Search Results

Metallicity-dependent kinematics and orbits in the Milky Way's nuclear stellar disc.

• Authors : Nogueras-Lara, F.; Nieuwmunster, N.; Schultheis, M.

Subjects: STELLAR structure; DISTRIBUTION of stars; GAUSSIAN mixture models

• Source: Astronomy & Astrophysics / Astronomie et Astrophysique; 9/26/2024, Vol. 690, p1-11, 11p

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Chaotic diffusion of the fundamental frequencies in the Solar System (Corrigendum).

• Authors : Hoang, Nam H.¹ (AUTHOR) ; Mogavero, Federico¹ (AUTHOR); Laskar, Jacques¹ (AUTHOR)

Subjects: *GAUSSIAN mixture models; *STATISTICAL mechanics

• Source: Astronomy & Astrophysics / Astronomie et Astrophysique. 3/222023, Vol. 671, p1-1. 1p.

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The GAPS Programme at TNG: LI. Investigating the correlations between transiting system parameters and host chromospheric activity.

• Authors : Claudi, R.; Bruno, G.; Fossati, L.

Subjects: MAIN sequence (Astronomy); STELLAR activity; GAS giantsHONG Kong (China)

• Source: Astronomy & Astrophysics / Astronomie et Astrophysique; 1/27/2024, Vol. 682, p1-21, 21p

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Stellar rotation periods from K2 Campaigns 0-18 Evidence for rotation period bimodality and simultaneous variability decrease.

• Authors : Reinhold, Timo; Hekker, Saskia

Subjects: STELLAR rotation; ROTATIONAL motion; GAUSSIAN mixture modelsKEPLER, Johannes, 1571-1630

• Source: Astronomy & Astrophysics / Astronomie et Astrophysique; Mar2020, Vol. 635, p1-13, 30p

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Estimating extinction using unsupervised machine learning.

• Authors : Meingast, Stefan; Lombardi, Marco; Alves, João

Subjects: MACHINE learning; COSMIC dust; INTERSTELLAR medium

• Source: Astronomy & Astrophysics / Astronomie et Astrophysique; May2017, Vol. 601, p1-12, 12p

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ELEMENTS OF STATISTICS.

• Authors : Grégoire, G.

Subjects: STATISTICS; RANDOM variables; PROBABILITY theory

• Source: EAS Publications Series; 2016, Vol. 77, p13-37, 25p

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Automatic acoustic recognition of shad splashing using a smartphone.

• Authors : DIEP, Daniel; NONON, Hervé; MARC, Isabelle

Subjects: SPAWNING; SMARTPHONES; ACOUSTIC signal processing

• Source: Aquatic Living Resources; Apr2016, Vol. 29 Issue 2, p1-6, 6p

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Machine learning analysis of fission product yields.

• Authors : Tsioulos, V.; Prassa, V.

Subjects: FISSION products; NUCLEAR physics; MACHINE learning

• Source: EPJ Web of Conferences; 10/8/2024, Vol. 304, p1-4, 4p

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Digital audio preservation for Indonesian traditional vocal recognition based on machine learning: A literature review and bibliometric analysis.

• Authors : Midyanti, Hafizhah Insani; Sukmayadi, Yudi; Sella, Fensy

• Source: SHS Web of Conferences; 9/6/2024, Vol. 197, p1-18, 18p

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Analytical Survey on the Sustainable Advancements in Water and Hydrology Resources with AI Implications for a Resilient Future.

• Authors : Bhadauria, Alok; Reddy, M. Siva Swetha; Asha, V.

• Source: E3S Web of Conferences; 7/23/2024, Vol. 552, p1-14, 14p

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