Prof. Dr. Edy Tonnizam Mohamad
Prof. Dr. Edy Tonnizam Mohamad
Professor, Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, UTM
Verified email at utm.my
Title
Cited by
Cited by
Year
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
2052014
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
1712017
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
1682015
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
1542014
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
1322015
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
1212015
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
1172017
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
1102015
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
1012014
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
982016
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
952018
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
922016
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
922014
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
902019
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
862018
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
782018
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, DJ Armaghani, ...
Bulletin of Engineering Geology and the Environment 78 (5), 3799-3813, 2019
772019
Rock strength estimation: a PSO-based BP approach
ET Mohamad, DJ Armaghani, E Momeni, AH Yazdavar, M Ebrahimi
Neural Computing and Applications 30 (5), 1635-1646, 2018
762018
An optimized ANN model based on genetic algorithm for predicting ripping production
ET Mohamad, RS Faradonbeh, DJ Armaghani, M Monjezi, MZ Abd Majid
Neural Computing and Applications 28 (1), 393-406, 2017
742017
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
732016
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