izvorni znanstveni rad
Paper describes novel approach in error detection in technical systems, where errors can be represented as time series. Novelty is in usage of REFII model combined with concept of non-temporal expansion which gives opportunity for recognition of events and attributes which in certain conditions mostly contribute to errors.
https://ceur-ws.org/Vol-3900/
Data science, AI , Time series, REFII, nontemporal expansion
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…