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A Machine Learning-Enabled mmID-Sensor for High-Accuracy Or..:
, In:
2023 8th International Conference on Smart and Sustainable Technologies (SpliTech)
,
Joshi, Marvin
;
Soto-Valle, Genaro
;
Lynch, Charles
. - p. 1-5 , 2023
Link:
https://doi.org/10.23919/SpliTech58164.2023.10193294
RT T1 <cTitle>2023 8th International Conference on Smart and Sustainable Technologies (SpliTech)</cTitle>: T1 <Title>A Machine Learning-Enabled mmID-Sensor for High-Accuracy Orientation and DoA Estimation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10193294&Exemplar=1&LAN=DE A1 Joshi, Marvin A1 Soto-Valle, Genaro A1 Lynch, Charles A1 Tentzeris, Manos YR 2023 K1 Solid modeling K1 Direction-of-arrival estimation K1 Machine learning algorithms K1 Azimuth K1 Supervised learning K1 Estimation K1 Sensors K1 millimeter-Wave K1 RFID K1 Machine Learning K1 Radar K1 AR/VR K1 Localization SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.23919/SpliTech58164.2023.10193294 DO https://doi.org/10.23919/SpliTech58164.2023.10193294 SF ELIB - SuUB Bremen
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