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

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Identifying irrigated areas using land surface temperature and hydrological modelling: application to the Rhine basin

Information about irrigation with relevant spatiotemporal resolution for understanding and modelling irrigation dynamics is important for improved water resource management.However, achieving a frequent and consistent characterization of areas where signals from rain-fed pixels overlap with irrigated pixels has been challenging.Here, we identify ir

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