H. Md. Azamathulla

According to our database1, H. Md. Azamathulla authored at least 17 papers between 2008 and 2015.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Application of Gene-Expression Programming in Hydraulic Engineering.
Proceedings of the Handbook of Genetic Programming Applications, 2015

Application of Google earth to investigate the change of flood inundation area due to flood detention dam.
Earth Sci. Informatics, 2015

Comparison between linear genetic programming and M5 tree models to predict flow discharge in compound channels.
Neural Comput. Appl., 2014

Prediction of soil erodibility factor for Peninsular Malaysia soil series using ANN.
Neural Comput. Appl., 2014

Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillways.
Neural Comput. Appl., 2014

Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling.
Neural Comput. Appl., 2014

Development of GEP-based functional relationship for sediment transport in tropical rivers.
Neural Comput. Appl., 2014

Group method of data handling to predict scour depth around bridge piers.
Neural Comput. Appl., 2013

A practical approach to formulate stage-discharge relationship in natural rivers.
Neural Comput. Appl., 2013

Soft computing for prediction of river pipeline scour depth.
Neural Comput. Appl., 2013

Knowledge extraction from trained neural network scour model at culvert outlets.
Neural Comput. Appl., 2013

An expert system for predicting Manning's roughness coefficient in open channels by using gene expression programming.
Neural Comput. Appl., 2013

Gene-expression programming to predict friction factor for Southern Italian rivers.
Neural Comput. Appl., 2013

ANFIS-based approach for predicting sediment transport in clean sewer.
Appl. Soft Comput., 2012

Predictive model-based for the critical submergence of horizontal intakes in open channel flows with different clearance bottoms using CART, ANN and linear regression approaches.
Expert Syst. Appl., 2011

Support vector machine approach for longitudinal dispersion coefficients in natural streams.
Appl. Soft Comput., 2011

Alternative neural networks to estimate the scour below spillways.
Adv. Eng. Softw., 2008