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    Grouping in Singular Spectrum Analysis of Time Series 

    Source: Journal of Hydrologic Engineering:;2022:;Volume ( 027 ):;issue: 009:;page 06022001
    Author(s): Poornima Unnikrishnan; V. Jothiprakash
    Publisher: ASCE
    Abstract: Singular spectrum analysis (SSA) is a nonparametric model-free time-series analysis and filtering technique with a wide variety of applications in numerous data-intensive fields. The grouping stage is the most crucial step ...
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    Modeling the Time Variation of Reservoir Trap Efficiency 

    Source: Journal of Hydrologic Engineering:;2010:;Volume ( 015 ):;issue: 012
    Author(s): Vaibhav Garg; V. Jothiprakash
    Publisher: American Society of Civil Engineers
    Abstract: All reservoirs are subjected to sediment inflow and deposition to a certain extent resulting in reduction of their capacity. Trap efficiency
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    Reservoir Sedimentation Estimation Using Artificial Neural Network 

    Source: Journal of Hydrologic Engineering:;2009:;Volume ( 014 ):;issue: 009
    Author(s): V. Jothiprakash; Vaibhav Garg
    Publisher: American Society of Civil Engineers
    Abstract: Conventional methods and models available for estimation of reservoir sedimentation process differ greatly in terms of complexity, inputs, and other requirements. An artificial neural network (ANN) model was used to estimate ...
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    Reservoir Evaporation Prediction Using Data-Driven Techniques 

    Source: Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 001
    Author(s): R. Arunkumar; V. Jothiprakash
    Publisher: American Society of Civil Engineers
    Abstract: Evaporation in reservoirs plays a prominent role in water resources planning, operation, and management because a considerable amount of water is lost through evaporation, especially in large reservoirs. Estimating evaporation ...
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    Extraction of Nonlinear Rainfall Trends Using Singular Spectrum Analysis 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 012
    Author(s): Poornima Unnikrishnan; V. Jothiprakash
    Publisher: American Society of Civil Engineers
    Abstract: Rainfall plays a crucial role in the socioeconomic development of a country. Knowledge of both the amount of rainfall and its pattern of distribution are equally important for proper management of water resources systems. ...
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    Application of Fine-Tuned Krill Herd Algorithm in Design of Water Distribution Networks 

    Source: Journal of Pipeline Systems Engineering and Practice:;2022:;Volume ( 013 ):;issue: 004:;page 04022044
    Author(s): S. N. Poojitha; V. Jothiprakash
    Publisher: ASCE
    Abstract: Stochastic population-based metaheuristic algorithms have been widely used to design water distribution networks (WDNs). The present study introduces one of its kind, the krill herd algorithm (KHA), a novel swarm ...
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    Robust and Reliable Design Alternatives to Water Distribution Networks: Introducing a Penalty-Free Hybrid Metaheuristic Multiobjective Algorithm with a Posterior Performance Investigation Model 

    Source: Journal of Water Resources Planning and Management:;2024:;Volume ( 150 ):;issue: 012:;page 04024055-1
    Author(s): S. N. Poojitha; V. Jothiprakash
    Publisher: American Society of Civil Engineers
    Abstract: The present study introduces a novel penalty-free hybrid metaheuristic, differential evolution–krill herd algorithm (DE-KHA) a multiobjective algorithm (MOA) for the reliability-based optimal design of water distribution ...
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    Effect of Pruning and Smoothing while Using M5 Model Tree Technique for Reservoir Inflow Prediction 

    Source: Journal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 007
    Author(s): V. Jothiprakash; Alka S. Kote
    Publisher: American Society of Civil Engineers
    Abstract: This study reports the performance of an M5 model tree (MT) and the effects of pruning and smoothing applied to reservoir inflow prediction. The full year and seasonal monthly time step MT predictions were compared with ...
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    Consequences of Continuous Zero Values and Constant Values in Time Series Modeling: Understanding through Chaotic Approach 

    Source: Journal of Hydrologic Engineering:;2016:;Volume ( 021 ):;issue: 007
    Author(s): T. A. Fathima; V. Jothiprakash
    Publisher: American Society of Civil Engineers
    Abstract: This study is aimed at understanding the behavior of a rainfall time series having a large number of continuous zero values. Forty-nine years of daily rainfall data pertaining to the Koyna Reservoir catchment in India is ...
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    Hybrid Differential Evolution and Krill Herd Algorithm for the Optimal Design of Water Distribution Networks 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 036 ):;issue: 001:;page 04021032
    Author(s): S. N. Poojitha; V. Jothiprakash
    Publisher: ASCE
    Abstract: For optimally designing water distribution networks (WDNs), the nondeterministic polynomial hard problem, a novel hybrid model, is introduced with the combined features of evolutionary and swarm intelligence techniques. ...
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