Browsing by Subject "Neural networks"
Now showing items 1-9 of 9
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(2020-03-16)In brain cancer surgery, it is critical to achieve extensive tumor resection without compromising adjacent healthy brain tissue. Various technologies (e.g. intraoperative magnetic resonance imaging and computed tomography) ...
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(2004-09-05)Many studies of water flow and solute transport in the vadose zone require estimates of the unsaturated soil hydraulic properties, including the soil water retention curve (WRC) describing the relationship between soil ...
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(2006-12-01)This study presents the development of artificial neural network _ANN_ and fuzzy logic _FL_ models for predicting event-based rainfall runoff and tests these models against the kinematic wave approximation _KWA_. A three-layer ...
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(2022-07-20)During the design phase of a building project, evaluation of outdoor thermal environment is very difficult and time consuming and is generally neglected as an intractable performance dimension. The task is burdensome due ...
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(2005-06-01)A finite element method (FEM) and an artificial neural network (ANN) model were developed to simulate flow through Jeziorsko earthfill dam in Poland. The developed FEM is capable of simulating two-dimensional unsteady and ...
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(Texas A&M University, 2005-08-29)Quality of Service (QoS) is the ability to guarantee that data sent across a network will be recieved by the desination within some constraints. For many advanced applications, such as real-time multimedia QoS is determined ...
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Neural Networks play an important role in real-time object detection. Several types of networks are being developed in order to perform such detections at a faster pace. One such neural network that can prove useful is the ...
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(2022-12-29)This thesis aims to develop a simple and practical framework for musculoskeletal simulation that accounts for the inertia of muscles. Computer animation researchers have been using and extending muscle-driven skeletal ...
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(2005-11-01)An artificial neural network (ANN) model was developed to predict the longitudinal dispersion coefficient in natural streams and rivers. The hydraulic variables [flow discharge (Q), flow depth (H), flow velocity (U), shear ...