| Prediction of Mechanical Properties of Light Weight Brick Composition Using Artificial Neural Network on Autoclaved Aerated Concrete AM Zul kifli , Munzir Absa Asian Journal of Applied Sciences 5 (2018), 556-565, 2017 | 6 | 2017 |
| Optimization of thermal conductivity lightweight brick type AAC (Autoclaved Aerated Concrete) effect of Si & Ca composition by using Artificial Neural Network (ANN) ZGP Wiryawan1 Journal of Physics: Conference Series 997 (2018), 2018 | 5 | 2018 |
| Leakage Current Test at Household Refrigerator Type Urg-129 Base Standard Nasional Indonesia (Sni) 04-6292.2. 24-2001 For Safety Equipment Z Ali Musyafa, Yerri Susatio Asian journal of natural and applied sciences 3 (4), 23-34, 2014 | 2 | 2014 |
| Prediction of the density & thermal conductivity of light bricks on the effect of Alluminium elements using artificial neural network (ANN) GP Zulkifli Materials Science Forum (MSF), 270-279, 2019 | 1 | 2019 |
| Prediction of Effective Thermal Conductivity in Light Brick-Autoclaved Aerated Concrete With the material Additive Composition Variations Using Artificial Neural Network … AM 1Zulkifli, 2Detak Yan Pratama, 3Dyah Sawitri ADVANCES in NATURAL and APPLIED SCIENCES 11 (2017), Pages: 85-93, 2017 | | 2017 |
| Prediction of Ceramic’s Mechanical Properties Based on Sintering Temperature using Neural Network Z Abdullah, DY Pratama, S Dyah, PA Darwito IPTEK Journal of Proceedings Series 2 (1), 205-206, 2016 | | 2016 |
| The Application of Neural Network for Predicting Corrotion Rate in Metal Pipe Installation Z Abdullah, DY Pratama, D Sawitri, DD Risanti IPTEK Journal of Proceedings Series 1 (1), 337-341, 2015 | | 2015 |
Ali MusyafaSepuluh Nopember Institute of TechnologyVerified email at ep.its.ac.id
