Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN E Momeni, R Nazir, DJ Armaghani, H Maizir Measurement 57, 122-131, 2014 | 380 | 2014 |
Application of artificial neural network for predicting shaft and tip resistances of concrete piles E Momeni, R Nazir, DJ Armaghani, H Maizir Earth Sciences Research Journal 19 (1), 85-93, 2015 | 146 | 2015 |
Gaussian process regression technique to estimate the pile bearing capacity E Momeni, MB Dowlatshahi, F Omidinasab, H Maizir, DJ Armaghani Arabian Journal for Science and Engineering 45, 8255-8267, 2020 | 104 | 2020 |
An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity DJ Armaghani, H Harandizadeh, E Momeni, H Maizir, J Zhou Artificial Intelligence Review, 1-38, 2022 | 82 | 2022 |
Comparative study on prediction of axial bearing capacity of driven piles in granular materials E Momeni, H Maizir, N Gofar, R Nazir Jurnal Teknologi 61 (3), 2013 | 40 | 2013 |
An Artificial Neural Network Approach for Prediction of Bearing Capacity of Spread Foundations in Sand R Nazir, E Momeni, K Marsono, H Maizir neural networks 18, 19, 2014 | 38 | 2014 |
The effect of silica fume admixture on the compressive strength of the cellular lightweight concrete R Suryanita, H Maizir, R Zulapriansyah, Y Subagiono, MF Arshad Results in Engineering 14, 100445, 2022 | 37 | 2022 |
Neural network application in prediction of axial bearing capacity of driven piles H Maizir, KA Kassim Proceedings of the international multiconference of engineers and computer …, 2013 | 37 | 2013 |
Prediction of Structural Response Based on Ground Acceleration Using Artificial Neural Networks RS Reni Suryanita, Harnedi Maizir, Hendra Jingga International Journal of Technology and Engineering Studies 3 (2), 74-83, 2017 | 16 | 2017 |
Estimation of pile bearing capacity of single driven pile in sandy soil using finite element and artificial neural network methods H Maizir, R Suryanita, H Jingga Int J Appl Phys Sci 2, 45-50, 2016 | 16 | 2016 |
Experimental study on performance of cellular lightweight concrete due to exposure high temperature R Suryanita, Y Firzal, H Maizir, I Mustafa, MFB Arshad GEOMATE Journal 21 (83), 20-27, 2021 | 12 | 2021 |
Evaluation of axial pile bearing capacity based on pile driving analyzer (PDA) test using Neural Network H Maizir, R Suryanita IOP Conference Series: Earth and Environmental Science 106, 012037, 2018 | 12 | 2018 |
Pembuatan Peta Tematik Menggunakan Sistem Informasi Geografis (SIG) Pada Desa Teluk Latak R Saily, H Maizir, D Yasri Indonesian Journal of Construction Engineering and Sustainable Development …, 2021 | 10 | 2021 |
Effect of SVM kernel functions on bearing capacity assessment of deep foundations D Jahed Armaghani, YY Ming, A Salih Mohammed, E Momeni, H Maizir Journal of Soft Computing in Civil Engineering 7 (3), 111-128, 2023 | 9 | 2023 |
Damage level prediction of reinforced concrete building based on earthquake time history using artificial neural network R Suryanita, H Maizir, E Yuniarto, M Zulfakar, H Jingga MATEC Web of Conferences 138, 02024, 2017 | 9 | 2017 |
Numerical Modeling of Skin Resistance Distribution With Depth in Piles R Nazir, E Momeni, N Gofar, H Maizir Electronic Journal on Geotechnical Engineering, 2013 | 8 | 2013 |
Study on performance of lightweight concrete bricks with a ratio of sand and cement composition H Maizir, R Suryanita, R Arditama IOP Conference Series: Materials Science and Engineering 615 (1), 012105, 2019 | 7 | 2019 |
Perilaku Mekanik Bata Ringan Dengan Penambahan Silica Fume Y Subagiono, H Maizir, R Suryanita Jurnal Rekayasa Sipil (JRS-Unand) 16 (3), 194-204, 2020 | 6 | 2020 |
Evaluation of shaft bearing capacity of single driven pile using neural network H Maizir Proceedings of the international multiconference of engineers and computer …, 2017 | 6 | 2017 |
Prediction of structural response due to earthquake load using artificial neural networks R Suryanita, H Maizir, H Jingga Int. Conf. Eng. Technol. Comput. Basic Appl. Sci. ECBA, 2016, Osaka, Japan …, 2016 | 6 | 2016 |