Insights into fish-anthropogenic pressures relationships using machine learning techniques: the case of Castilla-La Mancha (Spain)

  1. Valerio, C.
  2. Nicola, G.G.
  3. Noriega, R.A.B.
  4. Garrido, A.
  5. De Stefano, L.
Actes de conférence:
Proceedings of the IAHR World Congress

ISSN: 2521-716X 2521-7119

Année de publication: 2022

Proceedings of the IAHR World Congress

Pages: 4803-4811

Type: Communication dans un congrès

DOI: 10.3850/IAHR-39WC2521716X2022127 GOOGLE SCHOLAR