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Minoo Naebe
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2020 – today
- 2023
- [j7]Hamid Khayyam, Naeim Akbari Shahkhosravi, Ali Jamali, Minoo Naebe, Rahele Kafieh, Abbas S. Milani:
GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data. Expert Syst. Appl. 216: 119425 (2023) - 2020
- [j6]Hamid Khayyam, Ali Jamali, Alireza Bab-Hadiashar, Thomas Esch, Seeram Ramakrishna, Mahdi Jalili, Minoo Naebe:
A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling With Application in Industry 4.0. IEEE Access 8: 111381-111393 (2020)
2010 – 2019
- 2019
- [j5]Gelayol Golkarnarenji, Minoo Naebe, Khashayar Badii, Abbas S. Milani, Ali Jamali, Alireza Bab-Hadiashar, Reza N. Jazar, Hamid Khayyam:
Multi-Objective Optimization of Manufacturing Process in Carbon Fiber Industry Using Artificial Intelligence Techniques. IEEE Access 7: 67576-67588 (2019) - [j4]Mahyar Shirvanimoghaddam, Kamyar Shirvanimoghaddam, Mohammad Mahdi Abolhasani, Majid Farhangi, Vahid Zahiri Barsari, Hangyue Liu, Mischa Dohler, Minoo Naebe:
Towards a Green and Self-Powered Internet of Things Using Piezoelectric Energy Harvesting. IEEE Access 7: 94533-94556 (2019) - [j3]Gelayol Golkarnarenji, Minoo Naebe, Khashayar Badii, Abbas S. Milani, Reza N. Jazar, Hamid Khayyam:
A machine learning case study with limited data for prediction of carbon fiber mechanical properties. Comput. Ind. 105: 123-132 (2019) - 2018
- [j2]Gelayol Golkarnarenji, Minoo Naebe, Khashayar Badii, Abbas S. Milani, Reza N. Jazar, Hamid Khayyam:
Support vector regression modelling and optimization of energy consumption in carbon fiber production line. Comput. Chem. Eng. 109: 276-288 (2018) - 2015
- [j1]Hamid Khayyam, Minoo Naebe, Omid Zabihi, Reza Zamani, Stephen Atkiss, Bronwyn Fox:
Dynamic Prediction Models and Optimization of Polyacrylonitrile (PAN) Stabilization Processes for Production of Carbon Fiber. IEEE Trans. Ind. Informatics 11(4): 887-896 (2015)
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