Intelligent manufacturing execution systems: A systematic review A Shojaeinasab, T Charter, M Jalayer, M Khadivi, O Ogunfowora, ... Journal of Manufacturing Systems 62, 503-522, 2022 | 87 | 2022 |
Synthesizing rolling bearing fault samples in new conditions: A framework based on a modified CGAN M Ahang, M Jalayer, A Shojaeinasab, O Ogunfowora, T Charter, ... Sensors 22 (14), 5413, 2022 | 13 | 2022 |
Mixing detection on Bitcoin transactions using statistical patterns A Shojaeinasab, AP Motamed, B Bahrak IET Blockchain, 2023 | 8 | 2023 |
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions M Khadivi, T Charter, M Yaghoubi, M Jalayer, M Ahang, A Shojaeinasab, ... arXiv preprint arXiv:2310.03195, 2023 | 4 | 2023 |
A Model Identification Forensics Approach for Signal-Based Condition Monitoring M Jalayer, A Shojaeinasab, H Najjaran International Conference on Flexible Automation and Intelligent …, 2023 | 1 | 2023 |
Unveiling the black box: a unified XAI framework for signal-based deep learning models A Shojaeinasab, M Jalayer, A Baniasadi, H Najjaran Machines 12 (2), 121, 2024 | | 2024 |
Mixing Solutions in Bitcoin and Ethereum Ecosystems: A Review and Tutorial A Arbabi, A Shojaeinasab, B Bahrak, H Najjaran arXiv preprint arXiv:2310.04899, 2023 | | 2023 |
Check for updates A Model Identification Forensics Approach for Signal-Based Condition Monitoring M Jalayer¹, ASA Shojaeinasab, H Najjaran Flexible Automation and Intelligent Manufacturing: Establishing Bridges for …, 2023 | | 2023 |
InsightiGen: a versatile tool to generate insight for an academic systematic literature review A Shojaeinasab, M Jalayer, H Najjaran arXiv preprint arXiv:2208.01752, 2022 | | 2022 |