| Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms M Jalayer, C Orsenigo, C Vercellis Computers in Industry 125, 103378, 2021 | 204 | 2021 |
| 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 |
| A hybrid algorithm based on community detection and multi attribute decision making for influence maximization M Jalayer, M Azheian, MAMA Kermani Computers & Industrial Engineering 120, 234-250, 2018 | 31 | 2018 |
| CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19 M Jalayer, C Orsenigo, C Vercellis arXiv preprint arXiv:2007.13231, 2020 | 26 | 2020 |
| Opinion-Aware influence maximization: How to maximize a favorite opinion in a social network? MAMA Kermani, R Ghesmati, M Jalayer Advances in Complex Systems 21 (06n07), 1850022, 2018 | 18* | 2018 |
| Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery M Jalayer, A Kaboli, C Orsenigo, C Vercellis Machines 10 (4), 237, 2022 | 17 | 2022 |
| Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN M Jalayer, R Jalayer, A Kaboli, C Orsenigo, C Vercellis 2021 IEEE International Conference on Industry 4.0, Artificial Intelligence …, 2021 | 14 | 2021 |
| 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 |
| 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 stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19. arXiv [Internet]. 2020 Jul 26 [cited 2020 Sep 19] M Jalayer, C Orsenigo, CCVABM Vercellis | 4 | 2007 |
| A Model Identification Forensics Approach for Signal-Based Condition Monitoring M Jalayer, A Shojaeinasab, H Najjaran International Conference on Flexible Automation and Intelligent …, 2023 | 3* | 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 |
| 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 |
| A Conceptual Framework for Localization of Active Sound Sources in Manufacturing Environment Based on Artificial Intelligence R Jalayer, M Jalayer, C Orsenigo, C Vercellis International Conference on Flexible Automation and Intelligent …, 2023 | | 2023 |
| InsightiGen: a versatile tool to generate insight for an academic systematic literature review A Shojaeinasab, J Masoud, H Najjaran ArXiv, 2022 | | 2022 |
| A Model Identification Forensics Approach for Signal-Based Condition Monitoring A Shojaeinasab, H Najjaran | | |
Carlotta OrsenigoPolitecnico di MilanoVerified email at polimi.it
