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1
Onset of chaotic gravitational lensing in non-Kerr rotating black holes with quadrupole mass moment
Onset of chaotic gravitational lensing in non-Kerr rotating black holes with quadrupole mass moment
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Onset of chaotic gravitational lensing in non-Kerr rotating black holes with quadrupole mass moment

Wen-Hao Wu Cheng-Youg Zhang; Cheng-Gang Shao; Wei-Liang Qian

Chinese Physics C v.47, n.8, art. 085102,p. 1-15, 2023

Beijing IOP Science 2023

Item não circula. Consulte sua biblioteca.(Acessar)

2
Dynamic generation or removal of a scalar hair
Dynamic generation or removal of a scalar hair
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Dynamic generation or removal of a scalar hair

Yunqi Liu Cheng-Youg Zhang; Wei-Liang Qian; Kai Lin; Bin Wang

Journal of high energy physics v.2023, n.1 , art. 74, p.1-25, 2023

Springer 2023

Item não circula. Consulte sua biblioteca.(Acessar)

3
Traversable thin-shell wormhole in the 4D Einstein-Gauss-Bonnet theory
Traversable thin-shell wormhole in the 4D Einstein-Gauss-Bonnet theory
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Traversable thin-shell wormhole in the 4D Einstein-Gauss-Bonnet theory

Cheng-Youg Zhang Chao Niu; Wei-Liang Qian; Xiaobao Wang; Peng Liu

Chinese journal of physics v.83, p.527-538, 2023

Taiwan Elsevier 2023

Item não circula. Consulte sua biblioteca.(Acessar)

4
Field-scale rice yield prediction from Sentinel-2 monthly image composites using machine learning algorithms
Field-scale rice yield prediction from Sentinel-2 monthly image composites using machine learning algorithms
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Field-scale rice yield prediction from Sentinel-2 monthly image composites using machine learning algorithms

Son, Nguyen-Thanh ; Chen, Chi-Farn ; Cheng, Youg-Sin ; Toscano, Piero ; Chen, Cheng-Ru ; Chen, Shu-Ling ; Tseng, Kuo-Hsin ; Syu, Chien-Hui ; Guo, Horng-Yuh ; Zhang, Yi-Ting

Ecological informatics, 2022-07, Vol.69, p.101618, Article 101618 [Periódico revisado por pares]

Elsevier B.V

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5
Exploiting Sentinel-1 data and machine learning–based random forest for collectively mapping rice fields in Taiwan
Exploiting Sentinel-1 data and machine learning–based random forest for collectively mapping rice fields in Taiwan
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Artigo 		Adicionar ao Meu Espaço

Exploiting Sentinel-1 data and machine learning–based random forest for collectively mapping rice fields in Taiwan

Son, Nguyen-Thanh ; Chen, Chi-Farn ; Chen, Cheng-Ru ; Cheng, Youg-Sin ; Toscano, Piero ; Syu, Chein-Hui ; Guo, Horng-Yuh ; Chen, Shu-Ling ; Liu, Tsang-Sen ; Zhang, Yi-Ting ; Lin, Huan-Sheng ; Chen, Shih-Hsiang ; Valdez, Miguel

Applied geomatics, 2022-06, Vol.14 (2), p.405-419, Article 405 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Combining satellite data and artificial intelligence with a crop growth model to enhance rice yield estimation and crop management practices
Combining satellite data and artificial intelligence with a crop growth model to enhance rice yield estimation and crop management practices
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Combining satellite data and artificial intelligence with a crop growth model to enhance rice yield estimation and crop management practices

Son, Nguyen-Thanh ; Chen, Chi-Farn ; Cheng, Youg-Sin ; Chen, Cheng-Ru ; Syu, Chien-Hui ; Zhang, Yi-Ting ; Chen, Shu-Ling ; Chen, Shih-Hsiang

Applied geomatics, 2024-07 [Periódico revisado por pares]

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Deste Autor:

  1. Qian, W
  2. Zhang, C
  3. Wang, B
  4. Liu, P
  5. Lin, K

Neste Assunto:

  1. Buracos Negros
  2. Rice
  3. Science & Technology
  4. Machine Learning
  5. Ecology

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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