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Ushbu ish iqtibos qilgan ishlar

73 ta ish

Ish: Estimating solubility of nitrogen in various ionic liquids: application of machine-learning

  1. Machine learning-based estimation of nano-lubricants viscosity in different operating conditions

    Amin Bemani, Mohammad Madani, Alireza Kazemi

    Maqola202326 iqtibos
    ABI

  2. Mechanistic assessment of Seidlitzia Rosmarinus-derived surfactant for restraining shale hydration: A comprehensive experimental investigation

    Saeed Khezerloo‐ye Aghdam, Aghil Moslemizadeh, Mohammad Madani +3

    Maqola201916 iqtibos
    ABI

  3. 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

  4. 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

  5. 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

  6. Sarlavhasiz

    Boshqa9 iqtibos
    ABI

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

    Mohammad M. Ghiasi, Sohrab Zendehboudi, Ali Asghar Mohsenipour

    Maqola20208 iqtibos
    ABI

  8. A comparative analysis of gradient boosting algorithms

    Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz

    Maqola20208 iqtibos
    ABI

  9. Predicting asphaltene precipitation during titration of diluted crude oil with paraffin using artificial neural network (ANN)

    Seyed Mojtaba Bassir, Mohammad Madani

    Maqola20197 iqtibos
    ABI

  10. Fast Monte Carlo reliability evaluation using support vector machine

    Claudio M. Rocco, José Alı́ Moreno

    Maqola20027 iqtibos
    ABI

  11. Soil ecological stoichiometry synchronously regulates stream nitrogen and phosphorus concentrations and ratios

    Ji Liu, Yi Wang, Yong Li +9

    Maqola20236 iqtibos
    ABI

  12. Gradient Boosting Machine

    V Kishore Ayyadevara

    Bob20186 iqtibos
    ABI

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

    Sampsa Hautaniemi, Sourabh Kharait, Akihiro Iwabu +2

    Maqola20056 iqtibos
    ABI

  14. Intelligent interpolation by Monte Carlo machine learning

    Yongna Jia, Siwei Yu, Jianwei Ma

    Maqola20176 iqtibos
    ABI

  15. On the evaluation of the viscosity of nanofluid systems: Modeling and data assessment

    Abdolhossein Hemmati‐Sarapardeh, Amir Varamesh, Maen M. Husein +1

    Maqola20175 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. Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality

    Kai Qi, Hu Yang

    Maqola20215 iqtibos
    ABI

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

    Emad A. El-Sebakhy

    Maqola20085 iqtibos
    ABI

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

    Elham Heidari, Mohammad Amin Sobati, Salman Movahedirad

    Maqola20165 iqtibos
    ABI

  20. 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

  21. Linear regression

    Thomas M.H. Hope

    Bob20194 iqtibos
    ABI

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

    Sebastian Sado, Ilona Jastrzębska, W Zelik +1

    Sharh maqola20234 iqtibos
    ABI

  23. Prediction of viscosity of water-based Al2O3, TiO2, SiO2, and CuO nanofluids using a reliable approach

    Mahdi Kalantari Meybodi, Saeed Naseri, Amin Shokrollahi +1

    Maqola20154 iqtibos
    ABI

  24. Estimating the Heat Capacity of Non-Newtonian Ionanofluid Systems Using ANN, ANFIS, and SGB Tree Algorithms

    Reza Daneshfar, Amin Bemani, Masoud Hadipoor +4

    MaqolaOchiq kirish20203 iqtibos
    ABI

  25. Green processing using ionic liquids and CO2

    Lynnette A. Blanchard, Dan Hâncu, Eric J. Beckman +1

    Maqola19993 iqtibos
    ABI