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For spectrogram enhancement, we use the DNN-based speech coefficient mapping method with dynamic feature constraint.
For this purpose, we extended the Large-Temperature-Jump method (LTJ) with an infrared camera (IR) and combined the new IR-LTJ method with dynamic modeling.
The numerical simulations employ a Large Eddy Simulation (LES) method with dynamic Lagrangian approach for subgrid-scale turbulent stress and turbulent mass flux.
Especially, the new updating strategy of DE/best/2/bin method with dynamic parameter control mechanism is applied to real coded BCO to improve the search ability of IB-RBCO.
This paper deals with an unsteady hydrodynamic simulation using CFD method with dynamic motion based on overset grid and potential based panel approach for the semi-submersible DeepCWind FOWT.
The instrument was operated using a data-dependent method with dynamic exclusion enabled.
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Other commonly used techniques are light scattering methods with dynamic light scattering (DLS) being the principal one.
The numerical calculation involved the unsteady, three-dimensional incompressible governing equations solved with finite volume approach and the dynamic balance equation of planar elastic tube bundle solved with finite element method combined with dynamic mesh scheme.
Observers are employed to reconstruct state information of the system, and then a consensus tracking control scheme is presented by the backstepping method combining with dynamic surface control (DSC) technique, neural networks (NNs), and graph theory.
To find the maximum time delay that the system can tolerate, a delay tolerability index problem (DTI) is proposed based on the bisection search method combing with dynamic response analysis, where the Nonlinear Control Design package (NCD) is used to optimize the control action.
A structural optimization method with a dynamic constraint for the maximum stiffness/mass ratio is proposed; this method is based on structural design formulas and the dynamic model of the deployable antenna structure.
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method with evolutionary
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