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84 ta ish

Ish: Machine learning frameworks to accurately compute CO2 capture in porous liquids

  1. 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

    Maqola201911 iqtibos
    ABI

  2. A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning

    Malti Bansal, Apoorva Goyal, Apoorva Choudhary

    Maqola202210 iqtibos
    ABI

  3. Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables

    Gi-Wook Cha, Hyeun-Jun Moon, Young‐Chan Kim

    Maqola20219 iqtibos
    ABI

  4. Sarlavhasiz

    Boshqa9 iqtibos
    ABI

  5. Studying the effect of surfactant assisted low-salinity water flooding on clay-rich sandstones

    Saeed Khezerloo‐ye Aghdam, Alireza Kazemi, Mohammad Ahmadi

    Maqola20239 iqtibos
    ABI

  6. Decision tree-based diagnosis of coronary artery disease: CART model

    Mohammad M. Ghiasi, Sohrab Zendehboudi, Ali Asghar Mohsenipour

    Maqola20208 iqtibos
    ABI

  7. A comparative analysis of gradient boosting algorithms

    Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz

    Maqola20208 iqtibos
    ABI

  8. Fast Monte Carlo reliability evaluation using support vector machine

    Claudio M. Rocco, José Alı́ Moreno

    Maqola20027 iqtibos
    ABI

  9. CO<sub>2</sub> photo-reduction: insights into CO<sub>2</sub> activation and reaction on surfaces of photocatalysts

    Xiaoxia Chang, Tuo Wang, Jinlong Gong

    Maqola20166 iqtibos
    ABI

  10. Long‐Term Capturability of Atmospheric Water on a Global Scale

    Fangfang Li, H. F. Lü, Guang‐Qian Wang +1

    MaqolaOchiq kirish20246 iqtibos
    ABI

  11. Highly efficient and regenerable amine-impregnated adsorbents: Mechanistic insights into glycerol modification for enhanced direct air capture

    Feng Yan, Heijin Chen, Tong Chi +5

    Maqola20256 iqtibos
    ABI

  12. Convolutional neural networks

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

    Bob20196 iqtibos
    ABI

  13. Gradient Boosting Machine

    V Kishore Ayyadevara

    Bob20186 iqtibos
    ABI

  14. Modeling of signal-response cascades using decision tree analysis

    Sampsa Hautaniemi, Sourabh Kharait, Akihiro Iwabu +2

    Maqola20056 iqtibos
    ABI

  15. Intelligent interpolation by Monte Carlo machine learning

    Yongna Jia, Siwei Yu, Jianwei Ma

    Maqola20176 iqtibos
    ABI

  16. Gradient boosting machine for modeling the energy consumption of commercial buildings

    Samir Touzani, Jessica Granderson, Samuel Fernandes

    MaqolaOchiq kirish20175 iqtibos
    ABI

  17. Forecasting PVT properties of crude oil systems based on support vector machines modeling scheme

    Emad A. El-Sebakhy

    Maqola20085 iqtibos
    ABI

  18. Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN)

    Elham Heidari, Mohammad Amin Sobati, Salman Movahedirad

    Maqola20165 iqtibos
    ABI

  19. 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

  20. Ridge Regression: A Historical Context

    Roger W. Hoerl

    Maqola20205 iqtibos
    ABI

  21. Adsorbent Materials for Carbon Dioxide Capture from Large Anthropogenic Point Sources

    Sunho Choi, Jeffrey H. Drese, Christopher W. Jones

    Sharh maqola20095 iqtibos
    ABI

  22. Cocatalysts in Semiconductor‐based Photocatalytic CO<sub>2</sub> Reduction: Achievements, Challenges, and Opportunities

    Jingrun Ran, Mietek Jaroniec, Shi‐Zhang Qiao

    Sharh maqola20184 iqtibos
    ABI

  23. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences

    M.W Gardner, Stephen Dorling

    Maqola19984 iqtibos
    ABI

  24. MRD parameters using immunophenotypic detection methods are highly reliable in predicting survival in acute myeloid leukaemia

    N Feller, M.A. van der Pol, Amber van Stijn +5

    Maqola20044 iqtibos
    ABI

  25. Evaluation of Convolutional Neural Network Architectures for Chart Image Classification

    Paulo Chagas, Rafael Akiyama, Aruanda Simões Gonçalves Meiguins +4

    Maqola20184 iqtibos
    ABI