Enhanced Emotion Recognition Using a Hybrid Autoencoder-LSTM Model Optimized with a Hybrid ACO-WOA Algorithm for Hyperparameter Tuning

Emotion recognition is vital in the human Computer interaction because it improves interaction. Therefore, this paper proposes an improved method for emotion recognition regarding the Hybrid Autoencoder-Long Short-Term Memory (LSTM) model and the newly developed hybrid approach of the Ant Colony Opt...

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Vydané v:	International journal of advanced computer science & applications Ročník 16; číslo 4
Hlavní autori:	Waiker, Vinod, Ramesh, Janjhyam Venkata Naga, Bala, Kiran, Krishnaiah, V. V. Jaya Rama, Jackulin, T., Muniyandy, Elangovan, Shahin, Osama R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	West Yorkshire Science and Information (SAI) Organization Limited 2025
Predmet:	Accuracy Algorithms Ant colony optimization Automation College professors Computer science Datasets Deep learning Emotion recognition Emotions Engineering Machine learning Optimization algorithms Social networks Tuning
ISSN:	2158-107X, 2156-5570
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