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 six.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2015
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 Science Informatics, 2015

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

Prediction of soil erodibility factor for Peninsular Malaysia soil series using ANN.
Neural Computing and Applications, 2014

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

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

Development of GEP-based functional relationship for sediment transport in tropical rivers.
Neural Computing and Applications, 2014

2013
Group method of data handling to predict scour depth around bridge piers.
Neural Computing and Applications, 2013

A practical approach to formulate stage-discharge relationship in natural rivers.
Neural Computing and Applications, 2013

Soft computing for prediction of river pipeline scour depth.
Neural Computing and Applications, 2013

Knowledge extraction from trained neural network scour model at culvert outlets.
Neural Computing and Applications, 2013

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

Gene-expression programming to predict friction factor for Southern Italian rivers.
Neural Computing and Applications, 2013

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

2011
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

2008
Alternative neural networks to estimate the scour below spillways.
Advances in Engineering Software, 2008


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