Digital platoform

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.

MDPI AG

Challenges to Viticulture in Montenegro under Climate Change

The Montenegrin climate is characterised as very heterogeneous due to its complex topography. The viticultural heritage, dating back to before the Roman empire, is settled in a Mediterranean climate region, located south of the capital Podgorica, where climate conditions favour red wine production. However, an overall increase in warmer and drier periods affects traditional viticulture. The present study aims to discuss climate change impacts on Montenegrin viticulture. Bioclimatic indices, ensembled...

Download 2024 Sergi Costafreda-Aumedes , Natasa Kovac , Christoph Menz , João A. Santos , Sanja Šućur Radonjić , António Fernandes , Kruna Ratković , Marko Simeunović , Hélder Fraga , André Fonseca

MDPI AG

Hybrid LSTM Model to Predict the Level of Air Pollution in Montenegro

Air pollution is a critical environmental concern that poses significant health risks and affects multiple aspects of human life. ML algorithms provide promising results for air pollution prediction. In the existing scientific literature, Long Short-Term Memory (LSTM) predictive models, as well as their combination with other statistical and machine learning approaches, have been utilized for air pollution prediction. However, these combined algorithms may not always provide suitable results due...

Download 2023 Natasa Kovac , Kruna Ratković , Marko Simeunović

Association for Promotion and Development of Maritime Industries

The Analyses of the Rate of Pitting Corrosion of a NiTi Rod in a Natural Marine Environment

The analysis of the behaviour of new materials in the natural environment is important for their application and commercial use. In order to explore the application of Shape Memory Alloys in the Maritime industry, this research focuses on the corrosive behaviour of the NiTi rod that was produced by means of a continuous casting process. The experiment included three samples of NiTi rods that were exposed to the marine environment for 6, 12 and 18 months at a depth of 3 metres below the surface....

Download 2022 Peter Majerič , Špiro Ivošević , Natasa Kovac , Rebeka Rudolf , Gyöngyi Vastag

IEEE

An Internet of Things System for Environmental Monitoring Based on ESP32 and Blynk

Download 2022 Natasa Kovac , Stevan Cakic , Dejan Babic , Ivan Jovovic , Tomo Popovic

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