Mohsen Hajihassani
Mohsen Hajihassani
Associate Professor, Department of Mining, Faculty of Engineering, Urmia University
Verified email at - Homepage
Cited by
Cited by
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
Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
E Momeni, DJ Armaghani, M Hajihassani, MFM Amin
Measurement 60, 50-63, 2015
Prediction of seismic slope stability through combination of particle swarm optimization and neural network
B Gordan, D Jahed Armaghani, M Hajihassani, M Monjezi
Engineering with computers 32, 85-97, 2016
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
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
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
Applications of particle swarm optimization in geotechnical engineering: a comprehensive review
M Hajihassani, D Jahed Armaghani, R Kalatehjari
Geotechnical and Geological Engineering 36, 705-722, 2018
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 (1), 643715, 2014
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
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
Neuro-fuzzy technique to predict air-overpressure induced by blasting
D Jahed Armaghani, M Hajihassani, H Sohaei, E Tonnizam Mohamad, ...
Arabian Journal of Geosciences 8, 10937-10950, 2015
Application of two intelligent systems in predicting environmental impacts of quarry blasting
D Jahed Armaghani, M Hajihassani, M Monjezi, ET Mohamad, A Marto, ...
Arabian Journal of Geosciences 8, 9647-9665, 2015
Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques
PG Asteris, PB Lourenšo, PC Roussis, CE Adami, DJ Armaghani, ...
Construction and Building Materials 322, 126500, 2022
A gene expression programming model for predicting tunnel convergence
M Hajihassani, SS Abdullah, PG Asteris, DJ Armaghani
Applied Sciences 9 (21), 4650, 2019
Simulation of blasting-induced air overpressure by means of artificial neural networks
ET Mohamad, M Hajihassani, DJ Armaghani, A Marto
Int Rev Model Simul 5 (6), 2501-2506, 2012
Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks
PG Asteris, A Mamou, M Hajihassani, M Hasanipanah, M Koopialipoor, ...
Transportation Geotechnics 29, 100588, 2021
Soft computing-based models for the prediction of masonry compressive strength
PG Asteris, PB Lourenšo, M Hajihassani, CEN Adami, ME Lemonis, ...
Engineering Structures 248, 113276, 2021
Prediction of blast-induced air overpressure: a hybrid AI-based predictive model
D Jahed Armaghani, M Hajihassani, A Marto, R Shirani Faradonbeh, ...
Environmental monitoring and assessment 187, 1-13, 2015
Reliability, availability and maintainability analysis of the conveyor system in mechanized tunneling
S Ahmadi, S Moosazadeh, M Hajihassani, H Moomivand, MM Rajaei
Measurement 145, 756-764, 2019
The system can't perform the operation now. Try again later.
Articles 1–20