Mahmood M. D. Tahir

Affiliations:
  • Universiti Teknologi Malaysia, Johor Bahru, Malaysia


According to our database1, Mahmood M. D. Tahir authored at least 18 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass.
Soft Comput., 2021

Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm.
Eng. Comput., 2021

A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles.
Eng. Comput., 2021

Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples.
Eng. Comput., 2021

Applying dual-tree complex discrete wavelet transform and gamma modulating function for simulation of ground motions.
Eng. Comput., 2021

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns.
Eng. Comput., 2021

GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles.
Eng. Comput., 2021

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting.
Eng. Comput., 2021

A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration.
Eng. Comput., 2021

2020
A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network.
Eng. Comput., 2020

A new methodology for optimization and prediction of rate of penetration during drilling operations.
Eng. Comput., 2020

A novel intelligent approach to simulate the blast-induced flyrock based on RFNN combined with PSO.
Eng. Comput., 2020

Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile.
Eng. Comput., 2020

Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling.
Eng. Comput., 2020

2019
Improving Performance of Retaining Walls Under Dynamic Conditions Developing an Optimized ANN Based on Ant Colony Optimization Technique.
IEEE Access, 2019

2018
Airblast prediction through a hybrid genetic algorithm-ANN model.
Neural Comput. Appl., 2018

Performance prediction of tunnel boring machine through developing a gene expression programming equation.
Eng. Comput., 2018

2017
Application of PSO to develop a powerful equation for prediction of flyrock due to blasting.
Neural Comput. Appl., 2017


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