izvorni znanstveni rad
Complexity of graphics reproductions processes and their numerous parameters demands sophisticated approach. We present brief look of possibilities of neural network as a generation tool for solutions in wide aspect of complex problems which emerge in processes of graphics reproduction. Optimization of certain processes such as paper production, recycling or printing due to their complexness and mutual dependence of numerous parameters and fine interaction effects is ideal field for neural network application. This method can be powerful tool for mathematical solution demands on problem concerning quality monitoring and validation in graphical reproduction processes.
graphic reproduction; neutral network
Razvojem virtualizacijskih tehnologija raste kompleksnost IT sustava, dok korisnici istovremeno zahtijevaju brži pristup resursima, napredne integracije i jednostavnost korištenja. Jedno od ključnih rješenja za ove izazove primjena je…
Ovaj rad istražuje i uspoređuje mogućnosti prosljeđivanja grafičkih kartica na Hyper-V i KVM hipervizorima prema virtualnim strojevima, detaljno opisujući metode, postupke i razlike u arhitekturi koje utječu na…
The ever-growing usage and adaptation of HTTP/3 in web traffic leverages Quick UDP Internet Connections (QUIC) as a transport protocol. QUIC is widely recognized for reduced latency, enhanced…
