IEEE

EEG-Based Four Level Fear Classification using Graph Neural Network and LSTM Fusion Model: Comparing Raw and DE Features with k-Fold and Leave-One-Subject-Out

Abstract: Electroencephalography (EEG)-based four-level fear classification is important for mental-health assessment and emotion-aware systems, yet robust generalization to unseen subjects remains ...
IEEE

Image Captioning in Amharic Language using Deep Convolutional Neural Networks with LSTM

Abstract: Image captioning has become one of the important areas of research that automatically produces comprehensible natural language descriptions of visual content, especially static images, by ...