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    Discussion of “Modeling of Flow Control Valves with a Nonzero Loss Coefficient” by N. B. Gorev, I. F. Kodzhespirov, and P. Sivakumar 

    Source: Journal of Hydraulic Engineering:;2017:;Volume ( 143 ):;issue: 009
    Author(s): C. R. Suribabu; T. R. Neelakantan
    Publisher: American Society of Civil Engineers
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    Discussion of “New Resilience Index for Urban Water Distribution Networks” by G. P. Cimellaro, A. Tinebra, C. Renschler, and M. Fragiadakis 

    Source: Journal of Structural Engineering:;2017:;Volume ( 143 ):;issue: 008
    Author(s): T. R. Neelakantan; C. R. Suribabu
    Publisher: American Society of Civil Engineers
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    Discussion of “Optimal Operation of Water Distribution Networks under Water Shortage Considering Water Quality” by Mohammad Solgi, Omid Bozorg-Haddad, Samaneh Seifollahi-Aghmiuni, Parisa Ghasemi-Abiazani, and Hugo A. Loáiciga 

    Source: Journal of Pipeline Systems Engineering and Practice:;2018:;Volume ( 009 ):;issue: 001
    Author(s): T. R. Neelakantan; C. R. Suribabu
    Publisher: American Society of Civil Engineers
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    Neural Network-Based Simulation-Optimization Model for Reservoir Operation 

    Source: Journal of Water Resources Planning and Management:;2000:;Volume ( 126 ):;issue: 002
    Author(s): T. R. Neelakantan; N. V. Pundarikanthan
    Publisher: American Society of Civil Engineers
    Abstract: There have been several attempts to use combined simulation-optimization models to solve reservoir operation problems efficiently. In many cases, complex simulation models are available, but direct incorporation of them ...
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    Discussion of “Systemic Approach for the Capacity Expansion of Multisource Water-Supply Systems under Uncertainty” by João Vieira and Maria Cunha 

    Source: Journal of Water Resources Planning and Management:;2017:;Volume ( 143 ):;issue: 009
    Author(s): T. R. Neelakantan; C. R. Suribabu
    Publisher: American Society of Civil Engineers
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    Discussion of “Optimization of Fuzzified Hedging Rules for Multipurpose and Multireservoir Systems” by Iman Ahmadianfar, Arash Adib, and Mehrdad Taghian 

    Source: Journal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 007
    Author(s): T. R. Neelakantan; C. R. Suribabu; K. Sasireka
    Publisher: American Society of Civil Engineers
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    Effectiveness of Different Artificial Neural Network Training Algorithms in Predicting Protozoa Risks in Surface Waters 

    Source: Journal of Environmental Engineering:;2002:;Volume ( 128 ):;issue: 006
    Author(s): T. R. Neelakantan; Srinivasa Lingireddy; Gail M. Brion
    Publisher: American Society of Civil Engineers
    Abstract: A neural network approach was employed to relate risky
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    Mixed-Integer Programming Model for Reservoir Performance Optimization 

    Source: Journal of Water Resources Planning and Management:;1999:;Volume ( 125 ):;issue: 005
    Author(s): K. Srinivasan; T. R. Neelakantan; P. Shyam Narayan; C. Nagarajukumar
    Publisher: American Society of Civil Engineers
    Abstract: Failures in operation of water supply reservoir systems are often unavoidable during critical hydrologic periods. The failure characteristics of such systems can be represented by performance indicators such as reliability, ...
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    Dynamic Pressure-Dependent Simulation of Water Distribution Networks Considering Volume-Driven Demands Based on Noniterative Application of EPANET 2 

    Source: Journal of Water Resources Planning and Management:;2020:;Volume ( 146 ):;issue: 006
    Author(s): P. Sivakumar; Nikolai B. Gorev; Tiku T. Tanyimboh; Inna F. Kodzhespirova; C. R. Suribabu; T. R. Neelakantan
    Publisher: ASCE
    Abstract: EPANET 2 software has been widely used among researchers and practitioners from its inception for hydraulic analysis. This technical note presents a method to simulate pressure-dependent volume-based demands in a single ...
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