A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania
preprint
Radu Stochitoiu, Traian Rebedea, Ionel Popescu, Marius Leordeanu
arXiv · 2020
This paper presents a novel approach to predicting the evolution of the COVID-19 pandemic in Romania using a combination of neural networks and analytical models.
A regime switching on Covid19 analysis and prediction in Romania
preprint
Radu D. Stochitoiu, Marian Petrica, Marius Leordeanu, Ionel Popescu
arXiv · 2020
This study applies regime switching models to analyze and predict the evolution of COVID-19 in Romania, providing insights into the dynamics of the pandemic.
My cloudy time machine: a scalable microservice-based platform for data processing in cloud-edge systems
conference
Radu-Dumitru Stochitoiu, Darius-Florentin Neatu, Andrei Vlad Postoaca, Ion-Dorinel Filip, Florin Pop
ACM SAC · 2019
This paper presents a scalable microservice-based platform designed for efficient data processing in cloud-edge computing environments, developed as part of the ROBIN-cloud project.