Prof. Dr. Edy Tonnizam Mohamad
Prof. Dr. Edy Tonnizam Mohamad
Professor, Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, UTM
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Cited by
Cited by
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
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, 5383-5396, 2014
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
Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm
M Hajihassani, DJ Armaghani, A Marto, ET Mohamad
Bull Eng Geol Environ 74 (3), 873-886, 2015
Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors
ES Chahnasir, Y Zandi, M Shariati, E Dehghani, A Toghroli, ET Mohamad, ...
Smart structures and systems 22 (4), 413-424, 2018
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
Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach
ET Mohamad, D Jahed Armaghani, E Momeni, ...
Bulletin of Engineering Geology and the Environment 74, 745-757, 2015
Application of ANFIS technique on performance of C and L shaped angle shear connectors
Y Sedghi, Y Zandi, M Shariati, E Ahmadi, VM Azar, A Toghroli, M Safa, ...
Smart structures and systems 22 (3), 335-340, 2018
An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite
D Jahed Armaghani, E Tonnizam Mohamad, E Momeni, ...
Bulletin of engineering geology and the environment 74, 1301-1319, 2015
A review on pavement porous concrete using recycled waste materials
A Toghroli, M Shariati, F Sajedi, Z Ibrahim, S Koting, ET Mohamad, ...
Smart Struct. Syst 22 (4), 433-440, 2018
Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach
M Hajihassani, D Jahed Armaghani, M Monjezi, ET Mohamad, A Marto
Environmental Earth Sciences 74, 2799-2817, 2015
Prediction of the strength and elasticity modulus of granite through an expert artificial neural network
DJ Armaghani, E Tonnizam Mohamad, E Momeni, M Monjezi, ...
Arabian Journal of Geosciences 9, 1-16, 2016
Rock strength estimation: a PSO-based BP approach
ET Mohamad, DJ Armaghani, E Momeni, AH Yazdavar, M Ebrahimi
Neural Computing and Applications 30, 1635-1646, 2018
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, 243-256, 2019
Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization
J Zhou, Y Qiu, S Zhu, DJ Armaghani, M Khandelwal, ET Mohamad
Underground Space 6 (5), 506-515, 2021
A novel approach for blast-induced flyrock prediction based on imperialist competitive algorithm and artificial neural network
A Marto, M Hajihassani, DJ Armaghani, ET Mohamad, AM Makhtar
The Scientific World Journal 2014, 2014
Predicting tunnel boring machine performance through a new model based on the group method of data handling
M Koopialipoor, SS Nikouei, A Marto, A Fahimifar, D Jahed Armaghani, ...
Bulletin of Engineering Geology and the Environment 78, 3799-3813, 2019
A combination of the ICA-ANN model to predict air-overpressure resulting from blasting
D Jahed Armaghani, M Hasanipanah, E Tonnizam Mohamad
Engineering with Computers 32, 155-171, 2016
Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances
D Jahed Armaghani, E Tonnizam Mohamad, M Hajihassani, S Yagiz, ...
Engineering with Computers 32, 189-206, 2016
Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods
D Jahed Armaghani, E Tonnizam Mohamad, M Hajihassani, ...
Engineering with Computers 32, 109-121, 2016
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