Cognitive workload quantification for air traffic controllers: an ensemble semi-supervised learning approach
The human-automation collaboration has garnered widespread attention due to the significant challenges remaining in achieving full automation in air traffic control (ATC) systems. Accurately identifying the cognitive workload of air traffic controllers (ATCOs) is critical to ensure a seamless transi...
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| Main Authors: | , , |
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| 格式: | Article |
| 語言: | English |
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2025
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| 在線閱讀: | https://hdl.handle.net/10356/182319 |
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