| Machine learning models for predicting and classifying the tensile strength of polymeric films fabricated via different production processes S Altarazi, R Allaf, F Alhindawi Materials 12 (9), 1475, 2019 | 41 | 2019 |
| Deep learning strategies for critical heat flux detection in pool boiling SM Rassoulinejad-Mousavi, F Al-Hindawi, T Soori, A Rokoni, H Yoon, ... Applied Thermal Engineering 190, 116849, 2021 | 33 | 2021 |
| Predicting the tensile strength of extrusion-blown high density polyethylene film using machine learning algorithms F Alhindawi, S Altarazi 2018 IEEE International Conference on Industrial Engineering and Engineering …, 2018 | 11 | 2018 |
| A framework for generalizing critical heat flux detection models using unsupervised image-to-image translation F Al-Hindawi, T Soori, H Hu, MMR Siddiquee, H Yoon, T Wu, Y Sun Expert Systems with Applications 227, 120265, 2023 | 9* | 2023 |
| Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain Classification F Al-Hindawi, MMR Siddiquee, T Wu, H Hu, Y Sun Engineering Applications of Artificial Intelligence 127, 107255, 2024 | 1 | 2024 |
| BlobCUT: A Contrastive Learning Method to Support Small Blob Detection in Medical Imaging T Li, Y Xu, T Wu, JR Charlton, KM Bennett, F Al-Hindawi Bioengineering 10 (12), 1372, 2023 | 1 | 2023 |
| Deep Learning Strategies for Critical Heat Flux Detection in Pool Boiling F Al-Hindawi Arizona state university, 2021 | 1 | 2021 |
| Deep Learning Strategies for Critical Heat Flux Detection in Boiling Y Sun, M Rassoulinejad-Mousavi, T Soori, F Al-Hindawi, H Yoon, T Wu, ... APS Division of Fluid Dynamics Meeting Abstracts, R03. 007, 2020 | | 2020 |
