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Ping-Keng Jao

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Ping-Keng Jao

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Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions with Drones

Decoding Cognitive States under Varying Difficulty Levels

EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping Tasks

Using Robust Principal Component Analysis to Reduce EEG Intra-Trial Variability

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Decoding Cognitive States under Varying Difficulty Levels

EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping Tasks

Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions with Drones

Using Robust Principal Component Analysis to Reduce EEG Intra-Trial Variability

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks