Skip to main content
AkademIndex

Products

For developers

AkademBaseOpen API for the ecosystem
← Back to work

Works cited by this work

84 works

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

  1. 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

    Article202210 citations
    ABI

  2. 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

    Article20199 citations
    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

    Article20219 citations
    ABI

  4. Untitled

    Other9 citations
    ABI

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

    Mohammad M. Ghiasi, Sohrab Zendehboudi, Ali Asghar Mohsenipour

    Article20208 citations
    ABI

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

    Saeed Khezerloo‐ye Aghdam, Alireza Kazemi, Mohammad Ahmadi

    Article20238 citations
    ABI

  7. Fast Monte Carlo reliability evaluation using support vector machine

    Claudio M. Rocco, José Alı́ Moreno

    Article20027 citations
    ABI

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

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

    Article20246 citations
    ABI

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

    Feng Yan, Heijin Chen, Tong Chi +5

    Article20256 citations
    ABI

  10. Convolutional neural networks

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

    Chapter20196 citations
    ABI

  11. Gradient Boosting Machine

    V Kishore Ayyadevara

    Chapter20186 citations
    ABI

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

    Sampsa Hautaniemi, Sourabh Kharait, Akihiro Iwabu +2

    Article20056 citations
    ABI

  13. Intelligent interpolation by Monte Carlo machine learning

    Yongna Jia, Siwei Yu, Jianwei Ma

    Article20176 citations
    ABI

  14. 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

    Article20165 citations
    ABI

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

    Samir Touzani, Jessica Granderson, Samuel Fernandes

    Article20175 citations
    ABI

  16. A comparative analysis of gradient boosting algorithms

    Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz

    Article20205 citations
    ABI

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

    Emad A. El-Sebakhy

    Article20085 citations
    ABI

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

    Elham Heidari, Mohammad Amin Sobati, Salman Movahedirad

    Article20165 citations
    ABI

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

    M.W Gardner, Stephen Dorling

    Article19984 citations
    ABI

  20. 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

    Article20044 citations
    ABI

  21. 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

    Article20194 citations
    ABI

  22. Linear regression

    Thomas M.H. Hope

    Chapter20194 citations
    ABI

  23. Current State of Application of Machine Learning for Investigation of MgO-C Refractories: A Review

    Sebastian Sado, Ilona Jastrzębska, W Zelik +1

    Review article20234 citations
    ABI

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

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

    Review article20094 citations
    ABI

  25. Prediction of CO2 solubility in ionic liquids using machine learning methods

    Zhen Song, Huaiwei Shi, Xiang Zhang +1

    Article20203 citations
    ABI