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44 ta ish

Ish: Effects of physical properties on the heavy metal adsorption of biochar via a robust approach

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

    Amin Bemani, Mohammad Madani, Alireza Kazemi

    Maqola202326 iqtibos
    ABI

  2. Modeling subcritical multi-phase flow through surface chokes with new production parameters

    Peyman Abbasi, Saeed Khezerloo‐ye Aghdam, Mohammad Madani

    Maqola202221 iqtibos
    ABI

  3. 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

  4. Machine learning models for the prediction of total yield and specific surface area of biochar derived from agricultural biomass by pyrolysis

    Abdul Hai, G. Bharath, Muhamad Fazly Abdul Patah +4

    Maqola20234 iqtibos
    ABI

  5. 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

  6. Connectionist approaches for solubility prediction of n-alkanes in supercritical carbon dioxide

    Amin Daryasafar, Navid Daryasafar, Mohammad Madani +2

    Maqola20164 iqtibos
    ABI

  7. Engineering biochar from biomass pyrolysis for effective adsorption of heavy metal: An innovative machine learning approach

    Lijian Leng, Huihui Zheng, Tian Shen +7

    Maqola20253 iqtibos
    ABI

  8. Machine learning prediction of hydrochar adsorption capacity for methylene blue with limited data: Inspired by generative adversarial network-based augmentation

    Chong Liu, Jingxian An, Xuan Cuong Nguyen +1

    Maqola20253 iqtibos
    ABI

  9. Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production

    Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee +7

    Maqola20232 iqtibos
    ABI

  10. Machine learning assisted predicting and engineering specific surface area and total pore volume of biochar

    Hailong Li, Zejian Ai, Lihong Yang +4

    Maqola20222 iqtibos
    ABI

  11. Asphaltene precipitation due to natural depletion of reservoir: Determination using a SARA fraction based intelligent model

    Abdolhossein Hemmati‐Sarapardeh, Reza Alipour-Yeganeh-Marand, Ali Naseri +4

    Maqola20132 iqtibos
    ABI

  12. An insight into the microorganism growth prediction by means of machine learning approaches

    Amin Bemani, Alireza Kazemi, Mohammad Ahmadi

    Maqola20222 iqtibos
    ABI

  13. Feature engineering for improved machine-learning-aided studying heavy metal adsorption on biochar

    Tian Shen, Haoyi Peng, Xingzhong Yuan +5

    Maqola20242 iqtibos
    ABI

  14. Sarlavhasiz

    Boshqa2 iqtibos
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  16. Augmented machine learning with limited data for hydrogen yield prediction in wastewater dark fermentation

    Chong Liu, Fayong Li, Pengyan Zhang +1

    Maqola20252 iqtibos
    ABI

  17. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

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  25. Sarlavhasiz

    Boshqa1 iqtibos
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