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Stanislav Vakaruk
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- affiliation: Technical University of Madrid, Spain
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2020 – today
- 2024
- [j6]Alberto Mozo, Stanislav Vakaruk, Jesús Enrique Sierra-García, Antonio Pastor:
Anticipatory analysis of AGV trajectory in a 5G network using machine learning. J. Intell. Manuf. 35(4): 1541-1569 (2024) - [j5]Silvia Martín-Suazo, Jesús Morón-López, Stanislav Vakaruk, Amit Karamchandani, Juan Antonio Pascual Aguilar, Alberto Mozo, Sandra Gómez Canaval, Meritxell Vinyals, Juan Manuel Ortiz:
Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms. Knowl. Based Syst. 301: 112279 (2024) - 2023
- [j4]Amit Karamchandani, Alberto Mozo, Stanislav Vakaruk, Sandra Gómez Canaval, Jesús Enrique Sierra-García, Antonio Pastor:
Using N-BEATS ensembles to predict automated guided vehicle deviation. Appl. Intell. 53(21): 26139-26204 (2023) - [j3]Stanislav Vakaruk, Amit Karamchandani, Jesús Enrique Sierra-García, Alberto Mozo, Sandra Gómez Canaval, Antonio Pastor:
Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case. Sensors 23(7): 3516 (2023) - 2022
- [p1]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:
A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS). Data Spaces 2022: 201-226 - 2021
- [j2]Stanislav Vakaruk, Jesús Enrique Sierra-García, Alberto Mozo, Antonio Pastor:
Forecasting Automated Guided Vehicle Malfunctioning with Deep Learning in a 5G-Based Industry 4.0 Scenario. IEEE Commun. Mag. 59(11): 102-108 (2021) - [c4]Stanislav Vakaruk, Alberto Mozo, Antonio Pastor, Diego R. López:
A Digital Twin Network for Security Training in 5G Industrial Environments. DTPI 2021: 395-398 - 2020
- [j1]Antonio Pastor, Alberto Mozo, Stanislav Vakaruk, Daniele Canavese, Diego R. López, Leonardo Regano, Sandra Gómez Canaval, Antonio Lioy:
Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning. IEEE Access 8: 158036-158055 (2020)
2010 – 2019
- 2019
- [c3]Sandra Gómez Canaval, Victor Mitrana, Mihaela Paun, Stanislav Vararuk:
Ultra-Scalable Simulations of Networks of Polarized Evolutionary Processors. ICAAI 2019: 73-81 - [c2]Sandra Gómez Canaval, Victor Mitrana, Mihaela Paun, Stanislav Vararuk:
High Performance and Scalable Simulations of a Bio-inspired Computational Model. HPCS 2019: 543-550 - 2016
- [c1]Sandra Gómez Canaval, Karina Jiménez, Alfonso Ortega de la Puente, Stanislav Vakaruk:
Towards Quantitative Networks of Polarized Evolutionary Processors: A Bio-Inspired Computational Model with Numerical Evaluations. PAAMS (Special Sessions) 2016: 251-259
Coauthor Index
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