Zobrazeno 1 - 10
of 379
pro vyhledávání: '"Lind, Pedro"'
Electroencephalography (EEG) data provides a non-invasive method for researchers and clinicians to observe brain activity in real time. The integration of deep learning techniques with EEG data has significantly improved the ability to identify meani
Externí odkaz:
http://arxiv.org/abs/2409.17815
We explore the use of quantum generative adversarial networks QGANs for modeling eye movement velocity data. We assess whether the advanced computational capabilities of QGANs can enhance the modeling of complex stochastic distribution beyond the tra
Externí odkaz:
http://arxiv.org/abs/2408.00673
We investigate the potential of bio-inspired evolutionary algorithms for designing quantum circuits with specific goals, focusing on two particular tasks. The first one is motivated by the ideas of Artificial Life that are used to reproduce stochasti
Externí odkaz:
http://arxiv.org/abs/2408.00448
Autor:
Glover, Tom Eivind, Jahren, Ruben, Martinuzzi, Francesco, Lind, Pedro Gonçalves, Nichele, Stefano
Elementary Cellular Automata (ECA) are a well-studied computational universe that is, despite its simple configurations, capable of impressive computational variety. Harvesting this computation in a useful way has historically shown itself to be diff
Externí odkaz:
http://arxiv.org/abs/2407.18017
Autor:
Gåsvær, Kaspara Skovli, Lind, Pedro G., Langguth, Johannes, Hjorth-Jensen, Morten, Kreil, Michael, Schroeder, Daniel Thilo
Shortly after the first COVID-19 cases became apparent in December 2020, rumors spread on social media suggesting a connection between the virus and the 5G radiation emanating from the recently deployed telecommunications network. In the course of th
Externí odkaz:
http://arxiv.org/abs/2310.05542
Time-evolving data sets can often be arranged as a higher-order tensor with one of the modes being the time mode. While tensor factorizations have been successfully used to capture the underlying patterns in such higher-order data sets, the temporal
Externí odkaz:
http://arxiv.org/abs/2308.07126
Publikováno v:
Physica D: Nonlinear Phenomena 441 (2022)
There is evidence that biological systems, such as the brain, work at a critical regime robust to noise, and are therefore able to remain in it under perturbations. In this work, we address the question of robustness of critical systems to noise. In
Externí odkaz:
http://arxiv.org/abs/2208.00746
The European Power Exchange has introduced day-ahead auctions and continuous trading spot markets to facilitate the insertion of renewable electricity. These markets are designed to balance excess or lack of power in short time periods, which leads t
Externí odkaz:
http://arxiv.org/abs/2112.03513