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.
Walter de Gruyter GmbH
Machine learning methods for landslide mapping studies: A comparative study of SVM and RF algorithms in the Oued Aoulai watershed (Morocco)
Abstract Effective management of watershed risks and landslides necessitates comprehensive landslide susceptibility mapping. Support vector machine (SVM) and random forest (RF) machine learning models were used to map the landslide susceptibility in Morocco’s Taounate Province. Detailed landslide inventory maps were generated based on aerial pictures, field research, and geotechnical survey reports. Factor correlation analysis carefully eliminated redundant factors from the original...
Preuzmite dokument 2025 Velibor Spalevic , Mohamed Mastere , Shuraik Kader , Latifa Ladel , Branislav Dudic
MDPI AG
Assessment of the Erosion and Outflow Intensity in the Rif Region under Different Land Use and Land Cover Scenarios
The port of Tangier Med is essential due to its strategic location, as it is an important trading center linking Europe, North America, and Africa. However, the increased rates of downstream sediment transportation put pressure on the sustainable future of the port. Thus, assessing the existing erosion rates and future improvement scenarios is imperative for planning sustainable management at the catchment level. We utilize the Erosion Potential Model (EPM) combined with the Intensity of Erosion...
Preuzmite dokument 2024 Said Courba , Abdessalam Ouallali , Mohamed Beroho , Artan Hysa , Alban Kuriqi , Hamza Briak , Velibor Spalevic , Youssef Bammou , Mourad Aqnouy , Shuraik Kader
  • Previous
  • 1 (current)
  • Next
Partneri
Pretplatite se na repozitorijum