Bayesian Experimental Design for Efficient Sensor Placement in Two-Dimensional Electromagnetic Imaging

Careful sensor placement is crucial in electromagnetic imaging experiments as it significantly impacts the quality and accuracy of the measurements. This study examines the placement of a network of sensors to advance the Bayesian learning with the aim of achieving a minimal level of uncertainty in...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Sandhu, Ali Imran, Dia, Ben Mansour, Dorn, Oliver, Soupios, Pantelis
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes methods Bayesian analysis Bayesian experimental design Biomedical measurement Design of experiments Electric fields Electromagnetic imaging Electromagnetics Imaging Machine learning optimal sensor placement Placement Qualitative analysis Sensor placement Sensors Transmitters Uncertainty
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