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.
F1000 Research Ltd
Citizens marine pilots: Increasing autonomous surface vehicles navigation capabilities with and for the public
Most of the world population lives by a water body. Observing, caring and understanding the ocean is vital for all. Among several branches of robotics - marine robotics creates the most interdisciplinary and participatory scientific pool, bringing citizen and scientists close to the use of aquatic robots. International efforts, such as the EU-funded MONUSEN project, are pioneering the technological transfer across borders, disciplines and people, therefore sustaining the United Nations Sustainable...
Download 2026 Natko Kraševac , Matko Batoš , Simona Aracri , Roberta Ferretti , Massimo Caccia , Angelo Odetti , Fausto Ferreira , Vanja Asanović , Giorgio Bruzzone , Juraj Obradović , Ivan Lončar , Igor Radusinovic , Luka Martinović , Slavica Tomovic , Marco Bibuli , Gabriele Bruzzone , Žarko Zečević , Cristiano Cervellera ... Pogledajte sve
MDPI AG
DR-ALOHA-Q: A Q-Learning-Based Adaptive MAC Protocol for Underwater Acoustic Sensor Networks
Underwater acoustic sensor networks (UASNs) are challenged by the dynamic nature of the underwater environment, large propagation delays, and global positioning system (GPS) signal unavailability, which make traditional medium access control (MAC) protocols less effective. These factors limit the channel utilization and performance of UASNs, making it difficult to achieve high data rates and handle congestion. To address these challenges, we propose a reinforcement learning (RL) MAC protocol that...
Download 2023 Igor Radusinovic , Slavica Tomovic
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