Tayyaba Faisal (@tayyabafaysal)
github

tayyabafaysal

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  • Global Rank 1,435,387 (Top 50 %)
  • Registered over 3 years ago
  • Most used languages
    Python
         100.0 %
  • Location ๐Ÿ‡ต๐Ÿ‡ฐ Pakistan
  • Country Total Rank 4,444
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    Python
         656

Top repositories

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CNN-LSTM-EEG

A hybrid CNN-LSTM model is trained to localise anomalies in each channel of EEG record. Proposed architecture is divided into two steps. First, Deep CNN is trained for detecting abnormal channels. Furthermore, to detect anomaly time from abnormal channels Long Short-Term Memory (LSTM) network is trained.
Python
5
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