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IEEE
Ovarian Cancer Detection Using Computer Vision
Anesa Abazović , Arnad Lekić , Stevan Cakic , Ivan Jovovic , Tomo Popovic
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2024
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
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
IEEE
Ovarian Cancer Detection Using Computer Vision
Download 2024 Anesa Abazović , Arnad Lekić , Stevan Cakic , Ivan Jovovic , Tomo Popovic
IEEE
Geographic Information Systems in Statistics
Download 2024 Stevan Šandi , Ivana Katnic , Luka Filipovic , Vasilije Radunović , Tomo Popovic
IEEE
AI and Computer Vision in Cultural Heritage Preservation
Download 2024 Jovana Mitric , Igor Radulovic , Zoja Scekic , Sandra Tinaj , Tomo Popovic
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EmpowerHR4Inno project is implemented at the Faculty for International Economics, Finance and Business and sponsored through IPA grant sheme „Scientific potential in support of innovation development“, CFCU/MNE/212, call reference EuropeAid/172-351/ID/ACT/ME. This website was created and maintained with the financial support of the Ministry of Education, Science and Innovation in Montenegro, Ministry of Finance in Montenegro and Delegation European Union. Its contents are the sole responsibility of Faculty for International Economics, Finance and Business UDG and do not necessarily reflect the views of the European Union.
Copyright © 2026 EmpowerHR4Inno. All right reserved.
Copyright © 2026 EmpowerHR4Inno. All rights reserved.