Prof. Dr. Edy Tonnizam Mohamad
Prof. Dr. Edy Tonnizam Mohamad
Professor, Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, UTM
Email yang diverifikasi di utm.my
JudulDikutip olehTahun
Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
DJ Armaghani, M Hajihassani, ET Mohamad, A Marto, SA Noorani
Arabian Journal of Geosciences 7 (12), 5383-5396, 2014
1412014
Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm
M Hajihassani, DJ Armaghani, A Marto, ET Mohamad
Bulletin of Engineering Geology and the Environment 74 (3), 873-886, 2015
1242015
Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization
M Hajihassani, DJ Armaghani, H Sohaei, ET Mohamad, A Marto
Applied Acoustics 80, 57-67, 2014
1002014
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
DJ Armaghani, ET Mohamad, MS Narayanasamy, N Narita, S Yagiz
Tunnelling and Underground Space Technology 63, 29-43, 2017
842017
Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach
ET Mohamad, DJ Armaghani, E Momeni, SVANK Abad
Bulletin of Engineering Geology and the Environment 74 (3), 745-757, 2015
842015
Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach
M Hajihassani, DJ Armaghani, M Monjezi, ET Mohamad, A Marto
Environmental Earth Sciences 74 (4), 2799-2817, 2015
812015
A combination of the ICA-ANN model to predict air-overpressure resulting from blasting
DJ Armaghani, M Hasanipanah, ET Mohamad
Engineering with Computers 32 (1), 155-171, 2016
792016
A novel approach for blast-induced flyrock prediction based on imperialist competitive algorithm and artificial neural network
A Marto, M Hajihassani, D Jahed Armaghani, E Tonnizam Mohamad, ...
The Scientific World Journal 2014, 2014
732014
An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite
DJ Armaghani, ET Mohamad, E Momeni, MS Narayanasamy
Bulletin of engineering geology and the environment 74 (4), 1301-1319, 2015
702015
Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network
DJ Armaghani, M Hajihassani, BY Bejarbaneh, A Marto, ET Mohamad
Measurement 55, 487-498, 2014
642014
Feasibility of ICA in approximating ground vibration resulting from mine blasting
DJ Armaghani, M Hasanipanah, HB Amnieh, ET Mohamad
Neural Computing and Applications 29 (9), 457-465, 2018
562018
Three hybrid intelligent models in estimating flyrock distance resulting from blasting
M Koopialipoor, A Fallah, DJ Armaghani, A Azizi, ET Mohamad
Engineering with Computers 35 (1), 243-256, 2019
552019
Improvement of problematic soils with biopolymer—an environmentally friendly soil stabilizer
N Latifi, S Horpibulsuk, CL Meehan, MZ Abd Majid, MM Tahir, ...
Journal of Materials in Civil Engineering 29 (2), 04016204, 2017
552017
Prediction of the strength and elasticity modulus of granite through an expert artificial neural network
DJ Armaghani, ET Mohamad, E Momeni, M Monjezi, MS Narayanasamy
Arabian Journal of Geosciences 9 (1), 48, 2016
552016
Application of two intelligent systems in predicting environmental impacts of quarry blasting
DJ Armaghani, M Hajihassani, M Monjezi, ET Mohamad, A Marto, ...
Arabian Journal of Geosciences 8 (11), 9647-9665, 2015
552015
Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods
DJ Armaghani, ET Mohamad, M Hajihassani, SVANK Abad, A Marto, ...
Engineering with Computers 32 (1), 109-121, 2016
522016
Neuro-fuzzy technique to predict air-overpressure induced by blasting
DJ Armaghani, M Hajihassani, H Sohaei, ET Mohamad, A Marto, ...
Arabian Journal of Geosciences 8 (12), 10937-10950, 2015
522015
An optimized ANN model based on genetic algorithm for predicting ripping production
ET Mohamad, RS Faradonbeh, DJ Armaghani, M Monjezi, MZA Majid
Neural Computing and Applications 28 (1), 393-406, 2017
472017
Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances
DJ Armaghani, ET Mohamad, M Hajihassani, S Yagiz, H Motaghedi
Engineering with Computers 32 (2), 189-206, 2016
462016
Groundwater detection in alluvium using 2-D electrical resistivity tomography (ERT)
R Saad, MNM Nawawi, ET Mohamad
Electronic Journal of Geotechnical Engineering 17, 369-376, 2012
462012
Sistem tidak dapat melakukan operasi ini. Coba lagi nanti.
Artikel 1–20