Research reading 054 / Actors / 2023

Flight Training Subject Identification Method Based on Multivariate Subsequence Search With Double Windows

Source authors: Jing Lu; Jingli Deng; Zhou Ren; Yu Shi

Originally published in IEEE Access · 2023

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Flight Training Subject Identification Method Based on Multivariate Subsequence Search With Double Windows
Jing Lu; Jingli Deng; Zhou Ren; Yu Shi

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A1 Curriculum, instructors and assessment

Why read this for flight training?

Addresses identifying training subjects from flight time-series data. Useful for organizing flight records before assessment and targeted debriefing.

How to interpret the evidence

Task identification is a supporting capability, not a complete assessment of pilot competence.

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Cite the original article

Jing Lu; Jingli Deng; Zhou Ren; Yu Shi (2023). Flight Training Subject Identification Method Based on Multivariate Subsequence Search With Double Windows. IEEE Access, 11, 3221-3231. https://doi.org/10.1109/access.2022.3232808

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The original paper retains its published authors, venue and DOI. This journal’s reading guide was prepared with AI assistance under the editorial direction of Dr. Freedom Cheteni. The source authors are not credited as authors of this annotation. No new peer review or DOI is claimed for the guide.

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