harnedi maizir
harnedi maizir
Lecturer of Sekolah Tinggi Teknologi Pekanbaru
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Perilaku Mekanik Bata Ringan dengan Penambahan Silica Fume
Y Subagiono, H Maizir, R Suryanita
Jurnal Rekayasa Sipil (JRS-Unand) 16 (3), 194-204, 2020
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
Numerical Modeling of Skin Resistance Distribution With Depth in Piles
R Nazir, E Momeni, N Gofar, H Maizir
Electronic Journal on Geotechnical Engineering, 2013
Evaluation of shaft bearing capacity of single driven pile using neural network
H Maizir
Proceedings of the international multiconference of engineers and computer …, 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
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