| Tool condition monitoring for high-performance machining systems—A review A Mohamed, M Hassan, R M’Saoubi, H Attia Sensors 22 (6), 2206, 2022 | 61 | 2022 |
| Novel sensor-based tool wear monitoring approach for seamless implementation in high speed milling applications M Hassan, A Sadek, MH Attia CIRP Annals 70 (1), 87-90, 2021 | 31 | 2021 |
| Benchmarking of pattern recognition techniques for online tool wear detection M Hassan, A Damir, H Attia, V Thomson Procedia CIRP 72, 1451-1456, 2018 | 25 | 2018 |
| A novel approach for real-time prediction and prevention of tool chipping in intermittent turning machining M Hassan, A Sadek, A Damir, MH Attia, V Thomson CIRP Annals 67 (1), 41-44, 2018 | 25 | 2018 |
| A novel generalized approach for real-time tool condition monitoring M Hassan, A Sadek, MH Attia, V Thomson Journal of Manufacturing Science and Engineering 140 (2), 021010, 2018 | 24 | 2018 |
| Intelligent machining: real-time tool condition monitoring and intelligent adaptive control systems M Hassan, A Sadek, MH Attia, V Thomson Journal of Machine Engineering 18 (1), 5--17, 2018 | 23 | 2018 |
| A smart tool wear prediction model in drilling of woven composites H Hegab, M Hassan, S Rawat, A Sadek, H Attia The International Journal of Advanced Manufacturing Technology 110, 2881-2892, 2020 | 15 | 2020 |
| A new cyber-physical adaptive control system for drilling of hybrid stacks A Sadek, M Hassan, MH Attia CIRP Annals 69 (1), 105-108, 2020 | 12 | 2020 |
| A generalized multisensor real-time tool condition–monitoring approach using deep recurrent neural network M Hassan, A Sadek, MH Attia Smart and Sustainable Manufacturing Systems 3 (2), 41-52, 2019 | 11 | 2019 |
| Tool pre-failure monitoring in intermittent cutting operations M Hassan, A Sadek, A Damir, MH Attia, V Thomson ASME International Mechanical Engineering Congress and Exposition 50527 …, 2016 | 8 | 2016 |
| Intelligent Cyber-Physical Monitoring and Control of I4. 0 Machining Systems-An Overview and Future Perspectives M Hassan, A Sadek, MH Attia Journal of Machine Engineering 22 (1), 5-24, 2022 | 4 | 2022 |
| Hybrid offline-online optimization, monitoring and control of milling processes H Gohari, A Mohamed, M Hassan, R M'Saoubi, H Attia CIRP Annals 72 (1), 85-88, 2023 | 2 | 2023 |
| Generalized sensor-based tool failure detection and prevention system for intermittent cutting operations M Hassan McGill University (Canada), 2019 | 2 | 2019 |
| Finite Element Synthesis for Design Optimization MR Saad, SM Metwalli International Design Engineering Technical Conferences and Computers and …, 2012 | 2 | 2012 |
| High-Performance Machining System: Process Optimization for a Cyber-Physical System–a Review H Gohari, M Hassan, B Shi, A Sadek, H Attia, R M’Saoubi Preprints, 2024 | 1 | 2024 |
| A Real-Time Deep Machine Learning Approach for Sudden Tool Failure Prediction and Prevention in Machining Processes M Hassan, A Sadek, H Attia Sensors 23 (8), 3894, 2023 | 1 | 2023 |
| Real-time Tool Prefailure Detection in Conventional and High-Speed Milling Applications M Hassan, A Sadek, H Attia, V Thomson Procedia CIRP 118, 448-453, 2023 | 1 | 2023 |
| Present Status and Future Directions of High Performance Cutting in Aerospace Manufacturing A Sadek, Z Shi, B Shi, A Damir, M Hassan, M Meshreki, H Attia Proceedings of the Machining Innovations Conference (MIC), 2020 | | 2020 |
| Heuristic GP Finite Element Method for Structural Thickness Optimization MR Saad, SM Metwalli ASME International Mechanical Engineering Congress and Exposition 56413 …, 2013 | | 2013 |
Helmi AttiaMcGill University, National Research Council CanadaVerified email at mcgill.ca
