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
A Portable Solar-Powered Edge-AI System for Livestock Monitoring in Off-Grid Mountain Pastures: System Design and Field Validation
Highland pastures in Montenegro, known as katuns, are seasonal settlements without grid power or network coverage and which are located where conventional monitoring is unfeasible. This study presents a solar-powered, off-grid system for livestock and environmental monitoring. It integrates, into a single portable unit, a solar power station, an edge-AI computer, a camera, environmental sensors, a LoRaWAN gateway, and a cellular router for backhaul. All parts are pre-wired in a modular enclosure,...
Download 2026 Janko Kaljević , Dejan Drajić , Dejan Babic , Ivan Jovovic , Tomo Popovic
MDPI AG
Innovation for Sustainable SMEs: How Financial Health Drives Resilience and Long-Term Performance in a Transition Economy
Small- and medium-sized enterprises (SMEs) are central to sustainable development in transition economies, yet their financial fragility often limits resilience and the capacity to invest in innovation and responsible practices. Despite growing interest in SME, financial health and its role in sustainability, empirical evidence from small transition economies like Montenegro remains scarce, particularly on how liquidity and profitability dynamics underpin conditions for SDG-aligned growth. This...
Download 2026 Ivana Katnic , Teodora Babic , Milorad Katnic , Vladimir Kavaric , Maja Drakic-Grgur
MDPI AG
Medical Data over Sound—CardiaWhisper Concept
Data over sound (DoS) is an established technique that has experienced a resurgence in recent years, finding applications in areas such as contactless payments, device pairing, authentication, presence detection, toys, and offline data transfer. This study introduces CardiaWhisper, a system that extends the DoS concept to the medical domain by using a medical data-over-sound (MDoS) framework. CardiaWhisper integrates wearable biomedical sensors with home care systems, edge or IoT gateways, and telemedical...
Download 2025 Blagoje Babić , Radovan Stojanovic , Andrej Skraba , Vesna Miranović , Jovan Đurković , Mihailo Vukmirović
MDPI AG
Incretin-Based Therapies and Cancer: What’s New?
Growing interest in incretin-based therapies for diabetes mellitus has led to an increased evaluation of their potential effects on cancer development. This review aims to synthesize recent evidence regarding the relationship between incretin-based therapies and cancer risk. We conducted a comprehensive literature review focusing on studies investigating dipeptidyl peptidase-4 (DPP-4) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and dual GLP-1/glucose-dependent insulinotropic polypeptide...
Download 2025 Mohamed El Tanani , Manfredi Rizzo , Jelena Vekic , Viviana Maggio , Tanja Vojinovic , Sanja Medenica , Jelena Bogdanovic , Ivana Babic , Ljiljana Bogdanović
MDPI AG
Evaluating the FLUX.1 Synthetic Data on YOLOv9 for AI-Powered Poultry Farming
This research explores the role of synthetic data in enhancing the accuracy of deep learning models for automated poultry farm management. A hybrid dataset was created by combining real images of chickens with 400 FLUX.1 [dev] generated synthetic images, aiming to reduce reliance on extensive manual data collection. The YOLOv9 model was trained on various dataset compositions to assess the impact of synthetic data on detection performance. Additionally, automated annotation techniques utilizing...
Download 2025 Srdjan Krco , Stevan Cakic , Dejan Babic , Ivan Jovovic , Tomo Popovic
MDPI AG
The Catalytic Effect of Vanadium on Sorption Properties of MgH2-Based Nanocomposites Obtained Using Low Milling Time
The effects of catalysis using vanadium as an additive (2 and 5 wt.%) in a high-energy ball mill on composite desorption properties were examined. The influence of microstructure on the dehydration temperature and hydrogen desorption kinetics was monitored. Morphological and microstructural studies of the synthesized sample were performed by X-ray diffraction (XRD), laser particle size distribution (PSD), and scanning electron microscopy (SEM) methods, while differential scanning calorimetry (DSC)...
Download 2023 Nikola Novaković , Vanja Asanović , Milica Prvulović , Igor Milanović , Nenad Filipović , Jasmina Grbović Novaković , Zorana Sekulić , Bojana Babić , Dragan Rajnović
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