Stanislav Vakaruk

According to our database, Stanislav Vakaruk authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Anticipatory analysis of AGV trajectory in a 5G network using machine learning.

Alberto Mozo, Stanislav Vakaruk, Jesús Enrique Sierra-García, Antonio Pastor

J. Intell. Manuf., April, 2024

2023

Using N-BEATS ensembles to predict automated guided vehicle deviation.

Amit Karamchandani, Alberto Mozo, Stanislav Vakaruk, Sandra Gómez Canaval, Jesús Enrique Sierra-García, Antonio Pastor

Appl. Intell., November, 2023

Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case.

Stanislav Vakaruk, Amit Karamchandani, Jesús Enrique Sierra-García, Alberto Mozo, Sandra Gómez Canaval, Antonio Pastor

Sensors, April, 2023

2022

A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS).

Christoph Mertens, Jesús Alonso, Óscar Lázaro, Charaka Palansuriya, Gernot Böge, Alexandros Nizamis, Vaia Rousopoulou, Dimosthenis Ioannidis, Dimitrios Tzovaras, Rizkallah Touma, Miquel Tarzan, Diego Mallada, Paulo Figueiras, Ruben Costa, Diogo Graça, Gisela García, Begoña Laibarra, Aitor Celaya, Piotr Sobonski, Azzam Naeem, Alberto Mozo, Stanislav Vakaruk, Jesús Enrique Sierra-García, Antonio Pastor, Juan Rodriguez, Marlène Hildebrand, Tomasz Luniewski, Wojciech Zietak, Christoph Lange, Konstantinos Sipsas, Athanasios Poulakidas

Proceedings of the Data Spaces - Design, 2022

2021

Forecasting Automated Guided Vehicle Malfunctioning with Deep Learning in a 5G-Based Industry 4.0 Scenario.

Stanislav Vakaruk, Jesús Enrique Sierra-García, Alberto Mozo, Antonio Pastor

IEEE Commun. Mag., 2021

A Digital Twin Network for Security Training in 5G Industrial Environments.

Stanislav Vakaruk, Alberto Mozo, Antonio Pastor, Diego R. López

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020

Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning.

Antonio Pastor, Alberto Mozo, Stanislav Vakaruk, Daniele Canavese, Diego R. López, Leonardo Regano, Sandra Gómez Canaval, Antonio Lioy

IEEE Access, 2020

2019

High Performance and Scalable Simulations of a Bio-inspired Computational Model.

Sandra Gómez Canaval, Victor Mitrana, Mihaela Paun, Stanislav Vararuk

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors.

Sandra Gómez Canaval, Victor Mitrana, Mihaela Paun, Stanislav Vararuk

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence, 2019

2016

Towards Quantitative Networks of Polarized Evolutionary Processors: A Bio-Inspired Computational Model with Numerical Evaluations.

Sandra Gómez Canaval, Karina Jiménez, Alfonso Ortega de la Puente, Stanislav Vakaruk

Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016