Application of deep neural network to predict the high-cycle fatigue life of AISI 1045 steel coated by industrial coatings E Maleki, O Unal, SM Seyedi Sahebari, K Reza Kashyzadeh, I Danilov Journal of Marine Science and Engineering 10 (2), 128, 2022 | 23 | 2022 |
Applications, materials, and fabrication of micro glass parts and devices: An overview H Hamed, M Eldiasty, SM Seyedi-Sahebari, JD Abou-Ziki Materials Today, 2023 | 8 | 2023 |
Modeling and simulation of a suspended microchannel resonator nano-sensor M Zakeri, SM Seyedi Sahebari Microsystem Technologies 24, 1153-1166, 2018 | 5 | 2018 |
A novel approach for analyzing the effects of almen intensity on the residual stress and hardness of shot-peened (TiB+ TiC)/Ti–6Al–4V composite: Deep learning E Maleki, O Unal, SM Seyedi Sahebari, K Reza Kashyzadeh Materials 16 (13), 4693, 2023 | 4 | 2023 |
Neural network signal processing in spark assisted chemical engraving (SACE) micromachining SMS Sahebari, A Barari, JD Abou Ziki 2021 14th IEEE International conference on industry applications (INDUSCON …, 2021 | 4 | 2021 |
Enhancing Friction Stir Welding in Fishing Boat Construction through Deep Learning-Based Optimization E Maleki, O Unal, SMS Sahebari, KR Kashyzadeh, N Amiri Sustainable Marine Structures 5 (2), 1-14, 2023 | 1 | 2023 |
Intelligent characterization of spark-assisted chemical engraving (SACE) process using time series classification SM Seyedi Sahebari, Z Bassyouni, A Barari, JD Abou Ziki The International Journal of Advanced Manufacturing Technology 130 (1), 945-960, 2024 | | 2024 |
A Multitasking Environment for Real-Time Monitoring of Discharging Activity During SACE Process Using LSTM SMS Sahebari, A Barari, JD Abou Ziki 2023 15th IEEE International Conference on Industry Applications (INDUSCON …, 2023 | | 2023 |
A mechanism to detect lateral forces during Spark assisted chemical engraving microcutting V Trendov, A Barari, JD Abou Ziki, SM Seyedi Sahebari | | 2022 |