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The proposed approach utilizes a universal algebraic equation for perturbed eigenvalues, previously derived by the authors.
The approach utilizes a controller structure that decouples the feedforward and the feedback controller.
The approach utilizes a neural network that performs a weighted summation of Bernstein polynomial basis functions.
The approach utilizes a four-phase optimization process built around a dynamic, patient-specific gait model.
The proposed iterative approach utilizes a weighted PNN with one smoothing factor for each variable in the feature reduction stage.
The numerical approach utilizes a Lagrangian formulation in conjunction with local solid water gas-vacuum Riemann problemsolid water gas-vacuumolutions and can be solved efficiently.
Similar(18)
The approach utilizes an auxiliary language to enable data interoperability in a synthetic computing environment and to make connections between data and mathematical models.
The generative process planning approach utilizes an automatic computerized system which consists of decision logic, formulae, and knowledge used by process planners to produce process plans.
The SPS-MS3 approach utilizes an intensity based rank order when selecting MS2 fragments ions.
This cascade approach utilizes an asymmetric bifunctional organocatalytic nitro-Mannich reaction followed by a gold-catalyzed allene hydroamination reaction.
A dynamic digital element approach, utilizing a dynamic relaxation procedure, is developed to determine 3-D woven textile micro-geometries.
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