| Constitutive models for predicting field-dependent viscoelastic behavior of magnetorheological elastomer using machine learning KD Saharuddin, MHM Ariff, I Bahiuddin, SA Mazlan, SAA Aziz, N Nazmi, ... Smart Materials and Structures 29 (8), 087001, 2020 | 16 | 2020 |
| Non-parametric multiple inputs prediction model for magnetic field dependent complex modulus of magnetorheological elastomer KD Saharuddin, MHM Ariff, I Bahiuddin, U Ubaidillah, SA Mazlan, ... Scientific Reports 12 (1), 2657, 2022 | 7 | 2022 |
| Prediction model of magnetorheological (MR) fluid damper hysteresis loop using extreme learning machine algorithm KD Saharuddin, MHM Ariff, K Mohmad, I Bahiuddin, Ubaidillah, ... Open Engineering 11 (1), 584-591, 2021 | 7 | 2021 |
| Modeling of magnetorheological elastomer rheological properties using artificial neural network KD Saharuddin, MHM Ariff, I Bahiuddin, SA Mazlan, SAA Aziz, N Nazmi, ... IOP Conference Series: Materials Science and Engineering 1051 (1), 012094, 2021 | 2 | 2021 |
| A Comparative Study on Various ANN Optimization Algorithms for Magnetorheological Elastomer Carbonyl Iron Particle Concentration Estimation KD Saharuddin, MHM Ariff, I Bahiuddin, N Nazmi, MAA Rahman, ... Journal of Advanced Research in Micro and Nano Engineering 16 (1), 124-133, 2024 | | 2024 |
| MODELING FOR VISCOELASTIC BEHAVIORS OF MAGNETORHEOLOGICAL ELASTOMER USING SINGLE HIDDEN LAYER FEED-FORWARD NEURAL NETWORK APPROACHES KDB SAHARUDDIN | | 2022 |
