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Dr Hamid Nasiri

Senior Research Associate: Sustainable Computing

  1. 2025
  2. Published

    Modeling energy consumption indexes of an industrial cement ball mill for sustainable production

    Chehreh Chelgani, S., Fatahi, R., Pournazari, A. & Nasiri, H., 27/05/2025, In: Scientific Reports. 15, 1, 18514.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration

    Achite, M., Nasiri, H., Katipoğlu, O. M., Abdallah, M., Moazenzadeh, R. & Mohammadi, B., 28/02/2025, In: Theoretical and Applied Climatology. 156, 2, 113.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. 2024
  5. Published

    Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm

    Moazenzadeh, R., Katipoğlu, O. M., Shateri, A., Nasiri, H. & Abdallah, M., 31/12/2024, In: Engineering Applications of Computational Fluid Mechanics. 18, 1, 2391449.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method

    Ghaheri, P., Nasiri, H., Shateri, A. & Homafar, A., 31/10/2024, In: Computer Methods in Biomechanics and Biomedical Engineering. 27, 13, p. 1858-1874 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. E-pub ahead of print

    Histopathology image analysis for gastric cancer detection: a hybrid deep learning and catboost approach

    Khayatian, D., Maleki, A., Nasiri, H. & Dorrigiv, M., 7/08/2024, (E-pub ahead of print) In: Multimedia Tools and Applications.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    CatBoost-SHAP for modeling industrial operational flotation variables – A “conscious lab” approach

    Chehreh Chelgani, S., Homafar, A., Nasiri, H. & Rezaei laksar, M., 1/08/2024, In: Minerals Engineering. 213, 108754.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    Machine learning for fatigue lifetime predictions in 3D-printed polylactic acid biomaterials based on interpretable extreme gradient boosting model

    Nasiri, H., Dadashi, A. & Azadi, M., 30/06/2024, In: MATERIALS TODAY COMMUNICATIONS. 39, 109054.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome

    Yagin, F. H., Shateri, A., Nasiri, H., Yagin, B., Colak, C. & Alghannam, A. F., 20/03/2024, In: PeerJ Computer Science. 10, e1857.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. 2023
  12. Published

    Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm

    Abdallah, M., Mohammadi, B., Nasiri, H., Katipoğlu, O. M., Abdalla, M. A. A. & Ebadzadeh, M. M., 1/11/2023, In: Energy Reports. 10, p. 4198-4217 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. Published

    Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition

    Nasiri, H. & Ebadzadeh, M. M., 1/11/2023, In: Applied Soft Computing. 148, 110867.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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