Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm

Emotion recognition systems are vital for various applications, yet existing models often face limitations in computational efficiency and accuracy, especially when handling complex emotional expressions in sequential data. To address these challenges, we propose an innovative emotion recognition fr...

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Detalhes bibliográficos

Principais autores:	Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-07-01
coleção:	Array
Assuntos:	Emotion recognition Randomized Convolutional Neural Networks (RCNN) Multi-head attention mechanism Evolutionary optimization Football Team Training Algorithm (FTTA) Real-time emotion detection
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2590005625000281
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