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H. Md. Azamathulla
Person information
- affiliation: Universiti Sains Malaysia, Seri Ampangan, Penang, Malaysia
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2020 – today
- 2023
- [j18]Madhawa R. Herath, Tharaka Jayathilaka, Hazi Mohammad Azamathulla, Vishwanadham Mandala, Namal Rathnayake, Upaka Rathnayake:
Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka. Sensors 23(7): 3680 (2023)
2010 – 2019
- 2015
- [j17]Mohamad Reza Madadi, Hazi Mohammad Azamathulla, Mahmood Yakhkeshi:
Application of Google earth to investigate the change of flood inundation area due to flood detention dam. Earth Sci. Informatics 8(3): 627-638 (2015) - [j16]Mohammad Najafzadeh, Hazi Mohammad Azamathulla:
Neuro-Fuzzy GMDH to Predict the Scour Pile Groups due to Waves. J. Comput. Civ. Eng. 29(5) (2015) - [r1]Abdolreza Zahiri, A. A. Dehghani, H. Md. Azamathulla:
Application of Gene-Expression Programming in Hydraulic Engineering. Handbook of Genetic Programming Applications 2015: 71-97 - 2014
- [j15]Aminuddin Ab. Ghani, H. Md. Azamathulla:
Development of GEP-based functional relationship for sediment transport in tropical rivers. Neural Comput. Appl. 24(2): 271-276 (2014) - [j14]Mehrshad Samadi, Ebrahim Jabbari, H. Md. Azamathulla:
Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillways. Neural Comput. Appl. 24(2): 357-366 (2014) - [j13]Mohd Fazly Yusof, H. Md. Azamathulla, Rozi Abdullah:
Prediction of soil erodibility factor for Peninsular Malaysia soil series using ANN. Neural Comput. Appl. 24(2): 383-389 (2014) - [j12]Abdolreza Zahiri, H. Md. Azamathulla:
Comparison between linear genetic programming and M5 tree models to predict flow discharge in compound channels. Neural Comput. Appl. 24(2): 413-420 (2014) - [j11]Mohammad Najafzadeh, Gholam-Abbas Barani, Hazi Mohammad Azamathulla:
Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling. Neural Comput. Appl. 24(3-4): 629-635 (2014) - 2013
- [j10]Aytaç Güven, Ali Aytek, H. Md. Azamathulla:
A practical approach to formulate stage-discharge relationship in natural rivers. Neural Comput. Appl. 23(3-4): 873-880 (2013) - [j9]H. Md. Azamathulla, Zulfequar Ahmad, Aminuddin Ab. Ghani:
An expert system for predicting Manning's roughness coefficient in open channels by using gene expression programming. Neural Comput. Appl. 23(5): 1343-1349 (2013) - [j8]H. Md. Azamathulla:
Gene-expression programming to predict friction factor for Southern Italian rivers. Neural Comput. Appl. 23(5): 1421-1426 (2013) - [j7]Mohammad Najafzadeh, Hazi Mohammad Azamathulla:
Group method of data handling to predict scour depth around bridge piers. Neural Comput. Appl. 23(7-8): 2107-2112 (2013) - [j6]H. Md. Azamathulla, Abu Ahmed Mokammel Haque:
Knowledge extraction from trained neural network scour model at culvert outlets. Neural Comput. Appl. 23(7-8): 2137-2141 (2013) - [j5]Hazi Mohammad Azamathulla, Mohd. Azlan Mohd. Yusoff:
Soft computing for prediction of river pipeline scour depth. Neural Comput. Appl. 23(7-8): 2465-2469 (2013) - 2012
- [j4]H. Md. Azamathulla, Aminuddin Ab. Ghani, Seow Yen Fei:
ANFIS-based approach for predicting sediment transport in clean sewer. Appl. Soft Comput. 12(3): 1227-1230 (2012) - 2011
- [j3]H. Md. Azamathulla, Fu-Chun Wu:
Support vector machine approach for longitudinal dispersion coefficients in natural streams. Appl. Soft Comput. 11(2): 2902-2905 (2011) - [j2]Mohammad Karim Ayoubloo, H. Md. Azamathulla, Ebrahim Jabbari, Morteza Zanganeh:
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. 38(8): 10114-10123 (2011)
2000 – 2009
- 2008
- [j1]H. Md. Azamathulla, M. C. Deo, P. B. Deolalikar:
Alternative neural networks to estimate the scour below spillways. Adv. Eng. Softw. 39(8): 689-698 (2008)
Coauthor Index
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