DROWSINESS DETECTION USING OCULAR INDICES FROM EEG SIGNAL

Drowsiness Detection Using Ocular Indices from EEG Signal

Drowsiness is one of the main causes of road accidents and endangers the lives of road users.Recently, there has been considerable interest in utilizing features extracted from electroencephalography (EEG) signals to detect driver drowsiness.However, in most of the work performed in this area, the eyeblink or ocular artifacts present in EEG signals

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Reassessment of Plio-Quaternary aquifer mineralization (Sidi Mansour plain, Southern Tunisia): a machine learning approach

Understanding aquifer mineralization is crucial for sustainable water resource management.Thus, the Plio-Quaternary aquifer of the Sidi Mansour plain was studied in detail for reassessment of its heterogeneous CLARIFYING AND DENSIFYING SHAMPOO mineralization water.Geochemical analysis and stable (18O, 2H) and radiogenic isotope (3H, 14C) analyses h

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