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Photocatalytic Water Purification Technology for Contaminated Water Treatment

Topics in catalysis, 2024-08, Vol.67 (15-16), p.959-960

2024

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Experimental study on infiltration pattern: opportunities for sustainable management in the Northern region of India

Water science and technology, 2021-11, Vol.84 (10-11), p.2675-2685

2021

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Discussion of “Gene-Expression Programming, Evolutionary Polynomial Regression, and Model Tree to Evaluate Local Scour Depth at Culvert Outlets” by Mohammad Najafzadeh and Ali Reza Kargar

Journal of pipeline systems, 2021-05, Vol.12 (2)

2021

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Precise forecasting of scour depth downstream of flip bucket spillway through data-driven models

Results in engineering, 2023-12, Vol.20, p.101604, Article 101604

2023

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Gene-expression programming for flip-bucket spillway scour

Water science and technology, 2012-01, Vol.65 (11), p.1982-1987

2012

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Gene-expression programming to predict pier scour depth using laboratory data

Journal of hydroinformatics, 2012-07, Vol.14 (3), p.628-645

2012

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Gene expression programming and artificial neural network to estimate atmospheric temperature in Tabuk, Saudi Arabia

Applied water science, 2018-10, Vol.8 (6), p.1-7, Article 184

2018

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Gene-Expression Programming for Sediment Transport in Sewer Pipe Systems

Journal of pipeline systems, 2011-08, Vol.2 (3), p.102-106

2011

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Gene-expression programming to predict scour at a bridge abutment

Journal of hydroinformatics, 2012-01, Vol.14 (2), p.324-331

Azamathulla, H. Md

2012

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Prediction of scour below submerged pipeline crossing a river using ANN

Water science and technology, 2011-01, Vol.63 (10), p.2225-2230

2011

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ANFIS-based approach for the estimation of transverse mixing coefficient

Water science and technology, 2011-01, Vol.63 (5), p.1004-1009

2011

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Gene-expression programming to predict friction factor for Southern Italian rivers

Neural computing & applications, 2013-10, Vol.23 (5), p.1421-1426

AZAMATHULLA, H. Md

2013

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Prediction of scour caused by 2D horizontal jets using soft computing techniques

Ain Shams Engineering Journal, 2017-12, Vol.8 (4), p.559-570

2017

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Quantitative forecasting of bed sediment load in river engineering: an investigation into machine learning methodologies for complex phenomena

Water science & technology. Water supply, 2024-02, Vol.24 (2), p.585-600

2024

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Use of Gene-Expression Programming to Estimate Manning’s Roughness Coefficient for High Gradient Streams

Water resources management, 2013-02, Vol.27 (3), p.715-729

2013

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Flow behaviour concerning bank stability in the presence of spur dike – A review

Water science & technology. Water supply, 2023-01, Vol.23 (1), p.237-258

2023

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GEP to predict characteristics of a hydraulic jump over a rough bed

KSCE Journal of Civil Engineering, 2016, 20(7), , pp.3006-3011

2016

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Appraisal of soft computing techniques in prediction of total bed material load in tropical rivers

Journal of Earth System Science, 2012-02, Vol.121 (1), p.125-133

2012

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Gene expression programming for total bed material load estimation—a case study

The Science of the total environment, 2010-10, Vol.408 (21), p.5078-5085

2010

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Prediction of Manning's coefficient of roughness for high-gradient streams using M5P

Water science & technology. Water supply, 2022-03, Vol.22 (3), p.2707-2720

2022

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Experimental and numerical study of flow at a 90 degree lateral turnout with enhanced roughness coefficient and invert level changes

Water science & technology. Water supply, 2022-04, Vol.22 (4), p.4193-4206

2022

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Estimation of scour depth around submerged weirs using self-adaptive extreme learning machine

Journal of hydroinformatics, 2019-11, Vol.21 (6), p.1082-1101

2019

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Reply to the comments on: “Direct solution for discharge in circular free overfall” [J. Hydrol. 446–447 (2012) 116–120]

Journal of hydrology (Amsterdam), 2012-10, Vol.466-467, p.183-184

2012

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Comparison between genetic algorithm and linear programming approach for real time operation

Journal of hydro-environment research, 2008-12, Vol.2 (3), p.172-181

2008

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An ANFIS-based approach for predicting the bed load for moderately sized rivers

Journal of hydro-environment research, 2009-06, Vol.3 (1), p.35-44

2009

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Photocatalytic Water Purification Technology for Contaminated Water Treatment

Experimental study on infiltration pattern: opportunities for sustainable management in the Northern region of India

Discussion of “Gene-Expression Programming, Evolutionary Polynomial Regression, and Model Tree to Evaluate Local Scour Depth at Culvert Outlets” by Mohammad Najafzadeh and Ali Reza Kargar

Precise forecasting of scour depth downstream of flip bucket spillway through data-driven models

Gene-expression programming for flip-bucket spillway scour

Gene-expression programming to predict pier scour depth using laboratory data

Gene expression programming and artificial neural network to estimate atmospheric temperature in Tabuk, Saudi Arabia

Gene-Expression Programming for Sediment Transport in Sewer Pipe Systems

Gene-expression programming to predict scour at a bridge abutment

Prediction of scour below submerged pipeline crossing a river using ANN

ANFIS-based approach for the estimation of transverse mixing coefficient

Gene-expression programming to predict friction factor for Southern Italian rivers

Prediction of scour caused by 2D horizontal jets using soft computing techniques

Quantitative forecasting of bed sediment load in river engineering: an investigation into machine learning methodologies for complex phenomena

Use of Gene-Expression Programming to Estimate Manning’s Roughness Coefficient for High Gradient Streams

Flow behaviour concerning bank stability in the presence of spur dike – A review

GEP to predict characteristics of a hydraulic jump over a rough bed

Appraisal of soft computing techniques in prediction of total bed material load in tropical rivers

Gene expression programming for total bed material load estimation—a case study

Prediction of Manning's coefficient of roughness for high-gradient streams using M5P

Experimental and numerical study of flow at a 90 degree lateral turnout with enhanced roughness coefficient and invert level changes

Estimation of scour depth around submerged weirs using self-adaptive extreme learning machine

Reply to the comments on: “Direct solution for discharge in circular free overfall” [J. Hydrol. 446–447 (2012) 116–120]

Comparison between genetic algorithm and linear programming approach for real time operation

An ANFIS-based approach for predicting the bed load for moderately sized rivers

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