In this letter, a deep-learning-based neural network for magnetic dipole modeling (MDMnet)
is introduced in the framework of dc magnetic cleanliness for space missions. The …

Magnetic Dipole Modeling (MDM) is a well-established method for fitting the spatial
magnetic signature generated by magnetic sources into a model comprised of magnetic …

Περίληψη Η παρούσα διδακτορική διατριβή συντέθηκε με βάση μια σειρά από τεχνικές και
πειραματικές ενότητες, στοχευμένες κυρίως στην παρουσίαση και την εφαρμογή προηγμένων …

Background The inverse problem solution in the field of ElectroEncephaloGraphy (EEG)
analysis has been addressed in the scientific literature for many decades, utilizing either …

In a space system or equipment, electromagnetic compatibility is a critical aspect affecting its
operation, function, and performance. In the beginning of this chapter, an overview of the …