Recent approaches on classification and feature extraction of EEG signal: A review
Objective: Electroencephalography (EEG) has an influential role in neuroscience and
commercial applications. Most of the tools available for EEG signal analysis use machine …
commercial applications. Most of the tools available for EEG signal analysis use machine …
A review of designs and applications of echo state networks
Photovoltaic power prediction method for zero energy consumption buildings based on multi-feature fuzzy clustering and MAOA-ESN
N Li, L Li, F Huang, X Liu, S Wang - Journal of Building Engineering, 2023 - Elsevier
Due to their high efficiency and compatibility with building integration, photovoltaic (PV)
power generation systems are frequently utilized in zero energy buildings (ZEBs). However …
power generation systems are frequently utilized in zero energy buildings (ZEBs). However …
FC–HAT: hypergraph attention network for functional brain network classification
Recently, functional brain network analysis via graph neural networks has achieved state-of-
the-art results as it can directly extract information from irregular graphs without any …
the-art results as it can directly extract information from irregular graphs without any …
Densely feature fusion based on convolutional neural networks for motor imagery EEG classification
D Li, J Wang, J Xu, X Fang - IEEE Access, 2019 - ieeexplore.ieee.org
Electroencephalogram (EEG) signals have been used in the Brain-computer interface (BCI)
technology to implement direct communication between the human body and the outside …
technology to implement direct communication between the human body and the outside …
[HTML][HTML] A novel semi-supervised meta learning method for subject-transfer brain–computer interface
The brain–computer interface (BCI) provides a direct communication pathway between the
human brain and external devices. However, the models trained for existing subjects …
human brain and external devices. However, the models trained for existing subjects …
A systematic review of echo state networks from design to application
A recurrent neural network (RNN) has demonstrated its outstanding ability in sequence
tasks and has achieved state of the art in many applications, such as industrial and medical …
tasks and has achieved state of the art in many applications, such as industrial and medical …