| A state of art on magneto-rheological materials and their potential applications R Ahamed, SB Choi, MM Ferdaus Journal of Intelligent Material Systems and Structures 29 (10), 2051-2095, 2018 | 327 | 2018 |
| A review of advances in magnetorheological dampers: their design optimization and applications M Rahman, ZC Ong, S Julai, MM Ferdaus, R Ahamed J. Zhejiang Univ. Sci. A 18 (12), 991-1010, 2017 | 104 | 2017 |
| Advancement in energy harvesting magneto-rheological fluid damper: A review R Ahamed, MM Ferdaus, Y Li Korea-Australia Rheology Journal 28, 355-379, 2016 | 73 | 2016 |
| Palm: An incremental construction of hyperplanes for data stream regression MM Ferdaus, M Pratama, SG Anavatti, MA Garratt IEEE Transactions on Fuzzy Systems 27 (11), 2115-2129, 2019 | 64 | 2019 |
| Optimal design of Magneto-Rheological damper comparing different configurations by finite element analysis MM Ferdaus, MM Rashid, MH Hasan, MA Rahman Journal of mechanical science and technology 28, 3667-3677, 2014 | 62 | 2014 |
| PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles MM Ferdaus, M Pratama, SG Anavatti, MA Garratt, E Lughofer Information sciences 512, 481-505, 2020 | 61 | 2020 |
| Generic evolving self-organizing neuro-fuzzy control of bio-inspired unmanned aerial vehicles MM Ferdaus, M Pratama, SG Anavatti, MA Garratt, Y Pan IEEE Transactions on Fuzzy Systems 28 (8), 1542-1556, 2019 | 58 | 2019 |
| Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review MM Ferdaus, SG Anavatti, M Pratama, MA Garratt Artificial Intelligence Review 53 (1), 257-290, 2020 | 54 | 2020 |
| Fuzzy clustering based nonlinear system identification and controller development of pixhawk based quadcopter MM Ferdaus, SG Anavatti, MA Garratt, M Pratama 2017 Ninth International Conference on Advanced Computational Intelligence …, 2017 | 37 | 2017 |
| Transfer learning-based artificial intelligence-integrated physical modeling to enable failure analysis for 3 nanometer and smaller silicon-based CMOS transistors J Pan, KL Low, J Ghosh, S Jayavelu, MM Ferdaus, SY Lim, E Zamburg, ... ACS Applied Nano Materials 4 (7), 6903-6915, 2021 | 31 | 2021 |
| Design and fabrication of a simple cost effective spin coater for deposition of thin film MM Ferdaus, MM Rashid, MA Rahman Adv. Environ. Biol 8 (3), 729-733, 2014 | 25 | 2014 |
| Development of c-means clustering based adaptive fuzzy controller for a flapping wing micro air vehicle MM Ferdaus, SG Anavatti, MA Garratt, M Pratama Journal of Artificial Intelligence and Soft Computing Research 9 (2), 99-109, 2019 | 23 | 2019 |
| Temperature effect analysis on magneto-rheological damper’s performance MM Ferdaus, M Rashid, MH Hasan, HBM Yosuf, M Bhuiyan, A Alraddadi Journal of Automation and Control Engineering Vol 2 (4), 2014 | 23 | 2014 |
| Modelling and performance evaluation of energy harvesting linear magnetorheological (MR) damper R Ahamed, MM Rashid, MM Ferdaus, HB Yusuf Journal of Low Frequency Noise, Vibration and Active Control 36 (2), 177-192, 2017 | 22 | 2017 |
| Development of electronic rain gauge system MM Rashid, MRM Romlay, MM Ferdaus, A Al-Mamun International Journal of Electronics and Electrical Engineering 3 (4), 245-9, 2015 | 22 | 2015 |
| ANSYS finite element design of an energy saving magneto-rheological damper with improved dispersion stability MM Rashid, MM Ferdaus, MH Hasan, A Rahman Journal of mechanical science and technology 29, 2793-2802, 2015 | 20 | 2015 |
| Online identification of a rotary wing unmanned aerial vehicle from data streams MM Ferdaus, M Pratama, SG Anavatti, MA Garratt Applied Soft Computing 76, 313-325, 2019 | 19 | 2019 |
| A generic self-evolving neuro-fuzzy controller based high-performance hexacopter altitude control system MM Ferdaus, M Pratama, SG Anavatti, M Garratt 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 18 | 2018 |
| Design and modeling of energy generated magneto rheological damper R Ahamed, MM Rashid, MM Ferdaus, HM Yusof Korea-Australia Rheology Journal 28, 67-74, 2016 | 18 | 2016 |
| Multiobjective automated type-2 parsimonious learning machine to forecast time-varying stock indices online MM Ferdaus, RK Chakrabortty, MJ Ryan IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (5), 2874-2887, 2021 | 15 | 2021 |
Sreenatha Anavattiuniversity of New South WalesZweryfikowany adres z adfa.edu.au
