Federated and transfer learning for cancer detection based on image analysis
This review highlights the efficacy of combining federated learning (FL) and transfer learning
(TL) for cancer detection via image analysis. By integrating these techniques, research has …
(TL) for cancer detection via image analysis. By integrating these techniques, research has …
Spectrally adaptive common spatial patterns
The method of Common Spatial Patterns (CSP) is widely used for feature extraction of
electroencephalography (EEG) data, such as in motor imagery brain-computer interface …
electroencephalography (EEG) data, such as in motor imagery brain-computer interface …
A Transfer Learning Method for Motor Imagery EEG Signals Classification Based on CCSP and Riemannian Tangent Space Mapping
H Yang, F Wu, N Zhang, C Chen, A Wei… - … Conference on Real …, 2023 - ieeexplore.ieee.org
Motor imagery (MI) based Brain-Computer Interface (BCI) system controls external devices
by decoding Electroencephalography (EEG) signals recorded over the scalp. However, due …
by decoding Electroencephalography (EEG) signals recorded over the scalp. However, due …
A Review of Artificial Intelligence Research in Transmission Line Fault Diagnosis
F Xinxu, P Haitao, Z Guodong - 2023 7th International …, 2023 - ieeexplore.ieee.org
Transmission line routes play an extremely important role as vital components in power
systems. Due to factors such as overhead, exposed, and long distance, line faults and …
systems. Due to factors such as overhead, exposed, and long distance, line faults and …