method.…”
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    Article
  19. 1299

    Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network by Hao Peng, Han Wu, Junwu Wang

    Published 2020-01-01
    “…The scientific and effective prediction of the water consumption of construction engineering is of great significance to the management of construction costs. …”
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    Article
  20. 1300

    Firefly Optimization Algorithm for the Prediction of Uplift due to High-Pressure Jet Grouting by Wukui Dai, Li Liang, Bingji Zhang

    Published 2020-01-01
    “…Finally, it is proven that the prediction result meets the requirement of the prediction in advance by statistical data.…”
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    Article