Theoretical Study on 10C Elastic Scattering Cross Sections Using Different Cluster Density Distributions and Different Potentials

Autor: Sunday Olorunfunmi, Armand Bahini, Adenike Olatinwo

Publikováno v: Journal of Nigerian Society of Physical Sciences, Vol 5, Iss 2 (2023)

Elastic scattering cross sections are a fundamental aspect of nuclear physics research, and studying the cross sections of various nuclei can provide important insights into the behavior of nuclei. In this study, the elastic scattering cross sections

Externí odkaz: https://doaj.org/article/2a8f0e11d78841678093d6ce770420aa

Classification and Recognition of Building Appearance Based on Optimized Gradient-Boosted Decision Tree Algorithm

Autor: Mengting Hu, Lingxiang Guo, Jing Liu, Yuxuan Song

Publikováno v: Sensors, Vol 23, Iss 11, p 5353 (2023)

There are high concentrations of urban spaces and increasingly complex land use types. Providing an efficient and scientific identification of building types has become a major challenge in urban architectural planning. This study used an optimized g

Externí odkaz: https://doaj.org/article/28ead27d35674a3d98057a938a2ad50a

Classification and Recognition of Building Appearance Based on Optimized Gradient-Boosted Decision Tree Algorithm

Autor: Song, Mengting Hu, Lingxiang Guo, Jing Liu, Yuxuan

Publikováno v: Sensors; Volume 23; Issue 11; Pages: 5353

There are high concentrations of urban spaces and increasingly complex land use types. Providing an efficient and scientific identification of building types has become a major challenge in urban architectural planning. This study used an optimized g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::ab40a72f17e5f0f152127686a629d1d4

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Does the yield curve signal recessions? New evidence from an international panel data analysis

Autor: Jean-Baptiste Hasse, Quentin Lajaunie

Publikováno v: Quarterly Review of Economics and Finance
Quarterly Review of Economics and Finance, 2022, 84, pp.9-22. ⟨10.1016/j.qref.2022.01.001⟩
The Quarterly Review of Economics and Finance, Vol. 84, p. 9-22 (2022)

Economics; International audience; In this paper, we reexamine the predictive power of the yield spread across countries and over time. Using a dynamic panel/dichotomous model framework and a unique dataset covering 13 OECD countries over the period

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b2de989e9c1555f32da9791c817fe59
https://amu.hal.science/hal-03740235