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1
Implementing Machine Learning Techniques to Optimize Near-F..:
, In:
2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT)
,
Patil, Shashikant
;
Bishnoi, Sunita
;
N, Beemkumar
- p. 685-691 , 2024
Link:
https://doi.org/10.1109/CSNT60213.2024.10545772
RT T1 <cTitle>2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT)</cTitle>: T1 <Title>Implementing Machine Learning Techniques to Optimize Near-Field Wireless Power Transfer</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10545772&Exemplar=1&LAN=DE A1 Patil, Shashikant A1 Bishnoi, Sunita A1 N, Beemkumar YR 2024 SN 2473-5655 K1 Technological innovation K1 Renewable energy sources K1 Power control K1 Neural networks K1 Resonant frequency K1 Wireless power transfer K1 User experience K1 Environmental Impact K1 Interference Mitigation K1 Machine Learning K1 Near-Field K1 Optimization K1 Power Transfer K1 Safety K1 User Experience SP 685 OP 691 LK http://dx.doi.org/https://doi.org/10.1109/CSNT60213.2024.10545772 DO https://doi.org/10.1109/CSNT60213.2024.10545772 SF ELIB - SuUB Bremen
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