Digitalna platforma ima za cilj da konkretne inovacije i tehnološka rešenja, proizvedena od strane akademske i istraživačke zajednice, učini dostupnim privatnim kompanijama. Ovo je usluga za automatsko preuzimanje, sinhronizaciju, sortiranje i prikazivanje informacija sa velikih naučnih platformi kao što su Academia.edu, Google Scholar ili Researchers Gate sa platforme EmpowerHR4Inno. Platforma se inicijalno fokusira na prioritetne sektore, prehrambenu industriju, zdravstveni turizam, horizontalni IT prioritet i nacionalno proizvedena rešenja sa tendencijom daljeg razvoja. Sljedeće informacije se mogu naći:
  • Biblioteka kurseva sa objavljenim podsadržajem VoS-a, rezultatima, drugim rešenjima i digitalnim alatima i HR modelima;
  • Skup funkcija koje omogućavaju slanje novijih, objavljenih članaka, radova korisnicima koji se registruju kao zainteresovani za određenu grupu vesti.
MDPI AG
Politics and Religion in Montenegro—From “Theocracy” to a Civic State
The relationship between religion(s) and politics, i.e., religious communities and political authorities, in Montenegro has varied and taken different forms throughout the country’s history. Available research, mostly historical in nature, is predominantly factual and does not provide a clear picture of the nature and forms of this relationship in Montenegro’s history. Through an analysis of legal–historical sources and relevant literature, this paper aims to indicate the complexity of the relationship...
Preuzmite dokument 2023 Rajka Đoković , Danijela Vuković-Ćalasan
World Scientific Pub Co Pte Ltd
DNN-based speech watermarking resistant to desynchronization attacks
Desynchronization attacks proved to be the greatest challenge to audio watermarking systems as they introduce misalignment between the signal carrier and the watermark. This paper proposes a DNN-based speech watermarking system with two adversarial networks jointly trained on a set of desynchronization attacks to embed a randomly generated watermark. The detector neural network is expanded with spatial pyramid pooling layers to be able to handle signals affected by these attacks. A detailed training...
Preuzmite dokument 2023 Kosta Pavlović , Slavko Kovačević , Igor Djurovic , Adam Wojciechowski
National Library of Serbia
Pulmonary air leak syndrome in а premature infant born to mother with COVID-19
Introduction. The clinical course of premature infants born to mothers with coronavirus disease 2019 (COVID-19) has not been well characterized. The aim of this paper was to report a complicated clinical course of pulmonary air leak syndrome (pneumomediastinum and pneumothorax) in a premature infant born to a mother with COVID-19. Case outline. The patient was a male infant born at 35 weeks of gestation. The mother had confirmed coronavirus pneumonia six days prior to delivery. At approximately...
Preuzmite dokument 2023 Lidija Banjac , Boban Banjac
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...
Preuzmite dokument 2023 Igor Radusinovic , Slavica Tomovic
Partneri
Pretplatite se na repozitorijum