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What is UAV Flight Time Prediction Framework about?

This paper presents an intelligent framework for predicting the flight time of unmanned aerial vehicles (UAVs) by considering varying payload weights and energy consumption. It proposes regression and deep learning methods based on empirical studies of UAV flight events, addressing the lack of existing prediction algorithms that account for different payloads. The findings aim to assist researchers and planners in ensuring successful UAV missions by providing accurate flight time predictions.

Author

yojana mallik

Language

EN