Kamban Parasuraman - Concepedia

Author

Kamban Parasuraman

University of Saskatchewan

Also Known As

K. Parasuraman, KAMBAN PARASURAMAN, Kamban Parasuraman

Publications

640

Citations

H-Index

Concepts

All Affiliations

University of Saskatchewan Carleton University

About

Kamban Parasuraman is an author at University of Saskatchewan specializing in engineering, hydrology, and civil engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	635
2	Civil Engineering	7	7	476
3	Data Science	6	6	278
4	Social Sciences	1	1	39
5	Biostatistics	1	1	53

Kamban Parasuraman

Publications

635

Citations

H-Index

Page 1

	Year	Citations
On the relevance of using artificial neural networks for estimating soil moisture content Amin Elshorbagy, Kamban Parasuraman Journal of Hydrology Soil PropertyPrecision AgricultureEnvironmental MonitoringArtificial Neural NetworksEngineering	2008	154
Modelling the dynamics of the evapotranspiration process using genetic programming Kamban Parasuraman, Amin Elshorbagy, Sean K. Carey Hydrological Sciences Journal EngineeringSimulation ModellingEvolutionary AlgorithmsWater Quality ForecastingNumerical Weather Prediction	2007	141
Estimating Saturated Hydraulic Conductivity Using Genetic Programming Kamban Parasuraman, Amin Elshorbagy, Bingcheng Si Soil Science Society of America Journal Soil CharacterizationHydrogeologyReservoir SimulationHydraulic ConductivityFluid Properties	2007	71
Estimating Saturated Hydraulic Conductivity In Spatially Variable Fields Using Neural Network Ensembles Kamban Parasuraman, Amin Elshorbagy, Bingcheng Si Soil Science Society of America Journal EngineeringArtificial Neural NetworksWater ResourcesSoil ModelingHydrogeophysics	2006	62
Toward improving the reliability of hydrologic prediction: Model structure uncertainty and its quantification using ensemble‐based genetic programming framework Kamban Parasuraman, Amin Elshorbagy Water Resources Research Hydrological PredictionAdditive OperatorsEngineeringClimate ModelingUncertainty Modeling	2008	53
Cluster-Based Hydrologic Prediction Using Genetic Algorithm-Trained Neural Networks Kamban Parasuraman, Amin Elshorbagy Journal of Hydrologic Engineering Hydrological PredictionEngineeringMachine LearningData ScienceWater Resources	2006	49
River Stage Forecasting Using Wavelet Packet Decomposition and Machine Learning Models Youngmin Seo, Sungwon Kim, Özgür Kişi, Water Resources Management Forecasting MethodologyProbabilistic ForecastingEngineeringData ScienceWater Resources	2016	48
Spiking modular neural networks: A neural network modeling approach for hydrological processes Kamban Parasuraman, Amin Elshorbagy, Sean K. Carey Water Resources Research EngineeringNeural Networks (Machine Learning)Neural NetworkHydrologic EngineeringEvaporation Flux	2006	39
Wavelet networks: an alternative to classical neural networks Kamban Parasuraman, Amin Elshorbagy Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. Evolving Neural NetworkEngineeringMachine LearningData ScienceArtificial Neural Networks	2006	18

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