Data-driven methods for stress field predictions in random heterogeneous materials E Hoq, O Aljarrah, J Li, J Bi, A Heryudono, W Huang Engineering Applications of Artificial Intelligence 123, 106267, 2023 | 14 | 2023 |
Predicting part distortion field in additive manufacturing: a data-driven framework O Aljarrah, J Li, A Heryudono, W Huang, J Bi Journal of Intelligent Manufacturing 34 (4), 1975-1993, 2023 | 12 | 2023 |
ARIMA-GMDH: a low-order integrated approach for predicting and optimizing the additive manufacturing process parameters O Aljarrah, J Li, W Huang, A Heryudono, J Bi The International Journal of Advanced Manufacturing Technology 106 (1), 701-717, 2020 | 8 | 2020 |
A Self-Organizing Evolutionary Method to Model and Optimize Correlated Multiresponse Metrics for Additive Manufacturing Processes O Aljarrah, W Huang, J Li, A Heryudono, J Bi Smart and Sustainable Manufacturing Systems 3 (2), 190-214, 2019 | 3 | 2019 |
Extracting firm performance using a financial statement: a case study in Jordan O Aljarrah, RD Groof International Journal of Decision Sciences, Risk and Management 7 (4), 299-315, 2017 | 2 | 2017 |
Influence of build orientation and support structure on additive manufacturing of human knee replacements: a computational study S DeCarvalho, O Aljarrah, Z Chen, J Li Medical & Biological Engineering & Computing, 1-13, 2024 | | 2024 |
Residual Stress simulation in additive manufacturing: A Data-Driven Framework O Aljarrah, J Li, W Huang, A Heryudono, J Bi SIAMM21 106, 43, 0 | | |