Edy Tonnizam Mohamad - Citegraph

Author Info

Name	Affiliation	Papers
EDY TONNIZAM MOHAMAD	Department of Geotechnics and Transportation, Faculty of Civil Engineering,Universiti Teknologi Malaysia (UTM),Skudai,Malaysia	17
Collaborators	Citations	PageRank
46	181	10.85
Referers	Referees	References
243	282	240

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100282

Publications (17 rows)

Collaborators (46 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Strength Evaluation Of Granite Block Samples With Different Predictive Models	1	0.35	2021
The use of new intelligent techniques in designing retaining walls	6	0.50	2020
The Effects Of Abc, Ica, And Pso Optimization Techniques On Prediction Of Ripping Production	0	0.34	2020
Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets	0	0.34	2020
Three hybrid intelligent models in estimating flyrock distance resulting from blasting.	11	0.55	2019
A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls	11	0.55	2019
Prediction of rock interlocking by developing two hybrid models based on GA and fuzzy system	0	0.34	2019
Overbreak prediction and optimization in tunnel using neural network and bee colony techniques	7	0.47	2019
Estimating and optimizing safety factors of retaining wall through neural network and bee colony techniques	11	0.55	2019
Feasibility of ICA in approximating ground vibration resulting from mine blasting.	16	0.58	2018
Rock strength estimation: a PSO-based BP approach.	12	0.62	2018
Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm.	4	0.43	2018
An optimized ANN model based on genetic algorithm for predicting ripping production.	22	0.92	2017
A combination of the ICA-ANN model to predict air-overpressure resulting from blasting.	37	1.69	2016
Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances.	13	0.79	2016
Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods.	18	1.05	2016
Rock strength assessment based on regression tree technique	12	0.80	2016

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