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Research

Dr Hamid Nasiri

Senior Research Associate: Sustainable Computing

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  1. 2025
  2. 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/Magazine › Journal article › peer-review

  3. 2024
  4. 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/Magazine › Journal article › peer-review

  5. 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/Magazine › Journal article › peer-review

  6. 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/Magazine › Journal article › peer-review

  7. 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/Magazine › Journal article › peer-review

  8. 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/Magazine › Journal article › peer-review

  9. 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/Magazine › Journal article › peer-review

  10. 2023
  11. 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/Magazine › Journal article › peer-review

  12. 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/Magazine › Journal article › peer-review

  13. Published

    Breast cancer diagnosis from histopathology images using deep neural network and XGBoost

    Maleki, A., Raahemi, M. & Nasiri, H., 1/09/2023, In: Biomedical Signal Processing and Control. 86, Part A, 105152.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  14. Published

    Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates

    Saberi, S., Nasiri, H., Ghorbani, O., Friswell, M. I. & Castro, S. G. P., 31/07/2023, In: Materials. 16, 15, 5381.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  15. Published

    Modeling operational cement rotary kiln variables with explainable artificial intelligence methods–a “conscious lab” development

    Fatahi, R., Nasiri, H., Homafar, A., Khosravi, R., Siavoshi, H. & Chehreh Chelgani, S., 31/07/2023, In: Particulate Science and Technology. 41, 5, p. 715-724 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  16. Published

    Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods

    Farzipour, A., Elmi, R. & Nasiri, H., 17/07/2023, In: Diagnostics. 13, 14, 2391.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  17. Published

    PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson's disease[Formula presented]

    Ghaheri, P., Shateri, A. & Nasiri, H., 31/05/2023, In: Software Impacts. 16, 100504.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  18. Published

    Modeling industrial hydrocyclone operational variables by SHAP-CatBoost - A “conscious lab” approach

    Chehreh Chelgani, S., Nasiri, H., Tohry, A. & Heidari, H. R., 15/04/2023, In: Powder Technology. 420, 118416.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  19. Published

    Medical Asset Management: Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data

    Esmaeili, M., Akhavan, Z., Nasiri, H., Worku, Y. M., Arzo, S. T., Stavropoulos, A., Devetsikiotis, M. & Zarkesh-Ha, P., 2023, Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Arif Wani, M., Boicu, M., Sayed-Mouchaweh, M., Abreu, P. H. & Gama, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 944-951 8 p. (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  20. 2022
  21. Published

    Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a "conscious lab" approach

    Fatahi, R., Nasiri, H., Dadfar, E. & Chehreh Chelgani, S., 31/12/2022, In: Scientific Reports. 12, 1, 7543.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  22. Published

    Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods

    Abbasniya, M. R., Sheikholeslamzadeh, S. A., Nasiri, H. & Emami, S., 31/10/2022, In: Computers and Electrical Engineering. 103, 108382.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  23. Published

    MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction

    Nasiri, H. & Ebadzadeh, M. M., 1/10/2022, In: Neurocomputing. 507, p. 292-310 19 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  24. Published

    Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost

    Nasiri, H. & Hasani, S., 31/08/2022, In: Radiography. 28, 3, p. 732-738 7 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  25. Published

    Semantic schema based genetic programming for symbolic regression

    Zojaji, Z., Ebadzadeh, M. M. & Nasiri, H., 30/06/2022, In: Applied Soft Computing. 122, 108825.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  26. Published

    COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19

    Hasani, S. & Nasiri, H., 28/02/2022, In: Software Impacts. 11, 100210.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  27. Published

    A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images

    Nasiri, H. & Alavi, S. A., 7/01/2022, In: Computational Intelligence and Neuroscience. 2022, 4694567.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  28. Published

    Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM

    Nasiri, H., Kheyroddin, G., Dorrigiv, M., Esmaeili, M., Nafchi, A. R., Ghorbani, M. H. & Zarkesh-Ha, P., 2022, 2022 IEEE World AI IoT Congress, AIIoT 2022. Institute of Electrical and Electronics Engineers Inc., p. 201-206 6 p. (2022 IEEE World AI IoT Congress, AIIoT 2022).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  29. Published

    Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM

    Ezzoddin, M., Nasiri, H. & Dorrigiv, M., 2022, Proceedings of 2022 12th Iranian/2nd International Conference on Machine Vision and Image Processing, MVIP 2022. IEEE Computer Society Press, (Iranian Conference on Machine Vision and Image Processing, MVIP; vol. 2022-February).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  30. 2021
  31. Published

    Interpretable modeling of metallurgical responses for an industrial coal column flotation circuit by XGBoost and SHAP-A “conscious-lab” development

    Chehreh Chelgani, S., Nasiri, H. & Alidokht, M., 30/11/2021, In: International Journal of Mining Science and Technology. 31, 6, p. 1135-1144 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  32. Published

    Modeling of particle sizes for industrial HPGR products by a unique explainable AI tool- A “Conscious Lab” development

    Chehreh Chelgani, S., Nasiri, H. & Tohry, A., 30/11/2021, In: Advanced Powder Technology. 32, 11, p. 4141-4148 8 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  33. 2020
  34. Published

    A Novel Correlation-Based CUR Matrix Decomposition Method

    Hemmati, A., Nasiri, H., Haeri, M. A. & Ebadzadeh, M. M., 04/2020, 2020 6th International Conference on Web Research, ICWR 2020. Institute of Electrical and Electronics Engineers Inc., p. 172-176 5 p. 9122286. (2020 6th International Conference on Web Research, ICWR 2020).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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