Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures

2020 ◽  
Vol 162 ◽  
pp. 113778 ◽  
Author(s):  
Sadegh Arefnezhad ◽  
Sajjad Samiee ◽  
Arno Eichberger ◽  
Matthias Frühwirth ◽  
Clemens Kaufmann ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Driver Drowsiness ◽  
Multi Level

Inclusion of Multiple Cycling of the Potential into Deep Neural Network Classification of Voltammetric Reaction Mechanisms

2021 ◽  
Author(s):  
Luke Gundry ◽  
Gareth Kennedy ◽  
Alan Bond ◽  
Jie Zhang
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Reaction Mechanisms ◽  
Deep Neural Network ◽  
Deep Neural Networks ◽  
Neural Network Classification ◽  
Initial Cycle

The use of Deep Neural Networks (DNNs) for the classification of electrochemical mechanisms based on training with simulations of the initial cycle of potential have been reported. In this paper,...

scholarly journals Deep Neural Networks for Automatic Classification of Anesthetic-Induced Unconsciousness

2018 ◽  
pp. 216-225
Author(s):  
Konstantinos Patlatzoglou ◽  
Srivas Chennu ◽  
Mélanie Boly ◽  
Quentin Noirhomme ◽  
Vincent Bonhomme ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Automatic Classification
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