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Research

Dr Hamid Nasiri

Senior Research Associate: Sustainable Computing

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  1. 2023
  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 2022
  10. 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

  11. 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

  12. 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

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