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Signal-Audio-Image-Denoising-using-Recurrent-Neural-Network-RNN-
Signal-Audio-Image-Denoising-using-Recurrent-Neural-Network-RNN- PublicIn this repository, RNN structures were used to denoise various signals and images.
Jupyter Notebook 2
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Brain-source-localization
Brain-source-localization PublicIn this repository, source localization algorithms such as MNE, WMNE, LORETA, and sLORETA were implemented.
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EEG-data-classification-using-Genetic-algorithms
EEG-data-classification-using-Genetic-algorithms PublicIn this repository, features were extracted from EEG data and best features were selected for classifying the signals using Genetic Algorithms.
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EEG-Artifact-Reduction
EEG-Artifact-Reduction PublicIn this repository, some blind and semi-blind source separation methods, such as PCA, GEVD, ICA, and DSS, have been implemented to eliminate the EEG artifacts.
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EEG-Data-Classification-using-Common-Spatial-Pattern-CSP-method
EEG-Data-Classification-using-Common-Spatial-Pattern-CSP-method PublicIn this repository, the CSP algorithm was applied to classify the imagination of foot movement and mental subtraction tasks.
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Joint-Object-Detection-Depth_Estimation
Joint-Object-Detection-Depth_Estimation PublicIn this repository, a concatenated deep neural network that performs joint object detection and depth estimation was implemented.
Jupyter Notebook
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