Search Results - Farooq, Muhamed

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  1. 1
    Portable Brain-Computer Interface for the Intensive Care Unit Patient Communication Using Subject-Dependent SSVEP Identification

    Portable Brain-Computer Interface for the Intensive Care Unit Patient Communication Using Subject-Dependent SSVEP Identification by Dehzangi, Omid, Farooq, Muhamed

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  2. 2
    Wearable Brain Computer Interface (BCI) to assist communication in the Intensive Care Unit (ICU)

    Wearable Brain Computer Interface (BCI) to assist communication in the Intensive Care Unit (ICU) by Dehzangi, Omid, Farooq, Muhamed

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  3. 3
    Optimization of stimulus properties for SSVEP-based BMI system with a heads-up display to control in-vehicle features

    Optimization of stimulus properties for SSVEP-based BMI system with a heads-up display to control in-vehicle features by Hamidi Shishavan, Hossein, Roy, Raheli, Golzari, Kia, Singla, Abhishek, Zalozhin, David, Lohan, Danny, Farooq, Muhamed, Dede, Ercan M, Kim, Insoo

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  4. 4
    Incipient Residual-Based Anomaly Detection in Power Electronic Devices

    Incipient Residual-Based Anomaly Detection in Power Electronic Devices by Yang, Qian, Gultekin, Muhammed A., Seferian, Vahe, Pattipati, Krishna, Bazzi, Ali M., Palmieri, Francesco A. N., Rajamani, Ravi, Joshi, Shailesh, Farooq, Muhamed, Ukegawa, Hiroshi

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  5. 5
    Discriminative training of subject-dependent Gaussian mixture models for portable SSVEP identification

    Discriminative training of subject-dependent Gaussian mixture models for portable SSVEP identification by Dehzangi, Omid, Farooq, Muhamed, Galster, Scott

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  6. 6
    High accuracy wearable SSVEP detection using feature profiling and dimensionality reduction

    High accuracy wearable SSVEP detection using feature profiling and dimensionality reduction by Farooq, Muhamed, Dehzangi, Omid

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  7. 7
    Acute Appendicitis in Children in the Era of Covid-19

    Acute Appendicitis in Children in the Era of Covid-19 by Fadhle, Muhamed Jassim, Al-Mayoof, Ali Farooq

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  8. 8
    Machine Learning Model for Predicting Number of COVID-19 Cases in Countries with Low Number of Tests

    Machine Learning Model for Predicting Number of COVID-19 Cases in Countries with Low Number of Tests by Hashim, Samy, Farooq, Sally, Syriopoulos, Eleni, la Lande Cremer, Kai de, Vogt, Alexander, de Jong, Nol, Aguado, Victor L., Popescu, Mihai, Mohamed, Ashraf K., Amin, Muhamed

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