The research team at the University of Electro-Communications has introduced "HikingTTE," a deep learning model that accurately predicts hiking travel times. Traditional methods typically use ...

The AI model employs a hybrid deep learning approach combining convolutional neural networks (CNNs) and long short-term memory (LSTM) architectures. CNNs extract spatial features from EEG data, while ...