| Statistical-experimental study of geosynthetics performance on reflection cracking phenomenon FM Nejad, S Asadi, S Fallah, M Vadood Geotextiles and Geomembranes 44 (2), 178-187, 2016 | 57 | 2016 |
| Investigating the mechanical properties of carbon fibre-reinforced asphalt concrete F Moghadas Nejad, M Vadood, S Baeetabar Road materials and pavement design 15 (2), 465-475, 2014 | 49 | 2014 |
| Improvement of intelligent methods for evaluating the apparent quality of knitted fabrics D Semnani, M Vadood Engineering Applications of Artificial Intelligence 23 (2), 217-221, 2010 | 33 | 2010 |
| A hybrid artificial intelligence model to predict the color coordinates of polyester fabric dyed with madder natural dye M Vadood, A Haji Expert Systems with Applications 193, 116514, 2022 | 30 | 2022 |
| Optimization of acrylic dry spinning production line by using artificial neural network and genetic algorithm M Vadood, D Semnani, M Morshed Journal of Applied Polymer Science 120 (2), 735-744, 2011 | 30 | 2011 |
| Introducing a simple method to determine aggregate gradation of hot mix asphalt using image processing M Vadood, MS Johari, AR Rahaei International Journal of Pavement Engineering 15 (2), 142-150, 2014 | 28 | 2014 |
| Developing a hybrid artificial neural network-genetic algorithm model to predict resilient modulus of polypropylene/polyester fiber-reinforced asphalt concrete M Vadood, MS Johari, A Rahai The Journal of the Textile Institute 106 (11), 1239-1250, 2015 | 27 | 2015 |
| Environmentally benign dyeing of polyester fabric with madder: modelling by artificial neural network and fuzzy logic optimized by genetic algorithm A Haji, M Vadood Fibers and Polymers 22, 3351-3357, 2021 | 25 | 2021 |
| Investigating the effect of yarn count and twist factor on the packing density and wicking height of lyocell ring-spun yarns M Taheri, M Vadood, MS Johari Fibers and Polymers 14, 1548-1555, 2013 | 21 | 2013 |
| Predicting the color index of acrylic fiber using fuzzy-genetic approach M Vadood The Journal of the Textile Institute 105 (7), 779-788, 2014 | 20 | 2014 |
| Modeling the sound absorption behavior of carpets using artificial intelligence SH Paknejad, M Vadood, P Soltani, M Ghane The Journal of the Textile Institute 112 (11), 1763-1771, 2021 | 18 | 2021 |
| Modeling spun yarns migratory properties using artificial neural network P Soltani, M Vadood, MS Johari Fibers and Polymers 13, 1190-1195, 2012 | 18 | 2012 |
| Relationship between fatigue life of asphalt concrete and polypropylene/polyester fibers using artificial neural network and genetic algorithm M Vadood, MS Johari, AR Rahai Journal of central south university 22, 1937-1946, 2015 | 17 | 2015 |
| Prediction of polyester/cotton blended rotor-spun yarns hairiness based on the machine parameters V Ghorbani, M Vadood, MS Johari NISCAIR-CSIR, India, 2016 | 16 | 2016 |
| Multi objective optimization of rotorcraft compact spinning system using fuzzy-genetic model M Vadood, P Kheirkhah Barzoki, M Safar Johari The Journal of The Textile Institute 108 (12), 2166-2172, 2017 | 15 | 2017 |
| Optimization of fiber distribution in spunbond non-woven structure M Vadood, D Semnani Fibers and Polymers 12, 821-829, 2011 | 14 | 2011 |
| Modeling the properties of core-compact spun yarn using artificial neural network BP KHEIRKHAH, M Vadood, JM SAFAR JOURNAL OF TEXTILES AND POLYMERS 4 (2), 101-105, 2016 | 8 | 2016 |
| Application of ANN weighted by optimization algorithms to predict the color coordinates of cellulosic fabric in dyeing with binary mix of natural dyes M Vadood, A Haji Coatings 12 (10), 1519, 2022 | 7 | 2022 |
| Developing a new suit sizing system using neural network M Vadood, MS Esfandarani, MS Johari Journal of Engineered Fibers and Fabrics 10 (2), 155892501501000212, 2015 | 7 | 2015 |
| Multi-objective optimization of rotorcraft compact spinning core-spun yarn properties P Kheirkhah Barzoki, M Vadood, M Safar Johari Journal of Textiles and Polymers 6 (1), 47-53, 2018 | 6 | 2018 |
