Publications
My research has been published in leading journals and conferences in artificial intelligence, machine learning, and computational linguistics.
A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania
Radu Stochitoiu, Traian Rebedea, Ionel Popescu, Marius Leordeanu • 2020 • arXiv preprint
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
Radu D. Stochitoiu, Marian Petrica, Marius Leordeanu, Ionel Popescu • 2020 • arXiv preprint
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.
Data Capsule: Representation of Heterogeneous Data in Cloud-Edge Computing
Radu-Dumitru Stochitoiu, Ion-Dorinel Filip, Andrei Vlad Postoaca, Darius-Florentin Neatu, Catalin Negru, Florin Pop • 2019 • IEEE Access
An examination of data representation techniques for heterogeneous systems in cloud-edge computing environments.
My cloudy time machine: a scalable microservice-based platform for data processing in cloud-edge systems
Radu-Dumitru Stochitoiu, Darius-Florentin Neatu, Andrei Vlad Postoaca, Ion-Dorinel Filip, Florin Pop • 2019 • Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
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.
Utilizarea Exemplificata a Functiilor de Aproximare
P.G. Popescu, Radu D. Stochitoiu • 2017 • Editura Politehnica Press, Bucuresti (Book)
A comprehensive guide showcasing practical applications of approximation functions with detailed examples and implementations.
