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Multilayer architecture has a beneficial effect on the oxidation resistance.
This work addresses dynamic texture representation and recognition via a convolutional multilayer architecture.
We have also applied these algorithms for scheduling computer vision tasks running on prototype multilayer architecture.
Multilayer architecture to further optimize the properties of Cr Al N coatings attracts great attention.
The multilayer architecture including actuators of the control signals is derived and discussed.
Multilayer architecture is an effective method to tailor the microstructure and properties of wear resistance coatings.
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The computations are perfomed by modules of filtering and pooling, that can be used for obtaining a mapping in single- or multilayer architectures.
This finding is an important step toward ferrite integration into complex LTCC multilayer architectures.
Recently, efficiency growing has been demonstrated in multilayer architectures involving a donor/acceptor bulk heterojunction.
The build-up of multilayer architectures could be followed by changes of the zeta-potential versus pH curves.
Further improvement of these coatings can be reached by multilayer architectures in combination with different layer materials.
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