Temporal Machine Learning Payload Prediction for DJI Matrice 100 Quadcopter Drone Based on Tracking Data

Temporal Machine Learning Payload Prediction for DJI Matrice 100 Quadcopter Drone Based on Tracking Data

This paper presents three different machine-learning techniques to predict the payloads of DJI Matrice 100 quadcopter drones. The tracking data is based on real-life experimentation that is provided as open source. The payloads are 0.0, 250, 500, and 750 grams. The Machine Learning techniques are LS...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Kashkash, Mariam (author)
مؤلفون آخرون:	Seghrouchni, Amal El Fallah (author), Barbaresco, Frederic (author), Abu Zitar, Raed (author)
منشور في:	2024
الموضوعات:	Training Machine learning Kinematics Predictive models Data models Long short term memory Payloads
الوصول للمادة أونلاين:	https://depot.sorbonne.ae/handle/20.500.12458/1593
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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