Vijay P. Singh

Vijay P. Singh Vijay P. Singh (born July 15, 1946) is a Distinguished Professor and a Regents Professor, and holds the Caroline and William N. Lehrer Distinguished Chair in Water Engineering at Texas A&M University. His research interests include Surface-water Hydrology, Groundwater Hydrology, Hydraulics, Irrigation Engineering, Environmental Quality, and Water Resources. Provided by Wikipedia
Showing 1 - 20 results of 88 for search 'Vijay P. Singh', query time: 0.14s Refine Results
  1. 1
    Hydrologic modeling: progress and future directions
    by Vijay P. Singh
    Published 2018-05-01
    Get full text
    Article
  2. 2
    Bivariate Rainfall and Runoff Analysis Using Entropy and Copula Theories
    by Lan Zhang, Vijay P. Singh
    Published 2012-09-01
    Get full text
    Article
  3. 3
    Integrating Entropy and Copula Theories for Hydrologic Modeling and Analysis
    by Zengchao Hao, Vijay P. Singh
    Published 2015-04-01
    Get full text
    Article
  4. 4
    Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models
    by Sungwon Kim, Vijay P. Singh
    Published 2015-06-01
    Get full text
    Article
  5. 5
    Copula–entropy theory for multivariate stochastic modeling in water engineering
    by Vijay P. Singh, Lan Zhang
    Published 2018-02-01
    Get full text
    Article
  6. 6
    Spatio-Temporal Variability of Soil Water Content under Different Crop Covers in Irrigation Districts of Northwest China
    by Sufen Wang, Vijay P. Singh
    Published 2017-08-01
    Get full text
    Article
  7. 7
    Generalized Beta Distribution of the Second Kind for Flood Frequency Analysis
    by Lu Chen, Vijay P. Singh
    Published 2017-06-01
    Get full text
    Article
  8. 8
    Tsallis Entropy Theory for Modeling in Water Engineering: A Review
    by Vijay P. Singh, Bellie Sivakumar, Huijuan Cui
    Published 2017-11-01
    Get full text
    Article
  9. 9
    Compound Extremes in Hydroclimatology: A Review
    by Zengchao Hao, Vijay P. Singh, Fanghua Hao
    Published 2018-06-01
    Get full text
    Article
  10. 10
    Bayesian Technique for the Selection of Probability Distributions for Frequency Analyses of Hydrometeorological Extremes
    by Lu Chen, Vijay P. Singh, Kangdi Huang
    Published 2018-02-01
    Get full text
    Article
  11. 11
    Machine Learning Models Coupled with Variational Mode Decomposition: A New Approach for Modeling Daily Rainfall-Runoff
    by Youngmin Seo, Sungwon Kim, Vijay P. Singh
    Published 2018-07-01
    Get full text
    Article
  12. 12
    Entropy Applications in Environmental and Water Engineering
    by Huijuan Cui, Bellie Sivakumar, Vijay P. Singh
    Published 2018-08-01
    Get full text
    Article
  13. 13
    Derivation of 2D Power-Law Velocity Distribution Using Entropy Theory
    by Gustavo Marini, Nicola Fontana, Vijay P. Singh
    Published 2013-04-01
    Get full text
    Article
  14. 14
    Forward Prediction of Runoff Data in Data-Scarce Basins with an Improved Ensemble Empirical Mode Decomposition (EEMD) Model
    by Yinghao Yu, Hongbo Zhang, Vijay P. Singh
    Published 2018-03-01
    Get full text
    Article
  15. 15
    Hypocalcemia and hypoalbuminemia during COVID-19 infection: Opportunities for therapeutic intervention
    by Vijay P. Singh, Biswajit Khatua, Bara El-Kurdi
    Published 2020-12-01
    Get full text
    Article
  16. 16
    Entropy Parameter M in Modeling a Flow Duration Curve
    by Yu Zhang, Vijay P. Singh, Aaron R. Byrd
    Published 2017-12-01
    Get full text
    Article
  17. 17
    Statistical Modeling of Hydroclimatological Processes
    by Hung Soo Kim, Vijay P. Singh, Ji Chen
    Published 2016-01-01
    Get full text
    Article
  18. 18
    MLE-Based Parameter Estimation for Four-Parameter Exponential Gamma Distribution and Asymptotic Variance of Its Quantiles
    by Songbai Song, Yan Kang, Xiaoyan Song, Vijay P. Singh
    Published 2021-07-01
    Get full text
    Article
  19. 19
    Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN
    Get full text
    Article
  20. 20
    Flood Hydrograph Prediction Using Machine Learning Methods
    Get full text
    Article
Search Tools: Get RSS Feed — Email this Search