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Predicting the hydrological response of a forest after wildfire and soil treatments using an Artificial Neural Network.

Demetrio Antonio ZemaManuel Esteban Lucas-BorjaLidia FotiaDomenico RosaciGiuseppe M. L. SarnèSanto Marcello Zimbone
Published in: Comput. Electron. Agric. (2020)
Keyphrases
  • smoke detection
  • database
  • information systems
  • neural network
  • artificial intelligence
  • social networks
  • high level
  • action recognition
  • spatial distribution