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 ...
Abstract: Infrared imaging is vital for real-time methane leak detection in industrial environments, yet the computational complexity of 3D Convolutional Neural Networks (3D-CNNs) like VideoGasNet ...