| Layer-wise modeling and anomaly detection for laser-based additive manufacturing SH Seifi, W Tian, H Doude, MA Tschopp, L Bian Journal of Manufacturing Science and Engineering 141 (8), 081013, 2019 | 72 | 2019 |
| A spherical fuzzy methodology integrating maximizing deviation and TOPSIS methods E Farrokhizadeh, SA Seyfi-Shishavan, FK Gündoğdu, Y Donyatalab, ... Engineering Applications of Artificial Intelligence 101, 104212, 2021 | 63 | 2021 |
| In Situ Nondestructive Fatigue‐Life Prediction of Additive Manufactured Parts by Establishing a Process–Defect–Property Relationship SH Seifi, A Yadollahi, W Tian, H Doude, VH Hammond, L Bian Advanced Intelligent Systems 3 (12), 2000268, 2021 | 15 | 2021 |
| Hamacher aggregation operators based on interval-valued q-rung orthopair fuzzy sets and their applications to decision making problems Y Donyatalab, E Farrokhizadeh, SAS Shishavan, SH Seifi International Conference on Intelligent and Fuzzy Systems, 466-474, 2020 | 14 | 2020 |
| In-Situ Fatigue Prediction of Direct Laser Deposition Parts Based on Thermal Profile SH Seifi, W Tian, A Yadollahi, H Doude, L Bian ASME International Mechanical Engineering Congress and Exposition 59384 …, 2019 | 9 | 2019 |
| Layer-wise profile monitoring of laser-based additive manufacturing SH Seifi, W Tian, H Doude, MA Tschopp, L Bian University of Texas at Austin, 2018 | 2 | 2018 |
| Using Machine Learning Techniques to Model the Process-Structure-Property Relationship in Additive Manufacturing SHS Shishavan Mississippi State University, 2021 | | 2021 |
| Interval Valued q-Rung Orthopair Fuzzy EDAS Method and Its Application to Supplier Selection E Farrokhizadeh, SA Seyfi Shishavan, Y Donyatalab, SH Seifi International Conference on Intelligent and Fuzzy Systems, 457-465, 2020 | | 2020 |
| Interval Valued q-Rung Orthopair Fuzzy EDAS Method and Its Application to Supplier Selection Y Donyatalab, SH Seifi Intelligent and Fuzzy Techniques: Smart and Innovative Solutions …, 2020 | | 2020 |
