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Principal Investigator  
Principal Investigator's Name: Houssem MEGHNOUDJ
Institution: GIPSA-LAB
Department: Automatics
Country:
Proposed Analysis: Good morning, I'm an algerian student at "National Polytechnic School" and I'm having my internship at Gipsa-lab in France. I'm currently searching for a more specific searching topic (using time-series data) for fault diagnosis or disease identification. I read many papers and none of them attracted my attention. One paper interested me a lot was "Supervised Network-Based Fuzzy Learning of EEG Signals for Alzheimer’s Disease Identification". I want to use LSTM (long-short term memory) directly on the data, or some auto-encoder for feature extraction, or directly transform the raw signal data to image (matrix) just by stacking windows of the data or by performing transformation like FFT (to form a spectrogram) and feeding these information to a CNN for feature extraction and classification in order to trying improve the accuracy of identifying Alzheimer Disease. Thank you for your consideration.
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