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The study is mainly focused on the encoding of speech based on general higher-order tensor structure to extract the robust auditory-based feature from interrelated feature subspace.
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A modified variational principle combined with a multi-segment partitioning technique is employed to derive the formulation based on a general higher-order shear deformation theory.
A two dimensional General Higher-order Equivalent Single Layer (GHESL) approach, based on the Carrera Unified Formulation (CUF), is proposed.
The formulations are based on the higher-order shear deformation plate theory and general von Kármán-type equation, which includes thermal effects.
The formulations are based on a higher-order shear deformation plate theory and general von Kármán-type equation that includes the plate-foundation interaction and thermal effects.
The nonlinear formulations are based on the higher-order shear deformation plate theory and general von Kármán-type equation, which includes thermo-piezoelectric effects.
The formulations are based on a higher-order shear deformation plate theory and a general von Kármán-type equation that includes a thermal effect.
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They are based on higher-order and polymorphic functions and an implicit type system.
Moreover, research indicates that methods based on second-order statistics might outperform methods based on higher-order statistics in the removal of ocular artifacts [ 10, 22].
The average stress method is used to derive the governing equations for circular and annular plates in a general state of initial stress based on a high-order plate theory.
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