The need for companies to create and implement Green Business Models has been growing in recent years, both from governments and society at large. Nevertheless, it has been more difficult than expected to reconfigure,...
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New architecture of a deep neural network for identification of functional groups of molecules based on FTIR spectra is presented. The architecture employs the innovative Kolmogorov-Arnold layers. Instead of a single ...
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We show that electric field on the plane surface of truncated sphere or cylinders(so called Janus particles)have sharp resonances versus the depth of removed segment of a sphere or *** resonances are related to the ex...
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We show that electric field on the plane surface of truncated sphere or cylinders(so called Janus particles)have sharp resonances versus the depth of removed segment of a sphere or *** resonances are related to the excited whispering gallery waves caused by *** is a new mechanism of the field *** of this effect for cylinders permits to reach a super resolution in the line thickness,which can be used for contact optical lithography.
The measurements of proton-proton elastic scattering for large momentum transfer at energies in the range ≈ 20 to 60 GeV show a simple behaviour of form dσ/dt ≈ const |t|−8, apparently with no energy dependence. In...
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K-Nearest Neighbors is a widely used algorithm due to its simplicity and efficacity. However, KNN suffers from many drawbacks, such as it does not work well with datasets with a high number of features. Also, not all ...
K-Nearest Neighbors is a widely used algorithm due to its simplicity and efficacity. However, KNN suffers from many drawbacks, such as it does not work well with datasets with a high number of features. Also, not all the features contribute to the classification process. To resolve these issues, we present an improved KNN algorithm which uses KNN as a base learner in an ensemble method and correlation for selecting the features subsets. The experiment results show that the proposed algorithm performed better than other machine learning algorithms.
The overall translation quality reached by current machine translation (MT) systems for high-resourced language pairs is remarkably good. Standard methods of evaluation are not suitable nor intended to uncover the man...
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The inverse spin Hall effect (ISHE) is acted for conversion of spin current to charge current. This study, we propose the advantage of ISHE for spin thermoelectric in YIG/Co multilayer. The YIG/Co multilayers thin fil...
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In parallel and distributed communication networks, task scheduling is essential for attaining the best system performance. Innovative ways that may intelligently distribute computing resources while minimizing energy...
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Bismuth selenide (Bi2Se3) is one of the 3D topological insulators (TI) that can be characterised as materials of a semiconducting volume and a conductive surface. The evolution of the electronic structure of (Bi1−xCux...
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Forward Brillouin point sensing is demonstrated in a multi-core fiber. Acoustic waves are stimulated by light in one core and monitored using a grating in another. Measurements distinguish between ethanol and water ou...
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