Selaus avainsanan mukaan kokoelmassa "Data models"Tieteelliset julkaisut
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A Hybrid Deep Learning Approach for Epileptic Seizure Detection in EEG signals
(IEEE, 10.04.2023)Early detection and proper treatment of epilepsy is essential and meaningful to those who suffer from this disease. The adoption of deep learning (DL) techniques for automated epileptic seizure detection using electroenc ... -
One-Dimensional Model for the Nonlinear Resistive Electric Field Control in Medium-Voltage Rotating Electrical Machines
(IEEE, 15.04.2021)This study provides an insight in the analytical estimation of the electric field along the surface of a stress grading system (SGS) in the end-winding region of an electrical machine. An analytical approach is derived for ... -
Wide-Area Composite Load Parameter Identification Based on Multi-Residual Deep Neural Network
(IEEE, 22.12.2021)Accurate and practical load modeling plays a critical role in the power system studies including stability, control, and protection. Recently, wide-area measurement systems (WAMSs) are utilized to model the static and ...
