2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) 2022
DOI: 10.1109/com-it-con54601.2022.9850855
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Magnetic Dipole Moment Estimation from Nearfield Measurements Using Stochastic Gradient Descent AI Model

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Cited by 3 publications
(2 citation statements)
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“…On the other hand, most current publications [2,6,10,12,14] tackling magnetic cleanliness are aimed at overcoming the technical problems that arise during the experimental determination of the magnetic moment of the spacecraft and its components. This is explained by the need to use both special magneto-measuring systems (Fig.…”
Section: Discussion Of Results Of Applying the Model Of Spherical Har...mentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, most current publications [2,6,10,12,14] tackling magnetic cleanliness are aimed at overcoming the technical problems that arise during the experimental determination of the magnetic moment of the spacecraft and its components. This is explained by the need to use both special magneto-measuring systems (Fig.…”
Section: Discussion Of Results Of Applying the Model Of Spherical Har...mentioning
confidence: 99%
“…In addition, the relatively small values of the magnetic moments of such spacecraft and the reduction in the dimensions of the measurement system negatively affect the reliability of the obtained results. Article [12] presents a method for estimating the magnetic dipole moment of a nanosatellite based on near-field magnetic induction measurements using methods developed for machine learning. With the help of complex neural network machine learning algorithms, it is possible to improve the probability of magnetic moment measurement results, but not to solve the problem completely.…”
Section: The Object Of This Study Is the Technology Of Ensuring Magne...mentioning
confidence: 99%