Neural network and Monte Carlo simulation approach to investigate variability of copper concentration in phytoremediated contaminated soils
type: Dataset
contact point: Organization
  fn: CCSD
keyword: bean-leaves
keyword: infoeu-reposemanticsarticle
keyword: soil-factors-variability
keyword: sduenvisciences-of-the-universe-physicscontinental-interfaces-environment
keyword: artificial-neural-network
keyword: copper
keyword: sdemcgenvironmental-sciencesglobal-changes
keyword: journal-articles
keyword: soil-contamination
keyword: monte-carlo-simulation
landing page: 0301-4797
description: International audience
issued: 2026-05-10T01:57:09.333835
language: en
modified: 2026-05-10T01:57:09.333839

test_moissonnage_selune
type: Agent

Neural network and Monte Carlo simulation approach to investigate variability of copper concentration in phytoremediated contaminated soils
type: Distribution
access URL: https://insu.hal.science/insu-00852439
format: HTML
issued: 2026-05-10T01:57:09.339923
modified: 2026-05-10T01:57:09.321581