HOW CAN GENERATIVE ADVERSARIAL NETWORKS IMPACT COMPUTER GENERATED ART? INSIGHTS FROM POETRY TO MELODY CONVERSION

How can generative adversarial networks impact computer generated art? Insights from poetry to melody conversion

Recent Paddock Boots advances in deep learning and generative adversarial networks (GANs), in particular, has enabled interesting applications including photorealistic image generation, image translation, and automatic caption generation.This has opened up possibilities for many cross-domain applications in computer generated arts and literature.Al

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Solving problems of radiation and diffraction electromagnetic waves based on integral representations electromagnetic field

Various forms of integral representations of the electromagnetic field are considered.It is shown that the use of analytically developed integral representations of the electromagnetic field instead of the vector potential method makes it possible to significantly simplify the formulation of the internal and external electrodynamic problem for spec

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Soret and Dufour Effects on Natural Convection Flow Past a Vertical Surface in a Porous Medium with Variable Viscosity

The heat and mass transfer characteristics of natural convection about a vertical surface embedded in a saturated porous medium subject to Home Decor variable viscosity are numerically analyzed, by taking into account the diffusion-thermo (Dufour) and thermal-diffusion (Soret) effects.The governing equations of continuity, momentum, energy, and con

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Linguistics of Augmentative and Alternative Communication in the Process of Diagnosis of Speech Inability and Speech Non-Occurrence

The paper identifies T-Shirts and defines augmentative and alternative communication, a new sub-discipline in applied linguistics whose primary parametre is linguistic competence whereas the secondary parameter is the phenomenon of speech inability and speech non-occurrence.At the same time it has been proven that linguistics of augmentative and al

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Joint Conditional Random Field Filter for Multi-Object Tracking

Object tracking can improve the performance of mobile robot especially in populated dynamic environments.A novel joint conditional random field Filter (JCRFF) based on conditional random field with hierarchical structure is proposed for multi-object tracking by abstracting the data associations between objects and measurements to be a sequence of l

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