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Mahmoud Seyedi
Mahmoud Seyedi
PhD Candidate at Ontario Tech University
Verified email at ontariotechu.net
Title
Cited by
Cited by
Year
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
232022
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
82023
Modeling and simulation of a suspended microchannel resonator nano-sensor
M Zakeri, SM Seyedi Sahebari
Microsystem Technologies 24, 1153-1166, 2018
52018
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
42023
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
42021
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
12023
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
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