Skip to main content
AkademIndex

Products

For developers

AkademBaseOpen API for the ecosystem
← Back to work

Works cited by this work

44 works

Work: 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

    Article202325 citations
    ABI

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

    Peyman Abbasi, Saeed Khezerloo‐ye Aghdam, Mohammad Madani

    Article202220 citations
    ABI

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

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

    Article20175 citations
    ABI

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

    Mahdi Kalantari Meybodi, Saeed Naseri, Amin Shokrollahi +1

    Article20154 citations
    ABI

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

    Amin Daryasafar, Navid Daryasafar, Mohammad Madani +2

    Article20164 citations
    ABI

  6. 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

    Article20233 citations
    ABI

  7. 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

    Article20253 citations
    ABI

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

    Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee +7

    Article20232 citations
    ABI

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

    Hailong Li, Zejian Ai, Lihong Yang +4

    Article20222 citations
    ABI

  10. 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

    Article20132 citations
    ABI

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

    Amin Bemani, Alireza Kazemi, Mohammad Ahmadi

    Article20222 citations
    ABI

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

    Tian Shen, Haoyi Peng, Xingzhong Yuan +5

    Article20242 citations
    ABI

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

    Lijian Leng, Huihui Zheng, Tian Shen +7

    Article20252 citations
    ABI

  14. Augmented machine learning with limited data for hydrogen yield prediction in wastewater dark fermentation

    Chong Liu, Fayong Li, Pengyan Zhang +1

    Article20252 citations
    ABI

  15. Untitled

    Other1 citations
    ABI

  16. Untitled

    Other1 citations
    ABI

  17. Untitled

    Other1 citations
    ABI

  18. Untitled

    Other1 citations
    ABI

  19. Untitled

    Other1 citations
    ABI

  20. Untitled

    Other1 citations
    ABI

  21. Untitled

    Other1 citations
    ABI

  22. Untitled

    Other1 citations
    ABI

  23. Untitled

    Other1 citations
    ABI

  24. Untitled

    Other1 citations
    ABI

  25. Untitled

    Other1 citations
    ABI