Payload Prediction for Quadro Drone using Temporal Deep Machine Learning Models
In this paper, four different deep-learning and temporal machine-learning techniques are used to predict the payload of the DJI Matrice 100 quadcopter drone based on its tracking data. Tracking variables for real-life experimentations are provided as open source for payloads of 0.0, 250, 500, and 75...
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2024
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| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1615 |
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