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.

Faculty of Philology - University of Montenegro

MOBY-DICK, MODERNISM AND THE “POST-DEATH” NARRATION

There is a peculiar tendency among many first-person Modernist narrators to simulate the narrative perspective of “posthumousness” (as if these accounts were somehow narrated by the dead). The procedure (that could be termed the “post-death narration”) seems to be present in various proto-modernist and Modernist works such as Conrad's Heart of Darkness, Faulkner's The Sound and the Fury and Absalom, Absalom!, T.S. Eliot's The Waste Land, etc. This narrative perspective is entwined with the trauma...

Download 2023 Vladimir Vujošević

IOS Press

Health Informatics Training Programs to Strengthen Health Workforce in Montenegro

Health informatics plays a crucial role in modern healthcare provision. Training and continuous education are essential to bolster the healthcare workforce on health informatics. In this work, we present the training events within EU-funded DigNest project. The aim of the training events, the subjects offered, and the overall evaluation of the results are described in this paper.

Download 2023 Laszlo Bokor , Ivana Ognjanovic , Ramo Sendelj , Emmanouil Zoulias , Christoph Reich , Luka Laković , John Mantas , Peter A. Kara

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

IEEE

Exploratory analysis of text using available NLP technologies for Serbian language

Download 2023 Stevan Cakic , Dejan Babic , Luka Laković , Ivan Jovovic

IEEE

Disease Prediction Using Machine Learning Algorithms

Download 2023 Ivana Katnic , Stevan Cakic , Dejan Babic , Ivan Jovovic , Tomo Popovic

IEEE

A Blockchain-Based Approach to Management of University Diploma Authenticity

Download 2023 Branko Jovović , Stevan Šandi , Zoran Djikanovic , Tomo Popovic

Wiley

National Dietary Survey on Children in Montenegro from 1 to 9 years old – External Scientific Report