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63 ta ish

Ish: 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

    Maqola198516 iqtibos
    ABI

  2. Pseudo-second order model for sorption processes

    Yuh‐Shan Ho, Gordon McKay

    Maqola199913 iqtibos
    ABI

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

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

    Maqola202110 iqtibos
    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

    Maqola201910 iqtibos
    ABI

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

    Yile Ao, Hongqi Li, Liping Zhu +2

    Maqola20187 iqtibos
    ABI

  6. A comparative analysis of gradient boosting algorithms

    Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz

    Maqola20207 iqtibos
    ABI

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

    Altyeb Taha, Sharaf J. Malebary

    Maqola20206 iqtibos
    ABI

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

    Kaiyu Zhao, Bojia Tong, Xiaoping Yu +3

    Maqola20215 iqtibos
    ABI

  9. Building more accurate decision trees with the additive tree

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

    Maqola20195 iqtibos
    ABI

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

    Kai Qi, Hu Yang

    Maqola20215 iqtibos
    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

    Maqola20195 iqtibos
    ABI

  12. Ridge Regression: A Historical Context

    Roger W. Hoerl

    Maqola20205 iqtibos
    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

    Maqola20225 iqtibos
    ABI

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

    Deng Jianxin, Gang Liu, Ling Wang +2

    Maqola20244 iqtibos
    ABI

  15. Lithium recovery using electrochemical technologies: Advances and challenges

    Wu Lei, Changyong Zhang, Seoni Kim +3

    Sharh maqola20224 iqtibos
    ABI

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

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

    Maqola20164 iqtibos
    ABI

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

    S. Kavitha, S. Varuna, R. Ramya

    Maqola20164 iqtibos
    ABI

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

    Frank Emmert‐Streib, Matthias Dehmer

    Maqola20194 iqtibos
    ABI

  19. Sarlavhasiz

    Boshqa4 iqtibos
    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

    Maqola20243 iqtibos
    ABI

  21. Sarlavhasiz

    Boshqa3 iqtibos
    ABI

  22. Sarlavhasiz

    Boshqa3 iqtibos
    ABI

  23. Sarlavhasiz

    Boshqa3 iqtibos
    ABI

  24. Sarlavhasiz

    Boshqa3 iqtibos
    ABI

  25. Sarlavhasiz

    Boshqa2 iqtibos
    ABI