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
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,...
Preuzmite dokument 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...
Preuzmite dokument 2025 Srdjan Krco , Stevan Cakic , Dejan Babic , Ivan Jovovic , Tomo Popovic
  • Previous
  • 1 (current)
  • Next
Partneri
Pretplatite se na repozitorijum