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Author

P. Mula

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2 papers indexed here

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Conference Jul 2026

EmoStack-Net: A Hybrid Feature Learning Framework for EEG-based Emotion Recognition

Electroencephalography (EEG) is a key research field in affective computing and brain-computer interface applications for the recognition of emotion. But the non-stationary and complex nature of EEG signals presents a great challenge for emotion classification. In this paper, a novel hybrid feature learning framework f...

P. Mula, V. Malathy, Mohammad Farukh Hashmi et al. · 0 citations
Conference Jul 2026

Adaptive Multi-Domain EEG Feature Fusion with Augmented Machine Learning Framework for Four-Class Emotion Recognition

EEG based Emotion recognition has gained a lot of interest in the domain of Affective Computing, Healthcare and Human-Computer Interaction. Emotion classification in EEG signals remains difficult, though, because of their nonlinearity, noise and dependence on the specific person. In this paper, we suggest an Adaptive M...

P. Mula, V. Malathy, Mohammad Farukh Hashmi et al. · 0 citations

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