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  1. 81

    Comparative analysis of methods for predicting train-induced vibrations by Wei-Lun Hsu, Wei-Bin Chen, Meng-Ting Hsieh

    Published 2025-06-01
    “…The accuracy of these methods was determined by evaluating their predictions against in-situ measurements of ground vibration levels induced by passing trains. …”
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    Article
  2. 82

    Evaluating the weight-adjusted waist index as a predictive tool for sarcopenia and mortality risk by Qingzheng Shen, Tianjing Zhou, Xiaodong Chen, Hafiz Muhammad Umar, Xinxin Yang, Xian Shen

    Published 2025-01-01
    “…WWI is linked to reduced muscle mass and strength; however, its efficacy for assessing sarcopenia and predicting adverse outcomes has yet to be validated. …”
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    Article
  3. 83

    Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

    Published 2024-03-01
    “…The objective of the research was to develop a predictive model for evaluating the rheological parameters of polymers using artificial intelligence methods by the example of polyvinyl chloride.Materials and Methods. …”
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    Article
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  8. 88

    An Evaluation Study on Investment Efficiency: A Predictive Machine Learning Approach by Weiwei Hao, Hongyan Gao, Zongqing Liu

    Published 2021-01-01
    “…This paper proposes a nonlinear autoregressive neural network (NARNET) method for the investment performance evaluation of state-owned enterprises (SOE). …”
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    Article
  9. 89

    Prediction and evaluation of residual life of casing with corrosion defects by JIA Aoyin, QIAN Liqin, WANG Jie, YANG Jingwei, WU Yaokun, WEI Mingji

    Published 2024-01-01
    “…Therefore, there is an urgent need to conduct residual life and safety evaluations of old oil field casings.MethodsBased on the von Mises equivalent stress yield criterion, a three-dimensional finite element calculation model of casings containing corrosion defects was established to analyze the influence law of corrosion pit depth and angle on casing stress distribution. …”
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    Article
  10. 90

    Performance evaluation of forecasting strategies for building occupancy prediction by Maniar Amine, Delahoche Laurent, Chrifi-Alaoui Larbi, Zegrari Mourad, Mohamed Hamlich, Marhic Bruno, Masson Jean-Baptiste

    Published 2024-01-01
    “…Our work compares single-step and multiple-steps prediction methods to analyze their impact on accuracy and reliability. …”
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    Article
  11. 91
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    Construction and Evaluation of Intimate Partner Homicide Prediction Model by LÜ Wei-ping, LIAO Xin-biao, REN Li-ju, KONG Xiao-ping, CHEN Yan-chang, CHANG Ya-fei, LUO Bin

    Published 2024-12-01
    “…The calibration curve tended to the ideal curve.ConclusionThe IPH prediction model based on forensic field indicators has good predictive ability, reliable accuracy and stability, and can provide a scientific method for criminal profiling.…”
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    Article
  13. 93
  14. 94

    Methods for early prediction of lactation flow in Holstein heifers by Vesna Gantner, Klemen Potočnik, Krešimir Kuterovac, Ranko Gantner, Boris Antunović

    Published 2010-12-01
    “…Regarding the evaluation measures based on prediction error amount (eavg±eSD), the lowest average error of daily milk yield prediction (less than 0.005 kg/day), as well as of lactation milk yield prediction (less than 50 kg/lactation (T1 time-period subgroup) and less than 30 kg/lactation (T2 time-period subgroup)); were determined when Wood’s nonlinear prediction method were applied. …”
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    Article
  15. 95

    Assessing computational methods of cis-regulatory module prediction. by Jing Su, Sarah A Teichmann, Thomas A Down

    Published 2010-12-01
    “…We also propose key considerations for the development and evaluation of future CRM-prediction methods.…”
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    Article
  16. 96

    Application of Machine Learning Methods for Gravity Anomaly Prediction by Katima Zhanakulova, Bakhberde Adebiyet, Elmira Orynbassarova, Ainur Yerzhankyzy, Khaini-Kamal Kassymkanova, Roza Abdykalykova, Maksat Zakariya

    Published 2025-05-01
    “…Obtaining accurate gravity data is challenging, particularly in inaccessible or sparsely covered regions. This study evaluates machine learning (ML) methods—Support Vector Regression (SVR), Gaussian Process Regression (GPR), and Ensemble of Trees—for predicting gravity anomalies in southeastern Kazakhstan and compares their effectiveness with traditional Kriging interpolation. …”
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    Article
  17. 97

    Factors, markers, diagnostic methods, and prediction of pregnancy loss by P. A. Koshulko, A. M. Kirsanova-Martynova, V. A. Buchnev, E. V. Ignatova, S. S. Kupriyanov, E. S. Melnikov, P. A. Solodov, A. M. Dorogova, G. D. Bagirova, A. V. Zubkov, A. D. Kolyvanova, E. A. Zubareva, A. D. Senatskaya

    Published 2021-07-01
    “…Aim. To evaluate the risk factors associated with pregnancy loss in the studied cohort; to establish the clinical relevance of leukocyte-derived proteolytic enzymes as biomarkers of pregnancy loss; to develop a diagnostic and prognostic approach for early detection of pregnancy loss.Materials and methods. …”
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    Article
  18. 98

    Evaluation of grafting compatibility and prediction modelling in Sapindus mukorossi by Lixian Wang, Yangmei Liao, Na Chen, Liming Jia, Zhong Chen

    Published 2025-04-01
    “…The study utilizes 15 Sapindus grafting combinations as research materials, assesses their survival rates and growth conditions, employs the CRITIC method to calculate weights, and develops a Sapindus grafting compatibility evaluation model. …”
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  19. 99
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    Level of Service Evaluation Method for Waterway Intersections by Yihua Liu, Xin Guo, Fei Lin, Nian Liu, Daiheng Ni

    Published 2024-11-01
    “…Consequently, this methodology not only enables transportation authorities to evaluate the effectiveness of traffic management strategies, such as route planning and traffic organization, but also helps predict the impact of potential improvement countermeasures.…”
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    Article