Items where Author is "Nasiri, Hamid"

Journal Article

Moazenzadeh, Roozbeh and Katipoğlu, Okan Mert and Shateri, Ahmadreza and Nasiri, Hamid and Abdallah, Mohammed (2024) Designing an explainable bio-inspired model for suspended sediment load estimation : eXtreme Gradient Boosting coupled with Marine Predators Algorithm. Engineering Applications of Computational Fluid Mechanics, 18 (1): 2391449. ISSN 1994-2060

Ghaheri, Paria and Nasiri, Hamid and Shateri, Ahmadreza and Homafar, Arman (2024) Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method. Computer Methods in Biomechanics and Biomedical Engineering, 27 (13). pp. 1858-1874. ISSN 1025-5842

Khayatian, Danial and Maleki, Alireza and Nasiri, Hamid and Dorrigiv, Morteza (2024) Histopathology image analysis for gastric cancer detection : a hybrid deep learning and catboost approach. Multimedia Tools and Applications. ISSN 1380-7501

Chehreh Chelgani, Saeed and Homafar, Arman and Nasiri, Hamid and Rezaei laksar, Mojtaba (2024) CatBoost-SHAP for modeling industrial operational flotation variables – A “conscious lab” approach. Minerals Engineering, 213: 108754. ISSN 0892-6875

Nasiri, Hamid and Dadashi, Ali and Azadi, Mohammad (2024) Machine learning for fatigue lifetime predictions in 3D-printed polylactic acid biomaterials based on interpretable extreme gradient boosting model. MATERIALS TODAY COMMUNICATIONS, 39: 109054. ISSN 2352-4928

Yagin, Fatma Hilal and Shateri, Ahmadreza and Nasiri, Hamid and Yagin, Burak and Colak, Cemil and Alghannam, Abdullah F. (2024) Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome. PeerJ Computer Science, 10: e1857. ISSN 2376-5992

Abdallah, Mohammed and Mohammadi, Babak and Nasiri, Hamid and Katipoğlu, Okan Mert and Abdalla, Modawy Adam Ali and Ebadzadeh, Mohammad Mehdi (2023) Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm. Energy Reports, 10. pp. 4198-4217. ISSN 2352-4847

Nasiri, Hamid and Ebadzadeh, Mohammad Mehdi (2023) Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition. Applied Soft Computing, 148: 110867. ISSN 1568-4946

Maleki, Alireza and Raahemi, Mohammad and Nasiri, Hamid (2023) Breast cancer diagnosis from histopathology images using deep neural network and XGBoost. Biomedical Signal Processing and Control, 86 (Part A): 105152. ISSN 1746-8094

Saberi, Saeid and Nasiri, Hamid and Ghorbani, Omid and Friswell, Michael I. and Castro, Saullo G.P. (2023) Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates. Materials, 16 (15): 5381. ISSN 1996-1944

Fatahi, Rasoul and Nasiri, Hamid and Homafar, Arman and Khosravi, Rasoul and Siavoshi, Hossein and Chehreh Chelgani, Saeed (2023) Modeling operational cement rotary kiln variables with explainable artificial intelligence methods–a “conscious lab” development. Particulate Science and Technology, 41 (5). pp. 715-724. ISSN 0272-6351

Farzipour, Alireza and Elmi, Roya and Nasiri, Hamid (2023) Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods. Diagnostics, 13 (14): 2391. ISSN 2075-4418

Ghaheri, Paria and Shateri, Ahmadreza and Nasiri, Hamid (2023) PD-ADSV : An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson's disease[Formula presented]. Software Impacts, 16: 100504. ISSN 2665-9638

Fatahi, Rasoul and Nasiri, Hamid and Dadfar, Ehsan and Chehreh Chelgani, Saeed (2022) Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost : a "conscious lab" approach. Scientific Reports, 12 (1): 7543. ISSN 2045-2322

Abbasniya, Mohammad Reza and Sheikholeslamzadeh, Sayed Ali and Nasiri, Hamid and Emami, Samaneh (2022) Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods. Computers and Electrical Engineering, 103: 108382. ISSN 0045-7906

Nasiri, Hamid and Ebadzadeh, Mohammad Mehdi (2022) MFRFNN : Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction. Neurocomputing, 507. pp. 292-310. ISSN 0925-2312

Zojaji, Zahra and Ebadzadeh, Mohammad Mehdi and Nasiri, Hamid (2022) Semantic schema based genetic programming for symbolic regression. Applied Soft Computing, 122: 108825. ISSN 1568-4946

Hasani, Sharif and Nasiri, Hamid (2022) COV-ADSX : An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19. Software Impacts, 11: 100210. ISSN 2665-9638

Nasiri, Hamid and Alavi, Seyed Ali (2022) A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images. Computational Intelligence and Neuroscience, 2022: 4694567. ISSN 1687-5265

Contribution in Book/Report/Proceedings

Esmaeili, Mona and Akhavan, Zeinab and Nasiri, Hamid and Worku, Yonatan Melese and Arzo, Sisay Tadesse and Stavropoulos, Andreas and Devetsikiotis, Michael and Zarkesh-Ha, Payman (2023) Medical Asset Management : Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data. In: Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 :. Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 . Institute of Electrical and Electronics Engineers Inc., USA, pp. 944-951. ISBN 9798350345346

Nasiri, Hamid and Kheyroddin, Ghazal and Dorrigiv, Morteza and Esmaeili, Mona and Nafchi, Amir Raeisi and Ghorbani, Mohsen Haji and Zarkesh-Ha, Payman (2022) Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM. In: 2022 IEEE World AI IoT Congress, AIIoT 2022 :. 2022 IEEE World AI IoT Congress, AIIoT 2022 . Institute of Electrical and Electronics Engineers Inc., USA, pp. 201-206. ISBN 9781665484534

Ezzoddin, Mobina and Nasiri, Hamid and Dorrigiv, Morteza (2022) Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM. In: Proceedings of 2022 12th Iranian/2nd International Conference on Machine Vision and Image Processing, MVIP 2022 :. Iranian Conference on Machine Vision and Image Processing, MVIP . IEEE Computer Society Press, IRN. ISBN 9781665412162

Hemmati, Arash and Nasiri, Hamid and Haeri, Maryam Amir and Ebadzadeh, Mohammad Mehdi (2020) A Novel Correlation-Based CUR Matrix Decomposition Method. In: 2020 6th International Conference on Web Research, ICWR 2020 :. 2020 6th International Conference on Web Research, ICWR 2020 . Institute of Electrical and Electronics Engineers Inc., IRN, pp. 172-176. ISBN 9781728110516