Асосий контентга ўтиш
AkademIndex

Маҳсулотлар

Ишлаб чиқувчилар учун

AkademBaseЭкотизим учун очиқ API
← Ишга қайтиш

Ушбу иш иқтибос қилган ишлар

88 та иш

Иш: Developing rigorous machine learning models to accurately estimate pesticide photodegradation by ZnO-based photocatalysts in water

  1. Identification of cyclin protein using gradient boost decision tree algorithm

    Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang +4

    Мақола20219 иқтибос
    ABI
  2. Сарлавҳасиз

    Бошқа9 иқтибос
    ABI
  3. Fast Monte Carlo reliability evaluation using support vector machine

    Claudio M. Rocco, José Alı́ Moreno

    Мақола20027 иқтибос
    ABI
  4. Random Forest

    Steven J. Rigatti

    Мақола20176 иқтибос
    ABI
  5. Convolutional neural networks

    Walter Hugo Lopez Pinaya, Sandra Vieira, Rafael Garcia‐Dias +1

    Боб20196 иқтибос
    ABI
  6. Modeling n-alkane solubility in supercritical CO2 via intelligent methods

    Reza Songolzadeh, Khalil Shahbazi, Mohammad Madani

    Мақола20206 иқтибос
    ABI
  7. Modeling of signal-response cascades using decision tree analysis

    Sampsa Hautaniemi, Sourabh Kharait, Akihiro Iwabu +2

    Мақола20056 иқтибос
    ABI
  8. Intelligent interpolation by Monte Carlo machine learning

    Yongna Jia, Siwei Yu, Jianwei Ma

    Мақола20176 иқтибос
    ABI
  9. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

    Zewen Li, Fan Liu, Wenjie Yang +2

    Шарҳ мақола20216 иқтибос
    ABI
  10. Support vector regression

    Fan Zhang, Lauren J. O’Donnell

    Боб20195 иқтибос
    ABI