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99 та иш

Иш: Application of hybrid gradient boosting machine to reliably predict rate of penetration

  1. Deterministic tools to predict gas assisted gravity drainage recovery factor

    Maryam Hasanzadeh, Mohammad Madani

    Мақола202312 иқтибос
    ABI
  2. Autonomous Organic Synthesis for Redox Flow Batteries via Flexible Batch Bayesian Optimization

    Clara Tamura, Heather Job, Henry Chang +3

    Препринт20258 иқтибос
    ABI
  3. Evolution strategies – A comprehensive introduction

    Hans-Georg Beyer, Hans–Paul Schwefel

    Мақола20027 иқтибос
    ABI
  4. Improved naive Bayesian probability classifier in predictions of nuclear mass

    Yifan Liu, Su Chen, Jian Liu +3

    Мақола20217 иқтибос
    ABI
  5. Modeling thermal-induced wellhead growth through the lifecycle of a well

    Hao Yu, Zhaoyang Zhao, Arash Dahi Taleghani +2

    Мақола20246 иқтибос
    ABI
  6. Gradient Boosting Machine

    V Kishore Ayyadevara

    Боб20186 иқтибос
    ABI
  7. Evolution Strategies

    Nikolaus Hansen, Dirk V. Arnold, Anne Auger

    Боб20156 иқтибос
    ABI
  8. Seepage Characteristics of Coal under Complex Mining Stress Environment Conditions

    Lei Zhang, Liang Luo, Jianzhong Pan +3

    Мақола20246 иқтибос
    ABI