| Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling M Marani, M Zeinali, V Songmene, CK Mechefske Measurement 177, 109329, 2021 | 84 | 2021 |
| A review of design and modeling of magnetorheological valve AY Abd Fatah, SA Mazlan, T Koga, H Zamzuri, M Zeinali, F Imaduddin International Journal of Modern Physics B 29 (04), 1530004, 2015 | 81 | 2015 |
| Prediction of multiphase flow pattern inside a 3D bubble column reactor using a combination of CFD and ANFIS M Pourtousi, M Zeinali, P Ganesan, JN Sahu Rsc Advances 5 (104), 85652-85672, 2015 | 63 | 2015 |
| A phenomenological dynamic model of a magnetorheological damper using a neuro-fuzzy system M Zeinali, SA Mazlan, AY Abd Fatah, H Zamzuri Smart Materials and Structures 22 (12), 125013, 2013 | 47 | 2013 |
| Adaptive-network-based fuzzy inference system analysis to predict the temperature and flow fields in a lid-driven cavity CSN Azwadi, M Zeinali, A Safdari, A Kazemi Numerical Heat Transfer, Part A: Applications 63 (12), 906-920, 2013 | 47 | 2013 |
| Prediction of cutting tool wear during a turning process using artificial intelligence techniques M Marani, M Zeinali, J Kouam, V Songmene, CK Mechefske The International Journal of Advanced Manufacturing Technology 111, 505-515, 2020 | 42 | 2020 |
| Neuro-fuzzy predictive model for surface roughness and cutting force of machined Al–20 Mg2Si–2Cu metal matrix composite using additives M Marani, V Songmene, M Zeinali, J Kouam, Y Zedan Neural Computing and Applications 32, 8115-8126, 2020 | 35 | 2020 |
| Influence of piston and magnetic coils on the field-dependent damping performance of a mixed-mode magnetorheological damper M Zeinali, SA Mazlan, SB Choi, F Imaduddin, LH Hamdan Smart Materials and Structures 25 (5), 055010, 2016 | 27 | 2016 |
| Experiments and modeling of a new magnetorheological cell under combination of flow and shear-flow modes MJ Mughni, M Zeinali, SA Mazlan, H Zamzuri, MAA Rahman Journal of Non-Newtonian Fluid Mechanics 215, 70-79, 2015 | 21 | 2015 |
| Fuzzy PID controller simulation for a quarter-car semi-active suspension system using Magnetorheological damper M Zeinali, IZM Darus 2012 IEEE Conference on Control, Systems & Industrial Informatics (ICCSII …, 2012 | 15 | 2012 |
| Neuro-fuzzy based predictive model for cutting force in CNC turning process of Al–Si–Cu cast alloy using modifier elements M Marani, M Zeinali, S Farahany, CK Mechefske SN Applied Sciences 3, 1-11, 2021 | 12 | 2021 |
| Magnetorheological Fluid Characterization and Applications M Zeinali, SA Mazlan, F Imaduddin, AYA Fatah, MJ Mughni, LH Hamdan, ... Reference Module in Materials Science and Materials Engineering, 2014 | 9 | 2014 |
| Influence of fuzzy-PID controller on semi-active suspension system performance using magnetorheological damper fuzzy model M Zeinali, SA Mazlan, MA Abdul Rahman Applied Mechanics and Materials 663, 243-247, 2014 | 8 | 2014 |
| A GA-weighted adaptive neuro-fuzzy model to predict the behaviour of magnetorheological damper M Zeinali, SA Mazlan, AY Abd Fatah, H Zamzuri Applied Mechanics and Materials 663, 203-207, 2014 | 6 | 2014 |
| Design and Optimization of Innovative Magnetorheological Damper with Low Temperature M Zeinali Universiti Teknologi Malaysia, 2015 | 2 | 2015 |
| Effect of front double wishbone strut position on vehicle steering and suspension performance M Zeinali, IZM Darus, AH Taghavi 2012 IEEE Conference on Control, Systems & Industrial Informatics (ICCSII …, 2012 | 2 | 2012 |
| Intelligent Robust Controller for Semi Active Suspension System M Zeinali Universiti Teknologi Malaysia, 2012 | 1 | 2012 |
| The Development of a Robotic Digital Twin for the Life Science Sector EP Hinchy, N Cunningham, A Doohan, M Hassanpour, E Nwanji, ... International Conference on Flexible Automation and Intelligent …, 2023 | | 2023 |
Saiful Amri MazlanUniversiti Teknologi MalaysiaVerified email at utm.my
