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    Discussion of “Prediction of Sediment Load Concentration in Rivers Using Artificial Neural Network Model” by H. M. Nagy, K. Watanabe, and M. Hirano 

    Source: Journal of Hydraulic Engineering:;2003:;Volume ( 129 ):;issue: 009
    Author(s): Bernhard H. Schmid
    Publisher: American Society of Civil Engineers
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    Persistence of Skewness in Longitudinal Dispersion Data: Can the Dead Zone Model Explain It After All? 

    Source: Journal of Hydraulic Engineering:;2002:;Volume ( 128 ):;issue: 009
    Author(s): Bernhard H. Schmid
    Publisher: American Society of Civil Engineers
    Abstract: Field studies reporting coefficients of temporal skewness that do not decrease in the main flow direction have cast doubt on the transient storage (TS) or dead zone model of longitudinal dispersion in rivers and streams. ...
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    Simplification in Longitudinal Transport Modeling: Case of Instantaneous Slug Releases 

    Source: Journal of Hydrologic Engineering:;2004:;Volume ( 009 ):;issue: 004
    Author(s): Bernhard H. Schmid
    Publisher: American Society of Civil Engineers
    Abstract: Tracer experiments are widely used tools in field studies on solute transport in streams. In addition, numerous injections are carried out each year as part of the so-called salt dilution technique of stream gauging, ...
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    Can Longitudinal Solute Transport Parameters Be Transferred to Different Flow Rates? 

    Source: Journal of Hydrologic Engineering:;2008:;Volume ( 013 ):;issue: 006
    Author(s): Bernhard H. Schmid
    Publisher: American Society of Civil Engineers
    Abstract: Longitudinal solute transport modeling requires knowledge of the transport parameters involved. At best, these parameters have been estimated from stream tracer experiments, usually conducted, however, at flow rates different ...
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    Discussion and Closure: Dispersion Model for Mountain Streams 

    Source: Journal of Hydraulic Engineering:;2000:;Volume ( 126 ):;issue: 003
    Author(s): Bernhard H. Schmid; Bruce Hunt
    Publisher: American Society of Civil Engineers
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    Artificial Neural Network Modeling of Dissolved Oxygen in a Wetland Pond: The Case of Hovi, Finland 

    Source: Journal of Hydrologic Engineering:;2006:;Volume ( 011 ):;issue: 002
    Author(s): Bernhard H. Schmid; Jari Koskiaho
    Publisher: American Society of Civil Engineers
    Abstract: Artificial neural networks (ANNs) are flexible tools from neuroinformatics that have performed well in a number of hydrologic applications so far. They tend to be particularly useful when applied to complex processes, the ...
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    Salinity-Induced Density Stratification in Near-Laminar Open-Channel Flows 

    Source: Journal of Hydraulic Engineering:;2004:;Volume ( 130 ):;issue: 012
    Author(s): Bernhard H. Schmid; Michael A. Hengl; Ursula Stephan
    Publisher: American Society of Civil Engineers
    Abstract: Salt tracer experiments are a cost-effective tool widely used in studies of flow and transport in free surface flows. Whereas in a large majority of rivers and streams, fully turbulent conditions achieve rapid vertical ...
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    Myocardial Material Parameter Estimation—A Comparative Study for Simple Shear 

    Source: Journal of Biomechanical Engineering:;2006:;volume( 128 ):;issue: 005:;page 742
    Author(s): H. Schmid; M. P. Nash; A. A. Young; P. J. Hunter
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The study of ventricular mechanics—analyzing the distribution of strain and stress in myocardium throughout the cardiac cycle—is crucially dependent on the accuracy of the constitutive law chosen ...
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    A Computationally Efficient Optimization Kernel for Material Parameter Estimation Procedures 

    Source: Journal of Biomechanical Engineering:;2007:;volume( 129 ):;issue: 002:;page 279
    Author(s): H. Schmid; M. P. Nash; A. A. Young; O. Röhrle; P. J. Hunter
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Estimating material parameters is an important part in the study of soft tissue mechanics. Computational time can easily run to days, especially when all available experimental data are taken ...
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