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63 та иш

Иш: New insights into lithium recovery from unconventional water resources

  1. Reporting physisorption data for gas/solid systems with special reference to the determination of surface area and porosity (Recommendations 1984)

    K. S. W. Sing

    Мақола198516 иқтибос
    ABI

  2. Pseudo-second order model for sorption processes

    Yuh‐Shan Ho, Gordon McKay

    Мақола199913 иқтибос
    ABI

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

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

    Мақола202110 иқтибос
    ABI

  4. Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

    Junliang Fan, Xin Ma, Lifeng Wu +3

    Мақола201910 иқтибос
    ABI

  5. The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling

    Yile Ao, Hongqi Li, Liping Zhu +2

    Мақола20187 иқтибос
    ABI

  6. A comparative analysis of gradient boosting algorithms

    Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz

    Мақола20207 иқтибос
    ABI

  7. An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine

    Altyeb Taha, Sharaf J. Malebary

    Мақола20206 иқтибос
    ABI

  8. Synthesis of porous fiber-supported lithium ion-sieve adsorbent for lithium recovery from geothermal water

    Kaiyu Zhao, Bojia Tong, Xiaoping Yu +3

    Мақола20215 иқтибос
    ABI

  9. Building more accurate decision trees with the additive tree

    José Marcio Luna, Efstathios D. Gennatas, Lyle Ungar +7

    Мақола20195 иқтибос
    ABI

  10. Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality

    Kai Qi, Hu Yang

    Мақола20215 иқтибос
    ABI

  11. A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide

    Jie Chen, Kees de Hoogh, John Gulliver +19

    Мақола20195 иқтибос
    ABI

  12. Ridge Regression: A Historical Context

    Roger W. Hoerl

    Мақола20205 иқтибос
    ABI

  13. You only design once (YODO): Gaussian Process-Batch Bayesian optimization framework for mixture design of ultra high performance concrete

    Eman Saleh, Ahmad Tarawneh, M.Z. Naser +2

    Мақола20225 иқтибос
    ABI

  14. An efficient extraction method of journal-article table data for data-driven applications

    Deng Jianxin, Gang Liu, Ling Wang +2

    Мақола20244 иқтибос
    ABI

  15. Lithium recovery using electrochemical technologies: Advances and challenges

    Wu Lei, Changyong Zhang, Seoni Kim +3

    Шарҳ мақола20224 иқтибос
    ABI

  16. Machine-learning-assisted materials discovery using failed experiments

    Paul Raccuglia, Katherine C. Elbert, Philip Adler +7

    Мақола20164 иқтибос
    ABI

  17. A comparative analysis on linear regression and support vector regression

    S. Kavitha, S. Varuna, R. Ramya

    Мақола20164 иқтибос
    ABI

  18. High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection

    Frank Emmert‐Streib, Matthias Dehmer

    Мақола20194 иқтибос
    ABI

  19. Сарлавҳасиз

    Бошқа4 иқтибос
    ABI

  20. <scp>M‐PINN</scp>: A mesh‐based physics‐informed neural network for linear elastic problems in solid mechanics

    Lu Wang, Guangyan Liu, Wang Guanglun +1

    Мақола20243 иқтибос
    ABI

  21. Сарлавҳасиз

    Бошқа3 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа3 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа3 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа3 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI