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A Hybrid approach to detect driver drowsiness utilizing physio-logical signals to improve system performance and wearability

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    APA: Copy

    . (2017). A Hybrid approach to detect driver drowsiness utilizing physio-logical signals to improve system performance and wearability. SENSORS, 17(-), 0-0. SID. https://sid.ir/paper/732658/en

    Vancouver: Copy

    . A Hybrid approach to detect driver drowsiness utilizing physio-logical signals to improve system performance and wearability. SENSORS[Internet]. 2017;17(-):0-0. Available from: https://sid.ir/paper/732658/en

    IEEE: Copy

    , “A Hybrid approach to detect driver drowsiness utilizing physio-logical signals to improve system performance and wearability,” SENSORS, vol. 17, no. -, pp. 0–0, 2017, [Online]. Available: https://sid.ir/paper/732658/en

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    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
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