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Deep Learning for Unmanned Aerial Vehicles: Advancements, Applications, Challenges, and Future Directions

PaperCitations, authors & open-access status

Deep Learning for Unmanned Aerial Vehicles: Advancements, Applications, Challenges, and Future Directions is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 4 citations, 2023 year and closed oa status.

4
Citations
2023
Year
closed
OA Status

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