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most citedEnhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis

8 citations · 10 across the 3 of their papers we have counts for

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cs.LG2026

A comparative and critical study of EEGNet for fNIRS-driven cognitive load classification

Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang +8

Accurately classifying cognitive load from functional near-infrared spectroscopy (fNIRS) signals remains a significant challenge due to temporal variability, inter-subject differen…