Edy Tonnizam Mohamad

Author

University of Technology Malaysia

Also Known As

E. T. Mohamad, E. Tonnizam Mohamad, E.T. Mohamad, Edy Tonnizam Mohamad, Ibrahim Komoo, Mohamad, Edy Tonnizam

183

Publications

7.9K

Citations

H-Index

130

Concepts

All Affiliations

University of Technology Malaysia Amirkabir University of Technology Duy Tan University Islamic Azad University South Tehran Branch Hospital Universiti Sains Malaysia

About

Edy Tonnizam Mohamad is an author at University of Technology Malaysia specializing in engineering, civil engineering, and geotechnical engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	44	81	6.5K
2	Management	4	4	213
3	Medicine	2	2	193
4	Biostatistics	2	2	47
5	Biology	1	1	71

Edy Tonnizam Mohamad

Publications

7.4K

Citations

H-Index

Page 1

	Year	Citations
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition Danial Jahed Armaghani, Edy Tonnizam Mohamad, Mogana Sundaram Narayanasamy, Tunnelling and Underground Space Technology Geotechnical EngineeringHard Rock ConditionRock TestingEngineeringMechanical Engineering	2016	396
Improvement of Problematic Soils with Biopolymer—An Environmentally Friendly Soil Stabilizer Nima Latifi, Suksun Horpibulsuk, Christopher L. Meehan, Journal of Materials in Civil Engineering	2016	393
Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization Danial Jahed Armaghani, Mohsen Hajihassani, Edy Tonnizam Mohamad, Arabian Journal of Geosciences Geotechnical EngineeringVibration EnvironmentEarthquake EngineeringEngineeringGround Vibration Prediction	2013	383
Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm Mohsen Hajihassani, Danial Jahed Armaghani, Aminaton Marto, Bulletin of Engineering Geology and the Environment Geotechnical EngineeringEarthquake EngineeringEngineeringVibration EnvironmentGround Vibration Prediction	2014	254
Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization Jian Zhou, Yingui Qiu, Shuangli Zhu, Underground Space	2020	246
Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach Edy Tonnizam Mohamad, Danial Jahed Armaghani, Ehsan Momeni, Bulletin of Engineering Geology and the Environment Geotechnical EngineeringMaterials SciencePso-based Ann ApproachStress WaveEngineering	2014	211
Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization Mohsen Hajihassani, Danial Jahed Armaghani, Houman Sohaei, Applied Acoustics Vibration EnvironmentEngineeringIntelligent OptimizationBlastingMechanical Engineering	2014	201
An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite Danial Jahed Armaghani, Edy Tonnizam Mohamad, Ehsan Momeni, Bulletin of Engineering Geology and the Environment Geotechnical EngineeringMain Range GraniteRock TestingEngineeringCivil Engineering	2014	198
Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach Mohsen Hajihassani, Danial Jahed Armaghani, Masoud Monjezi, Environmental Earth Sciences Vibration EnvironmentEngineeringGround Vibration PredictionFirefly AlgorithmBlasting	2015	195
Rock strength estimation: a PSO-based BP approach Edy Tonnizam Mohamad, Danial Jahed Armaghani, Ehsan Momeni, Neural Computing and Applications Geotechnical EngineeringRock Strength EstimationRock TestingEngineeringCivil Engineering	2016	184

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