AUTOMATED DETECTION OF MAJOR DEPRESSIVE DISORDER WITH EEG SIGNALS: A TIME SERIES CLASSIFICATION USING DEEP LEARNING

Major depressive disorder (MDD) has been considered a severe and common ailment with effects on functional frailty, while its clear manifestations are shrouded in mystery.Hence, manual detection of MDD is a challenging and subjective task.Although Electroencephalogram (EEG) signals have shown promise in aiding diagnosis, further enhancement is requ

The aim of this work was to develop a process for the removal of Sn, Sb and As from anode slime out of copper refinery to disburden a subsequent pyrometallurgical processing for precious metals refinement.For this reason, a detailed literature survey was conducted, followed by 3 piece horse wall art a characterization to find the present compounds/