IEEE

State of Charge Estimation in Li-Ion Batteries Using a Parallel LSTM-Based Approach: The Impact of Modeling Based on Operating States

Abstract: In Li-ion battery applications, effective energy management relies heavily on accurate knowledge of the state of charge (SOC). As SOC cannot be directly measured, it must be estimated using ...
IEEE

Hybrid CNN-LSTM Framework for Accurate Detection and Classification of Epileptic Seizures using EEG Signals

Abstract: This work introduces a robust hybrid CNN-LSTM framework designed for the reliable identification and categorization of epileptic seizures using electroencephalogram (EEG) signals. The model ...