Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Andreu Perez Javier"'
Blockchain technology has become a trusted method for establishing secure and transparent transactions through a distributed, encrypted network. The operation of blockchain is governed by consensus algorithms, among which Proof of Stake (PoS) is popu
Externí odkaz:
http://arxiv.org/abs/2404.13337
Publikováno v:
2023 IEEE International Conference on Fuzzy Systems (FUZZ)
Myoelectric control is an area of electromyography of increasing interest nowadays, particularly in applications such as Hand Gesture Recognition (HGR) for bionic prostheses. Today's focus is on pattern recognition using Machine Learning and, more re
Externí odkaz:
http://arxiv.org/abs/2310.03754
Publikováno v:
2023 IEEE International Conference on Fuzzy Systems (FUZZ 2023)
Most of today's wearable technology provides seamless cardiac activity monitoring. Specifically, the vast majority employ Photoplethysmography (PPG) sensors to acquire blood volume pulse information, which is further analysed to extract useful and ph
Externí odkaz:
http://arxiv.org/abs/2309.13464
Autor:
Fumanal-Idocin, Javier, Andreu-Perez, Javier, Cordón, Oscar, Hagras, Hani, Bustince, Humberto
Automatic art analysis employs different image processing techniques to classify and categorize works of art. When working with artistic images, we need to take into account further considerations compared to classical image processing. This is becau
Externí odkaz:
http://arxiv.org/abs/2308.15284
Autor:
Filippetti, Maria Laura, Andreu-Perez, Javier, de Klerk, Carina, Richmond, Chloe, Rigato, Silvia
Publikováno v:
Neuroimage, 2022, 119756
In the last decade, fNIRS has provided a non-invasive method to investigate neural activation in developmental populations. Despite its increasing use in developmental cognitive neuroscience, there is little consistency or consensus on how to pre-pro
Externí odkaz:
http://arxiv.org/abs/2211.14855
Publikováno v:
IEEE Transactions on Artificial Intelligence, 2022
Explainable Artificial Intelligence (XAI) is a paradigm that delivers transparent models and decisions, which are easy to understand, analyze, and augment by a non-technical audience. Fuzzy Logic Systems (FLS) based XAI can provide an explainable fra
Externí odkaz:
http://arxiv.org/abs/2210.12571
Publikováno v:
Neurocomputing 500 (2022) 921-937
Human beings have an inherent capability to use linguistic information (LI) seamlessly even though it is vague and imprecise. Computing with Words (CWW) was proposed to impart computing systems with this capability of human beings. The interest in th
Externí odkaz:
http://arxiv.org/abs/2208.06532
Publikováno v:
IEEE Access (2022)
In recent years, neural networks and especially deep architectures have received substantial attention for EEG signal analysis in the field of brain-computer interfaces (BCIs). In this ongoing research area, the end-to-end models are more favoured th
Externí odkaz:
http://arxiv.org/abs/2204.06947
Autor:
Vega, Christian Flores, Quevedo, Jonathan, Escandón, Elmer, Kiani, Mehrin, Ding, Weiping, Andreu-Perez, Javier
Publikováno v:
Applied Soft Computing 117 (2022) 108359
The processing and classification of electroencephalographic signals (EEG) are increasingly performed using deep learning frameworks, such as convolutional neural networks (CNNs), to generate abstract features from brain data, automatically paving th
Externí odkaz:
http://arxiv.org/abs/2204.04338
The last decades have seen significant advancements in non-invasive neuroimaging technologies that have been increasingly adopted to examine human brain development. However, these improvements have not necessarily been followed by more sophisticated
Externí odkaz:
http://arxiv.org/abs/2112.12910