Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
← Назад к работе

Работы, на которые ссылается эта работа

Работ: 99

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

  1. Machine learning-based estimation of nano-lubricants viscosity in different operating conditions

    Amin Bemani, Mohammad Madani, Alireza Kazemi

    Статья2023Цитирований: 25
    ABI
  2. Deterministic tools to predict gas assisted gravity drainage recovery factor

    Maryam Hasanzadeh, Mohammad Madani

    Статья2023Цитирований: 12
    ABI
  3. Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm

    Dewan Md. Farid, Mohammad Zahidur Rahman

    Статья2009Цитирований: 8
    ABI
  4. Autonomous Organic Synthesis for Redox Flow Batteries via Flexible Batch Bayesian Optimization

    Clara Tamura, Heather Job, Henry Chang +3

    Препринт2025Цитирований: 8
    ABI
  5. Evolution strategies – A comprehensive introduction

    Hans-Georg Beyer, Hans–Paul Schwefel

    Статья2002Цитирований: 7
    ABI
  6. Improved naive Bayesian probability classifier in predictions of nuclear mass

    Yifan Liu, Su Chen, Jian Liu +3

    Статья2021Цитирований: 7
    ABI
  7. Seepage Characteristics of Broken Carbonaceous Shale under Cyclic Loading and Unloading Conditions

    Lei Zhang, Xiaochuan Yuan, Liang Luo +2

    Статья2023Цитирований: 7
    ABI
  8. Modeling thermal-induced wellhead growth through the lifecycle of a well

    Hao Yu, Zhaoyang Zhao, Arash Dahi Taleghani +2

    Статья2024Цитирований: 6
    ABI
  9. Gradient Boosting Machine

    V Kishore Ayyadevara

    Глава2018Цитирований: 6
    ABI
  10. Evolution Strategies

    Nikolaus Hansen, Dirk V. Arnold, Anne Auger

    Глава2015Цитирований: 6
    ABI
  11. Seepage Characteristics of Coal under Complex Mining Stress Environment Conditions

    Lei Zhang, Liang Luo, Jianzhong Pan +3

    Статья2024Цитирований: 6
    ABI