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ORCIDAbbas S. Milani
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2020 – today
- 2024
[j20]Sorayya Kazemi, Abbas S. Milani
:
A preliminary step toward intelligent forming of fabric composites: Artificial intelligence-based fiber distortions monitoring. Eng. Appl. Artif. Intell. 133: 108262 (2024)- [j19]Milad Ramezankhani, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani:
Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming. Int. J. Comput. Integr. Manuf. 37(1-2): 18-36 (2024) - [i3]Hadi Hosseinionari, Mohammad Bajelani, Klaske van Heusden, Abbas S. Milani, Rudolf J. Seethaler:
Towards Indirect Data-Driven Predictive Control for Heating Phase of Thermoforming Process. CoRR abs/2407.17013 (2024) - 2023
- [j18]Debangsha Sarkar, Milad Ramezankhani, Apurva Narayan, Abbas S. Milani:
Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL). Comput. Ind. 151: 103989 (2023) - [j17]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) - [j16]Shiva Parsarad, Narges Saeedizadeh, Ghazaleh Jamalipour Soufi, Shamim Shafieyoon, Farzaneh Hekmatnia, Andrew Parviz Zarei, Samira Soleimany, Amir Yousefi, Hengameh Nazari, Pegah Torabi, Abbas S. Milani, Seyed Ali Madani Tonekaboni, Hossein Rabbani, Ali Hekmatnia, Rahele Kafieh:
Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset. J. Imaging 9(8): 159 (2023) - [c5]Iman Jalilvand, Jay Jiyoung, Hadi Hosseinionari, Rudolf J. Seethaler, Bhushan Gopaluni, Abbas S. Milani:
An Interactive Digital Twin of a Composite Manufacturing Process for Training Operators via Immersive Technology. HCI (47) 2023: 207-214 - [i2]Milad Ramezankhani, Abbas S. Milani:
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing. CoRR abs/2308.06447 (2023) - 2022
- [j15]Hamed Mirzaei, Milad Ramezankhani, Emily Earl, Nishat Tasnim, Abbas S. Milani, Mina Hoorfar:
Investigation of a Sparse Autoencoder-Based Feature Transfer Learning Framework for Hydrogen Monitoring Using Microfluidic Olfaction Detectors. Sensors 22(20): 7696 (2022) - [j14]Tim Sloos, Brent Rustand, Xinhe Liu, Connor Keegan, Reza Sourki, Abbas S. Milani:
A multi-criteria decision analysis of implanted biomedical device antenna: electro-thermal simulation, design, and data analysis. Simul. 98(10): 863-873 (2022) - [j13]Abbas S. Milani, Hamid Khayyam, Hormoz Marzbani, William Melek, Nasser L. Azad, Reza N. Jazar:
Smart Autodriver Algorithm for Real-Time Autonomous Vehicle Trajectory Control. IEEE Trans. Intell. Transp. Syst. 23(3): 1984-1995 (2022) - [c4]Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani:
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. ICPS 2022: 1-7 - [c3]Aniket Chakraborty, Anupama Vijaya Nadarja, Abbas S. Milani, Javier Perez Tobia, Apurva Narayan:
Improving imbalanced dataset classification using Conditional Classifier-Generator (cCGen). SMC 2022: 671-675 - [i1]Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani:
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. CoRR abs/2202.06139 (2022) - 2021
- [j12]Bryn Crawford, Reza Sourki, Hamid Khayyam, Abbas S. Milani:
A machine learning framework with dataset-knowledgeability pre-assessment and a local decision-boundary crispness score: An industry 4.0-based case study on composite autoclave manufacturing. Comput. Ind. 132: 103510 (2021) - [j11]Huan Liu, Shuo Liu, Zheng Liu, Nezih Mrad, Abbas S. Milani:
Data-Driven Approaches for Characterization of Delamination Damage in Composite Materials. IEEE Trans. Ind. Electron. 68(3): 2532-2542 (2021) - [c2]Mohamad Khajezade, Milad Ramezankhani, Fatemeh Hendijani Fard, Mohamed S. Shehata, Abbas S. Milani:
Toward Using Few-Shot Learning for Prediction of Complex In-Service Defects of Composite Products: A case Study. CCECE 2021: 1-7 - [c1]Milad Ramezankhani, Apurva Narayan, Rudolf J. Seethaler, Abbas S. Milani:
An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing. ICPS 2021: 277-282
2010 – 2019
- 2019
- [j10]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) - [j9]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
- [j8]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) - 2016
- [j7]Mohammad Alemi-Ardakani, Abbas S. Milani, Spiro Yannacopoulos, Golnaz Shokouhi:
On the effect of subjective, objective and combinative weighting in multiple criteria decision making: A case study on impact optimization of composites. Expert Syst. Appl. 46: 426-438 (2016) - 2012
- [j6]Hasan Hosseini Nasab, Abbas S. Milani:
An improvement of quantitative strategic planning matrix using multiple criteria decision making and fuzzy numbers. Appl. Soft Comput. 12(8): 2246-2253 (2012) - [j5]Mahdi Modirzadeh, Solomon Tesfamariam, Abbas S. Milani:
Performance based earthquake evaluation of reinforced concrete buildings using design of experiments. Expert Syst. Appl. 39(3): 2919-2926 (2012) - 2011
- [j4]Harish C. Rajput, Abbas S. Milani, Andrew Labun:
Including time dependency and ANOVA in decision-making using the revised fuzzy AHP: A case study on wafer fabrication process selection. Appl. Soft Comput. 11(8): 5099-5109 (2011)
2000 – 2009
- 2008
- [j3]Ali Shanian, Abbas S. Milani, C. Carson, R. C. Abeyaratne:
A new application of ELECTRE III and revised Simos' procedure for group material selection under weighting uncertainty. Knowl. Based Syst. 21(7): 709-720 (2008) - [j2]Abbas S. Milani, Ali Shanian, Christine El-Lahham:
A decision-based approach for measuring human behavioral resistance to organizational change in strategic planning. Math. Comput. Model. 48(11-12): 1765-1774 (2008) - 2006
- [j1]Abbas S. Milani, Ali Shanian, Christine El-Lahham:
Using different ELECTRE methods in strategic planning in the presence of human behavioral resistance. Adv. Decis. Sci. 2006: 10936:1-10936:19 (2006)
Coauthor Index
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