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Emotion recognition in EEG signals using deep learning methods: A review
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …
planning, reasoning, and other mental states. As a result, they are considered a significant …
Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Emotion is a subjective psychophysiological reaction coming from external stimuli which
impacts every aspect of our daily lives. Due to the continuing development of non-invasive …
impacts every aspect of our daily lives. Due to the continuing development of non-invasive …
BiLSTM multitask learning-based combined load forecasting considering the loads coupling relationship for multienergy system
Y Guo, Y Li, X Qiao, Z Zhang, W Zhou… - … on Smart Grid, 2022 - ieeexplore.ieee.org
Accurate load forecasting is the key to economic dispatch and efficient operation of Multi-
Energy System (MES). This paper proposes a combined load forecasting method for MES …
Energy System (MES). This paper proposes a combined load forecasting method for MES …
Toward purifying defect feature for multilabel sewer defect classification
An automatic vision-based sewer inspection plays a key role of sewage system in a modern
city. Recent advances focus on utilizing a deep learning model to realize the sewer …
city. Recent advances focus on utilizing a deep learning model to realize the sewer …
Multisource associate domain adaptation for cross-subject and cross-session EEG emotion recognition
Emotion recognition is important in the application of brain–computer interface (BCI).
Building a robust emotion recognition model across subjects and sessions is critical in …
Building a robust emotion recognition model across subjects and sessions is critical in …
Brain emotion perception inspired EEG emotion recognition with deep reinforcement learning
D Li, L ** aspects of our
lives, including our cognitive and perceptual abilities. Hence, emotion recognition also is …
lives, including our cognitive and perceptual abilities. Hence, emotion recognition also is …
EEG-based emotion recognition for hearing impaired and normal individuals with residual feature pyramids network based on time–frequency–spatial features
F Hou, J Liu, Z Bai, Z Yang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of affective computing, discriminative feature selection is critical for
electroencephalography (EEG) emotion recognition. In this article, we fused four EEG …
electroencephalography (EEG) emotion recognition. In this article, we fused four EEG …