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28 та иш

Иш: Machine-learning based prediction of hydrogen/methane mixture solubility in brine

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

    Amin Bemani, Mohammad Madani, Alireza Kazemi

    Мақола202325 иқтибос
    ABI

  2. Storage of hydrogen, natural gas, and carbon dioxide – Geological and legal conditions

    Radosław Tarkowski, Barbara Uliasz‐Misiak, Piotr Tarkowski

    Мақола20214 иқтибос
    ABI

  3. Particle swarm optimization

    Riccardo Poli, James Kennedy, Tim Blackwell

    Мақола20072 иқтибос
    ABI

  4. A comprehensive review of value-added CO2 sequestration in subsurface saline aquifers

    Sunil Kumar, Jalal Foroozesh, Katriona Edlmann +2

    Шарҳ мақола20202 иқтибос
    ABI

  5. Prediction of hydrogen solubility in aqueous solutions: Comparison of equations of state and advanced machine learning-metaheuristic approaches

    Sajjad Ansari, Majid Safaei-Farouji, Saeid Atashrouz +3

    Мақола20222 иқтибос
    ABI

  6. Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage

    Hung Vo Thanh, Hemeng Zhang, Zhenxue Dai +3

    Мақола20232 иқтибос
    ABI

  7. Solubility of H2-CH4 mixtures in brine at underground hydrogen storage thermodynamic conditions

    Michel Tawil, Eloisa Salina Borello, Sergio Bocchini +6

    Мақола20242 иқтибос
    ABI

  8. Least Squares Support Vector Machine Classifiers

    Johan A. K. Suykens, Joos Vandewalle

    Мақола19992 иқтибос
    ABI

  9. An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange

    Melek Acar Boyacıoğlu, Derya Avcı

    Мақола20102 иқтибос
    ABI

  10. Benchmarking Least Squares Support Vector Machine Classifiers

    Tony Van Gestel, Johan A. K. Suykens, Bart Baesens +5

    Мақола20032 иқтибос
    ABI

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