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1
Case Study on Predictive Modeling of UAV Battery Remaining ..:
, In:
2024 International Conference on E-mobility, Power Control and Smart Systems (ICEMPS)
,
Reddy, Polu Sainadh
;
Deepa, K
;
Sangeetha, S. Tresa
- p. 1-5 , 2024
Link:
https://doi.org/10.1109/ICEMPS60684.2024.10559377
RT T1 <cTitle>2024 International Conference on E-mobility, Power Control and Smart Systems (ICEMPS)</cTitle>: T1 <Title>Case Study on Predictive Modeling of UAV Battery Remaining Useful Life Using Machine Learning Regression Techniques</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10559377&Exemplar=1&LAN=DE A1 Reddy, Polu Sainadh A1 Deepa, K A1 Sangeetha, S. Tresa YR 2024 K1 Accuracy K1 Predictive models K1 Autonomous aerial vehicles K1 Data models K1 Real-time systems K1 Batteries K1 Vehicle dynamics K1 UAV K1 Lithium-ion cells K1 RUL prediction K1 Machine Learning K1 SVR K1 RNN K1 LSTM K1 Random Forest SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICEMPS60684.2024.10559377 DO https://doi.org/10.1109/ICEMPS60684.2024.10559377 SF ELIB - SuUB Bremen
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