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  1. 881

    A Quality Control Method Based on an Improved Random Forest Algorithm for Surface Air Temperature Observations by Xiaoling Ye, Xing Yang, Xiong Xiong, Yunpei Shen, Man Hao, Rong Gu

    Published 2017-01-01
    “…The ARF method incorporates the optimization ability of the artificial fish swarm algorithm and the random forest regression function to provide quality control for multiple surface air temperature stations. …”
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    Article
  2. 882

    Modeling of the Complex Modulus of Asphalt Mastic with Biochar Filler Based on the Homogenization and Random Aggregate Distribution Methods by Yushuai Wu, Peng Cao, Feiting Shi, Ketong Liu, Xuhao Wang, Zhen Leng, Zhifei Tan, Changjun Zhou

    Published 2020-01-01
    “…Besides, the finite element (FE) microstructural model with a coating layer generated by random aggregate distribution method was used to numerically evaluate the effect of the coating layer on the complex modulus of asphalt mastics. …”
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    Article
  3. 883
  4. 884

    Prediction of the RFID Identification Rate Based on the Neighborhood Rough Set and Random Forest for Robot Application Scenarios by Hong-Gang Wang, Shan-Shan Wang, Ruo-Yu Pan, Sheng-Li Pang, Xiao-Song Liu, Zhi-Yong Luo, Sheng-Pei Zhou

    Published 2020-01-01
    “…In this paper, a neighborhood rough set and random forest (NRS-RF) combination model is proposed to predict the identification rate of an RFID system. …”
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    Article
  5. 885
  6. 886

    Worth the effort? A practical examination of random effects in hidden Markov models for animal telemetry data by Brett T. McClintock

    Published 2021-08-01
    “…Abstract Hidden Markov models (HMMs) that include individual‐level random effects have recently been promoted for inferring animal movement behaviour from biotelemetry data. …”
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    Article
  7. 887
  8. 888

    Empirical Analysis of Financial Statement Fraud of Listed Companies Based on Logistic Regression and Random Forest Algorithm by Xinchun Liu

    Published 2021-01-01
    “…Through the empirical analysis of logistic regression, gradient lifting decision tree, and random forest model, the preliminary results are obtained, and then the random forest model is used for secondary judgment. …”
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    Article
  9. 889
  10. 890
  11. 891

    Stability Analysis of Networked Control Systems with Random Time Delays and Packet Dropouts Modeled by Markov Chains by Li Qiu, Fengqi Yao, Xiaopin Zhong

    Published 2013-01-01
    “…This paper investigates the stability analysis problem for a class of discrete-time networked control systems (NCSs) with random time delays and packet dropouts based on unified Markov jump model. …”
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  12. 892
  13. 893
  14. 894

    Remaining Useful Life Estimation of Fan Slewing Bearings in Nonlinear Wiener Process with Random Covariate Effect by Mingjun Liu, Zengshou Dong, Hui Shi, Yujia Zheng, Min Zhang

    Published 2022-01-01
    “…Moreover, the closed expression for the RUL probability density function(PDF) is derived for the random variation of drift coefficients, the individual differences and the random variation of covariates. …”
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  15. 895

    Simulation of the Compressive Strength of Cemented Tailing Backfill through the Use of Firefly Algorithm and Random Forest Model by Qi-Ang Wang, Jia Zhang, Jiandong Huang

    Published 2021-01-01
    “…The firefly algorithm (FA) was used to tune the random forest (RF) hyperparameters, and it was adopted to combine the RF model to improve the accuracy and efficiency for the prediction of the compressive strength of the cemented tailing backfill. …”
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    Article
  16. 896

    Calculation Method of the Meshing Force of Cycloid Pinwheel with Considering Position and Radius Combined Random Error of Pin by Wang Qiliang Zhu Min Chen Xinwen Ye Xiaofen Meng Yongshuai Gong Feng

    Published 2019-01-01
    “…The formula for calculating the relative rotation angle considering this random error is deduced. The meshing force with considering the random error is further studied with an example. …”
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  17. 897

    Developing a Travel Time Estimation Method of Freeway Based on Floating Car Using Random Forests by Juan Cheng, Gen Li, Xianhua Chen

    Published 2019-01-01
    “…To improve the estimation accuracy, a travel time estimation model based on Random Forests is proposed. 7 influence variables are viewed as candidates in this paper. …”
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    Article
  18. 898

    Driver identification in advanced transportation systems using osprey and salp swarm optimized random forest model by Akshat Gaurav, Brij B. Gupta, Razaz Waheeb Attar, Ahmed Alhomoud, Varsha Arya, Kwok Tai Chui

    Published 2025-01-01
    “…In this context, this work suggests a new method to find drivers by means of a Random Forest model optimized using the osprey optimization algorithm (OOA) for feature selection and the salp swarm optimization (SSO) for hyperparameter tuning based on driving behavior. …”
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  19. 899

    Comparison of sensory recovery between random pattern flap and axial pattern flap in finger defect reconstruction by Tien Duc Nguyen

    “…Background: This study aimed to investigate the association between the use of different flaps, including random- and axial-pattern flaps, and sensory recovery following finger soft tissue reconstruction using local pedicle flaps. …”
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  20. 900