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Conclusions and future developments

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dc.contributor.authorCarruba, Valerio [UNESP]
dc.contributor.authorSmirnov, Evgeny
dc.contributor.authorOszkiewicz, Dagmara
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionBelgrade Astronomical Observatory
dc.contributor.institutionAdam Mickiewicz University
dc.date.accessioned2025-04-29T20:14:08Z
dc.date.issued2024-01-01
dc.description.abstractIn this chapter, we aim to revise the content presented in this book, classify the status of ML applied to small bodies as a research field, using metrics already in use for other astronomical areas where ML has been applied, and present some possible future trends and worthy subjects of exploration for applications of AI and ML to Solar System small bodies.en
dc.description.affiliationSão Paulo State University (UNESP) Department of Mathematics, SP
dc.description.affiliationBelgrade Astronomical Observatory
dc.description.affiliationAstronomical Observatory Institute Faculty of Physics and Astronomy Adam Mickiewicz University
dc.description.affiliationUnespSão Paulo State University (UNESP) Department of Mathematics, SP
dc.format.extent295-306
dc.identifierhttp://dx.doi.org/10.1016/B978-0-44-324770-5.00016-7
dc.identifier.citationMachine Learning for Small Bodies in the Solar System, p. 295-306.
dc.identifier.doi10.1016/B978-0-44-324770-5.00016-7
dc.identifier.scopus2-s2.0-85214149761
dc.identifier.urihttps://hdl.handle.net/11449/308995
dc.language.isoeng
dc.relation.ispartofMachine Learning for Small Bodies in the Solar System
dc.sourceScopus
dc.subjectDatabases
dc.subjectMinor planets, asteroids: general
dc.subjectMinor planets, asteroids: individual
dc.titleConclusions and future developmentsen
dc.typeCapítulo de livropt
dspace.entity.typePublication

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