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Jingwei Too


Last seen: 8 meses hace |  Con actividad desde 2019

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Professional Interests: Feature Selection, Metaheuristics, Machine Learning, Data Mining, and Signal Processing

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Respondida
Can anyone tell me how to solve this error?
Why don't you try on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71461-simple-machine-learning-algorithms-...

casi 4 años hace | 0

Respondida
Eyes closed and Open EEG data predict?
Let say you have 10 participants, and 38 channels. You extract one feature (alpha power) from each participant. Then your featur...

casi 4 años hace | 1

Respondida
what can I do to implement the features like Mean Absolute Value and variance using their given definition per channel or formula for a given signal in order to generate a feature vector?
you may have a look on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71514-emg-feature-extraction-toolbox?s_...

casi 4 años hace | 0

Respondida
Eyes closed and Open EEG data predict?
You may follow these step (1) Extract the features from the EEG signals (for both eye closed and open) (2) You may perform the...

casi 4 años hace | 0

| aceptada

Respondida
How to use ReliefF algorithm for a dataset?
you may have a look on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71611-simple-filter-feature-selection-a...

casi 4 años hace | 0

Respondida
Failed to Call Classification Learner's Testing Function
you may have a look on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71461-simple-machine-learning-algorithm...

casi 4 años hace | 0

Respondida
how to use ReliefF algorithm for feteare selection?
You may have a look on https://www.mathworks.com/matlabcentral/fileexchange/71611-simple-filter-feature-selection-algorithms?s_t...

casi 4 años hace | 0

Respondida
EMG acquisition sampling rate
Dear ky nguyen, Normally, EMG signal is captured at the sampling rate of 1000 Hz since a lower sampling might not given you mu...

casi 5 años hace | 0

Respondida
Cutting of sampled signal into two parts
Dear Rasheed Asad, There are several ways to do that: (1) You can use fast fourier transform (FFT) (2) You can use short t...

casi 5 años hace | 1

| aceptada