A digital platform is aimed at making specific innovations and technological solutions, produced by the academic and research community, more accessible to private companies. It is a service for automatically downloading, synchronizing, sorting and displaying information from large scientific platforms such as Academia.edu, Google Scholar, or Researchers Gate to the platform EmpowerHR4Inno. Platform initially focus on priority sectors, food, health tourism, horizontal IT priority and nationally produced solutions with a tendency for further development. The following information can be found:
  • Course library with sub-content WoS published, results, other solutions, and digital tools and HR models;
  • Set of features that allow sending newsletters to users who sign up as interested in a particular group of news feeds.
Research Square Platform LLC
Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding
Abstract Directed acyclic graphs (DAGs) are used for modeling causal relationships, dependencies, and flows in various systems. However, spectral analysis becomes impractical in this setting because the eigendecomposition of the adjacency matrix yields all eigenvalues equal to zero. This inherent property of DAGs results in an inability to differentiate between frequency components of signals on such graphs. This problem can be addressed by alternating the Fourier basis or adding edges in...
Download 2024 Ali Bagheri Bardi , Ljubisa Stankovic , Miloš Daković , Miloš Brajović , Isidora Stanković
MDPI AG
Interpretation of Latent Codes in InfoGAN with SAR Images
Generative adversarial networks (GANs) can synthesize abundant photo-realistic synthetic aperture radar (SAR) images. Some modified GANs (e.g., InfoGAN) are even able to edit specific properties of the synthesized images by introducing latent codes. It is crucial for SAR image synthesis since the targets in real SAR images have different properties due to the imaging mechanism. Despite the success of the InfoGAN in manipulating properties, there still lacks a clear explanation of how these latent...
Download 2023 Xianda Zhou , Mingzhe Zhu , Xiyang Cui , Ljubisa Stankovic , Miloš Daković , Zhenpeng Feng , Hongbing Ji
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