Dr. Hazi Mohammad Azamathulla

Dr. Hazi Mohammad Azamathulla

Senior Lecturer
Universiti Sains Malaysia, Malaysia


Highest Degree
Ph.D. in Civil Engineering from Indian Institute of Technology, India

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Biography

Dr. Hazi Mohammad Azamathulla is currently working as Senior Lecturer at Universiti Sains Malaysia, Malaysia, Malaysia. He obtained his Ph.D. in Civil Engineering from IIT Bombay, India in 2006. His field of research interest related to Water Resources Engineering, Hydraulics, Physical Hydraulic Model studies and Hydroinformatics. He is having 16 years experience in Industry, Teaching & Research. He is also member of editorial board in number of journals. Dr. Hazi Mohammad received number of honors includes Journal of Hydroinformatics Outstanding Reviewer prize, Certificate of outstanding contribution in Reviewing Applied Soft Computing Journal manuscripts, Marquis Who is Who, International Directory, University Hall of Fame Reward, and Merit Reward. He is professional and life member of Indian Society for Hydraulics, Associate Member Institution of Engineers (India), and Member of International Flood Network (IFNet) Japan, International Association of Hydrological Sciences (IAHS), American Society of Civil Engineers (ASCE), International Association of Engineers, World Academy of Science and Engineering Technology (WASET), and Malaysian National Committee on Irrigation and Drainage. He has published (3) book chapters, (84) articles in journals, (20) papers in national and international conferences contributed as author/co-author. He is also serving as reviewer in several journals. He supervised 3 PhD, 4 Masters, and 9 undergraduate students, 3 PhD and 2 MSc currently in his supervision.

Area of Interest:

Engineering
100%
Hydraulic Engineering
62%
Civil Engineering
90%
Hydraulic Structures
75%
Hydroinformatics
55%

Education

2005

Ph.D.

Indian Institute of Technology, India

Civil Engineering

1997

M.E.

Devi Ahilya University, Indore, India

Civil Engineering

1994

B. Tech.

SK University, Anantapur, India

Civil Engineering

Selected Publications

  1. Azamathulla, H.M., 2015. Discussion of Orifice spillway aerator: Hydraulic design by V.V. Bhosekar, V. Jothiprakash and P.B. Deolalikar. J. Hydraul. Eng., Vol. 141. 10.1061/(ASCE)HY.1943-7900.0000932.
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  2. Zahiri, A., X. Tang and H.M. Azamathulla, 2014. Mathematical modeling of flow discharge over compound sharp-crested weirs. J. Hydro-Environ. Res., 8: 194-199.
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  3. Zahiri, A. and H.M. Azamathulla, 2014. Comparison between Linear genetic programming and M5 tree models to predict flow discharge in compound channels. Neural Comput. Applic., 24: 413-420.
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  4. Yusof, M.F., H.M. Azamathulla and R. Abdullah, 2014. Prediction of soil erodibility factor for peninsular malaysia soil series using ANN. Neural Comput. Applic., 24: 383-389.
    CrossRef  |  Direct Link  |  

  5. Samadi, M., E. Jabbari and H.M. Azamathulla, 2014. Assessment of M5' model tree and classification and regression trees for prediction of scour depth below free overfall spillways. Neural Comput. Applic., 24: 357-366.
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  6. Najafzadeh, M., G.A. Barani and H.M. Azamathulla, 2014. Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling. Neural Comput. Applic., 24: 629-635.
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  7. Madadi, M.R., H.M. Azamathulla and M. Yakhkeshi, 2014. Application of Google earth to investigate the change of flood inundation area due to flood detention dam. Earth Sci. Inform., (In Press) 10.1007/s12145-014-0197-8.
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  8. Khan, M., H.M. Azamathulla and M. Tufail, 2014. Closure to discussion Bridge pier scour by gene expression programming by C. Neil and D. Andres. Water Manage., 167: 368-369.

  9. Azamathulla, H.M., M.A.M. Yusoff and Z.A. Hasan, 2014. Scour below submerged skewed pipeline. J. Hydrol., 509: 615-620.
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  10. Azamathulla, H.M. and Z. Ahmad, 2014. Closure to estimation of critical velocity for slurry transport through pipeline using adaptive Neuro-fuzzy interference system and Gene-expression programming by H. Md. Azamathulla and Z. Ahmad. J. Pipeline Syst. Eng. Practice, Vol. 6. .
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  11. Zahiri, A., H.M. Azamathulla and S. Bagheri, 2013. Discharge coefficient for compound sharp crested side weirs in subcritical flow conditions. J. Hydrol., 480: 162-166.
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  12. Zahabiyoun, B., M.R. Goodarzi, A.R.M. Bavani and H.M. Azamathulla, 2013. Assessment of climate change impact on the Gharesou river basin using SWAT hydrological model. Clean-Soil Air Water, 41: 601-609.
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  13. Salamasi, F. and H.M. Azamathulla, 2013. Determination of optimum relaxation coefficient using finite difference method for groundwater flow. Arabian J. Geosci., 6: 3409-3415.
    CrossRef  |  Direct Link  |  

  14. Najafzadeh, M., G.A. Barani and H.M. Azamathulla, 2013. GMDH to predict scour depth around a pier in cohesive soils. Applied Ocean Res., 40: 35-41.
    CrossRef  |  Direct Link  |  

  15. Najafzadeh, M. and H.M. Azamathulla, 2013. Neuro-fuzzy GMDH to predict the scour pile groups due to waves. J. Comput. Civil Eng. 10.1061/(ASCE)CP.1943-5487.0000376.
    CrossRef  |  Direct Link  |  

  16. Najafzadeh, M. and H.M. Azamathulla, 2013. Group method of data handling to predict scour depth around bridge piers. Neural Comput. Applic., 23: 2107-2112.
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  17. Mohammadpour, R., A.A. Ghani and H.M. Azamathulla, 2013. Numerical modeling of 3-D flow on porous broad crested weirs. Applied Math. Model., 37: 9324-9337.
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  18. Mohammadpour, R., A.A. Ghani and H.M. Azamathulla, 2013. Estimation of dimension and time variation of local scour at short abutment. Int. J. River Basin Manage., 11: 121-135.
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  19. Khan, M., H.M. Azamathulla, M. Tufail and A.A. Ghani, 2013. Bridge pier scour prediction by gene expression programming. Proc. ICE-Water Manage., 165: 481-493.
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  20. Guven, A., A. Aytek and H.M. Azamathulla, 2013. A practical approach to formulate stage-discharge relationship in natural rivers. Neural Comput. Applic., 23: 873-880.
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  21. Ghani, A.A. and H.M. Azamathulla, 2013. Development of GEP-based functional relationship for sediment transport in tropical rivers. Neural Comput. Applic., 24: 271-276.
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  22. Dehghani, A.A., H.M. Azamathulla, S.F.H. Najafi and S.A. Ayyoubzadeh, 2013. Local scouring around L-head groynes. J. Hydrol., 504: 125-131.
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  23. Azamathulla, H.M., Z. Ahmad and A.A. Ghani, 2013. Computation of discharge through side sluice gate using gene-expression programming. Irrig. Drain., 62: 115-119.
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  24. Azamathulla, H.M., Z. Ahmad and A.A. Ghani, 2013. An expert system for predicting manning's roughness coefficient in open channels by using gene expression programming. Neural Comput. Applic., 23: 1343-1349.
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  25. Azamathulla, H.M., C.C. Yong, A.A. Ghani and C.K. Chang, 2013. Suspended sediment load prediction of river systems: GEP approach. Arabian J. Geosci., 6: 3469-3480.
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  26. Azamathulla, H.M., 2013. Gene-expression programming to predict friction factor for Southern Italian rivers. Neural Comput. Applic., 23: 1421-1426.
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  27. Azamathulla, H.M., 2013. Comment on Evaluation of selected equations for predicting scour at downstream of ski-jump spillway using laboratory and field data by C. Kumar and P. Sreeja. Eng. Geol., 152: 210-211.

  28. Azamathulla, H.M. and Z. Ahmad, 2013. Estimation of critical velocity for slurry transport through pipeline using adaptive neuro-fuzzy interference system and gene-expression programming. J. Pipeline Syst. Eng. Pract., 4: 131-137.
    CrossRef  |  Direct Link  |  

  29. Azamathulla, H.M. and R.D. Jarrett, 2013. Use of gene-expression programming to estimate manning's roughness coefficient for high gradient streams. Water Resour. Manage., 27: 715-729.
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  30. Azamathulla, H.M. and M.A.M. Yusoff, 2013. Soft computing for prediction of river pipeline scour depth. Neural Comput. Applic., 23: 2465-2469.
    CrossRef  |  Direct Link  |  

  31. Azamathulla, H.M. and A.A.M. Haque, 2013. Knowledge extraction from trained neural network scour model at culvert outlets. Neural Comput. Applic., 23: 2137-2141.
    CrossRef  |  Direct Link  |  

  32. Mohammadpour, R., A.A. Ghani and H.M. Azamathulla, 2012. Prediction of equilibrium scour time around long abutments. Proc. ICE-Water Manage., 166: 394-401.
    CrossRef  |  Direct Link  |  

  33. Maghsoodi, R., M.S. Roozgar, H. Sarkardeh and H.M. Azamathulla, 2012. 3D-simulation of flow over submerged weirs. Int. J. Model. Simul., 32: 237-243.
    CrossRef  |  Direct Link  |  

  34. Khan, M., H.M. Azamathulla and M. Tufail, 2012. Gene-expression programming to predict Pier scour depth using Laboratory data. J. Hydroinformatics, 14: 628-645.
    CrossRef  |  Direct Link  |  

  35. Guven, A., H.M. Azamathulla and M. Gunal, 2012. Comparative study of predicting scour around a circular pile. Maritime Eng., 165: 31-40.

  36. Guven, A. and H.M. Azamathulla, 2012. Gene-expression programming for flip-bucket spillway scour. Water Sci. Technol., 65: 1982-1987.
    CrossRef  |  Direct Link  |  

  37. Chang, C.K., H.M. Azamathulla, N.A. Zakaria and A.A. Ghani, 2012. Appraisal of soft computing techniques in prediction of total bed material load in tropical rivers. J. Earth Syst. Sci., 121: 125-133.
    CrossRef  |  Direct Link  |  

  38. Azamathulla, H.M., A.A. Ghani and S.Y. Fei, 2012. ANFIS-based approach for predicting sediment transport in clean sewer. Applied Soft Comput., 12: 1227-1230.
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  39. Azamathulla, H.M., 2012. Gene-expression programming to predict scour at a bridge abutment. J. Hydroinformatics, 14: 324-331.
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  40. Azamathulla, H.M., 2012. Gene expression programming for prediction of scour depth downstream of sills. J. Hydrol., 460-461: 169-172.
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  41. Azamathulla, H.M., 2012. Comment on Reverse level pool routing: Comparison between a deterministic and a stochastic Approach by Marco D'Oria, Paolo Mignosa, Maria Giovanna Tanda. Journal of Hydrology, accepted for publication (27 July 2012); doi: http://dx. doi. org/10.1016/j. jhydrol. 2012.07. 045. J. Hydrol., 470-471: 328-328.
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  42. Azamathulla, H.M. and Z. Ahmad, 2012. Gene-expression programming for transverse mixing coefficient. J. Hydrol., 434-435: 142-148.
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  43. Azamathulla, H.M. and Z. Ahmad, 2012. GP approach for critical submergence of intakes in open channel flows. J. Hydroinformatics, 14: 937-943.
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  44. Azamathulla, H.M. and M.A. Haque, 2012. Prediction of scour depth at culvert outlets using gene-expression programming. Int. J. Innov. Comput. Inform. Control, 8: 5045-5054.

  45. Azamathulla, H.M. and A. Zahiri, 2012. Flow discharge prediction in compound channels using linear genetic programming. J. Hydrol., 454-455: 203-207.
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  46. Ahmad, Z. and H.M. Azamathulla, 2012. Response to comment on Quasi-theoretical end-depth-discharge relationship for trapezoidal channels. J. Hydrol., 477: 265-266.
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  47. Ahmad, Z. and H.M. Azamathulla, 2012. Reply to the comments on: Direct solution for discharge in circular free overfall. J. Hydrol., 466-467: 446-447.

  48. Ahmad, Z. and H.M. Azamathulla, 2012. Quasi-theoretical end-depth-discharge relationship for trapezoidal channels. J. Hydrol., 456: 151-155.
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  49. Ahmad, Z. and H.M. Azamathulla, 2012. Direct solution for discharge in circular free overfall. J. Hydrol., 446-447: 116-120.
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  50. Hasan, Z.A., K.H. Lee, H.M. Azamathulla and A.A. Ghani, 2011. Flow simulation for lake Harapan using CCHE2D-a case study. Int. J. Model. Simulat., 31: 85-89.
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  51. Ghani, A.A., H.M. Azamathulla, T.L. Lau, C.H. Ravikanth, N.A. Zakaria, C.S. Leow and M.A.M. Yusof, 2011. Flow pattern and hydraulic performance of the REDAC gross pollutant trap. Flow Measurement Instrum., 22: 215-224.
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  52. Ghani, A.A., H.M. Azamathulla, C.K. Chang, N.A. Zakaria and Z.A. Hasan, 2011. Prediction of total bed material load for rivers in Malaysia: A case study of Langat, Muda and Kurau Rivers. Environ. Fluid Mech., 11: 307-318.
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  53. Azamathulla, H.M., A.A. Ghani, C.S. Leow, C.K. Chang and N.A. Zakaria, 2011. Gene-expression programming for the development of a stage-discharge curve of the Pahang river. Water Resour. Manage., 25: 2901-2916.
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  54. Azamathulla, H.M., A. Guven and Y.K. Demir, 2011. Linear genetic programming to scour below submerged pipeline. Ocean Eng., 38: 995-1000.
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  55. Azamathulla, H.M. and N.A. Zakaria, 2011. Prediction of scour below submerged pipeline crossing a river using ANN. Water Sci. Technol., 63: 2225-2230.
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  56. Azamathulla, H.M. and F.C. Wu, 2011. Support vector machine approach for longitudinal dispersion coefficients in natural streams. Applied Soft Comput., 11: 2902-2905.
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  57. Azamathulla, H.M. and A.A. Ghani, 2011. Genetic programming for predicting longitudinal dispersion coefficients in streams. Water Resour. Manage., 25: 1537-1544.
    CrossRef  |  Direct Link  |  

  58. Ayoubloo, M.K., H.M. Azamathulla, Z. Ahmad, A.A. Ghani, J. Mahjoobi and A. Rasekh, 2011. Prediction of the scour depth below spillways applying different soft computing techniques. Comput. Applic., 33: 92-97.
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  59. Ayoubloo, M.K., H.M. Azamathulla, E. Jabbari and J. Mahjoobi, 2011. Model tree approach for estimation of critical submergence for horizontal intakes in open channel flows. Expert Syst. Applic., 38: 10114-10123.

  60. Ahmad, Z., H.M. Azamathulla and N.A. Zakaria, 2011. ANFIS-based approach for the estimation of transverse mixing coefficient. Water Sci. Technol., 63: 1005-1010.
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  61. Zakaria, N.A., H.M. Azamathulla, C.K. Chang and A.A. Ghani, 2010. Gene expression programming for total bed material load estimation-a case study. Sci. Total Environ., 408: 5078-5085.
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  62. Yazdi, J., H. Sarkardeh, H.M. Azamathulla and A.A. Ghani, 2010. 3D-Simulation of flow around single groyne with free surface. Int. J. River Basin Manage., 8: 55-62.

  63. Roshan, R., H.M. Azamathulla, M. Marosi, H. Sarkardeh, H. Pahlavan and A.A. Ghani, 2010. Hydraulics of stepped spillways with different numbers of steps. Dams Reservoirs, 20: 131-136.
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  64. Khodashenas, S.R., R. Roshan, H. Sarkardeh and H.M. Azamathulla, 2010. Vortex study at orifice spillways of Karun III dam. Dam Eng., 21: 131-142.

  65. Ghani, A.A. and H.M. Azamathulla, 2010. Gene-expression programming for sediment transport in sewer pipe systems. J. Pipeline Syst. Eng. Pract., 2: 102-106.
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  66. Azamathulla, H.M., A.A. Ghani, N.A. Zakaria and A. Guven, 2010. Genetic programming to predict bridge pier scour. J. Hydr. Eng., 136: 165-169.
    CrossRef  |  Direct Link  |  

  67. Azamathulla, H.M., A.A. Ghani, C.K. Chang, Z.A. Hasan and N.A. Zakaria, 2010. Machine learning approach to predict sediment load-a case study. Clean-Soil Air Water, 38: 969-976.
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  68. Azamathulla, H.M., A.A. Ghani and N.A. Zakaria, 2010. Prediction of scour around hydraulic structure using soft computing technique. Malaysian J. Civil Eng., 22: 53-65.
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  69. Azamathulla, H.M., A.A. Ghan, N.A. Zakaria, C.K. Chang and Z.A. Hassan, 2010. Genetic programming approach to predict sediment concentration for Malaysian rivers. Int. J. Ecol. Econ. Stat., 16: 53-64.
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  70. Azamathulla, H.M. and N.A. Zakaria, 2010. Appraisals of soft computing techniques in prediction of spillway scour depth. Dam Eng., 21: 189-202.

  71. Azamathulla, H.M. and A.A. Ghani, 2010. Genetic programming to predict river pipeline J. Pipeline Syst. Eng. Pract., 1: 127-132.
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  72. Azamathulla, H.M. and A.A. Ghani, 2010. ANFIS-based approach for predicting the scour depth at culvert outlet. J. Pipeline Syst. Eng. Pract., 2: 35-40.
    CrossRef  |  Direct Link  |  

  73. Guven, A., H.M. Azamathulla and N.A. Zakaria, 2009. Linear genetic programming for prediction of circular pile scour. Ocean Eng., 36: 985-991.
    CrossRef  |  Direct Link  |  

  74. Azamathulla, H.M., C.K. Chang, A.A. Ghani, J. Ariffin, N.A. Zakaria and Z.A. Hasan, 2009. An ANFIS-based approach for predicting the bed load for moderately sized rivers. J. Hydro-Environ. Res., 3: 35-44.
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  75. Azamathulla, H.M., A.A. Ghani, N.A. Zakaria and A. Guven, 2009. Genetic programming to predict river pipeline scour. J. Hydr. Eng., 165: 1-5.

  76. Azamathulla, H.M., A.A. Ghani and N.A. Zakaria, 2009. ANFIS-based approach to predicting scour location of spillway. Water Manage., 162: 399-407.
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  77. Azamathulla, H.M., M.C. Deo and P.B. Deolalikar, 2008. Alternative neural networks to estimate the scour below spillways. Adv. Eng. Software, 39: 689-698.
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  78. Azamathulla, H.M., F.C. Wu, A.A. Ghani, S.M. Narulkar, N.A. Zakaria and C.K. Chang, 2008. Comparison between genetic algorithm and linear programming approach for real time operation. J. Hydro-Environ. Res., 2: 172-181.
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  79. Azamathulla, H.M., A.A. Ghani, N.A. Zakaria, S.H. Lai, C.K. Chang, C.S. Leow and Z. Abuhasan, 2008. Genetic programming to predict ski-jump bucket spill-way scour. J. Hydrodynamics Ser. B, 20: 477-484.
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  80. Azamathulla, H.M., A.A. Ghani, N.A. Zakaria, C.C. Kiat and L.C. Siang, 2008. Knowledge extraction from trained neural network scour models. Modern Applied Sci., 2: 52-62.
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  81. Azamathulla, H.M., M.C. Deo and P.B. Deolalikar, 2006. Estimation of scour below spillways using neural networks. J. Hydr. Res., 44: 61-69.
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  82. Azmathullah, H.Md., M.C. Deo and P.B. Deolalikar, 2005. Neural networks for estimation of scour downstream of a ski-jump bucket. J. Hydraulic. Eng., 131: 898-908.
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  83. Azamathulla, H.M., M.C. Deo, M.R. Bhajantri and P.B. Deolalikar, 2004. Scour at the base of flip-bucket spillways. ISH J. Hydraulic Eng., 10: 121-129.
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  84. Azamathulla, H.M. and S.N. Londhe, 2004. Discussion on Behaviour of non-linear flow and application of neural network in converging boundaries by P.R.M. Rao and N.B.P. Reddy. J. Hydraulic Eng., 10: 77-77.