Bilal Afzal

Jul 3, 2024 | mdpi.com | Muhammad Afzal |Zhenyu Gu |Syed Umer Bukhari |Bilal Afzal

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Sep 22, 2023 | mdpi.com | Muhammad Afzal |Zhenyu Gu |Bilal Afzal |Syed Umer Bukhari

4.1. Performance of Bi-Directional Gated Network (BDGN) ModelThe BDGN (Bi-directional Gated Neural Network) model, which combines the LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit) architectures, was implemented and evaluated for cognitive workload classification in real-time industrial applications. The model demonstrated exceptional performance, achieving a remarkable accuracy of 98%.