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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Autors principals:	Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-07-01
Col·lecció:	Array
Matèries:	Emotion recognition Randomized Convolutional Neural Networks (RCNN) Multi-head attention mechanism Evolutionary optimization Football Team Training Algorithm (FTTA) Real-time emotion detection
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2590005625000281
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