Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Machine learning techniques to assess human health impacts from the gold mining tailings

Domaine:

healthcare

Type de record:

paperposter

Machine learning techniques to assess human health impacts from the gold mining tailings 

Poster presented at the Deep Learning Indaba 2023 by Nomsa Thabethe

Visit

lanfrica.com

Tags

posterdeep learning indaba 2023deep learning indabadli

Similaires

Characterisation of Small-Scale Gold Mining Tailings in the Western Region of GhanaImpact of Artisanal Gold Mining on Human Health and the Environment in the Batouri Gold District, East CameroonEnvironmental Geochemistry of Mine Tailings Soils in the Artisanal Gold Mining District of Betare -Oya, CameroonEvaluating the Economic Impacts of the G20 Compact Initiative: Evidence from Causal Inference Using Advanced Machine Learning TechniquesImpacts of artisanal gold mining in River Nile State, SudanPredicting Gold Grades from Magnetic Susceptibility: A Machine Learning Approach

Characterisation of Small-Scale Gold Mining Tailings in the Western Region of Ghana

On average, small-scale miners can recover gold ranging from 20% to 70% of the total available gold

Impact of Artisanal Gold Mining on Human Health and the Environment in the Batouri Gold District, East Cameroon

Abstract There is no Occupational Health and Safety (OHS) system for the mining sector in Cam

Environmental Geochemistry of Mine Tailings Soils in the Artisanal Gold Mining District of Betare -Oya, Cameroon

Changes in trace element concentrations in mine tailings (dry and wet) were investigated in the gold

Evaluating the Economic Impacts of the G20 Compact Initiative: Evidence from Causal Inference Using Advanced Machine Learning Techniques

The G20 Compact with Africa (CwA) initiative, launched in 2017 under the German G20 Presidency, aims

Impacts of artisanal gold mining in River Nile State, Sudan

Predicting Gold Grades from Magnetic Susceptibility: A Machine Learning Approach

Traditional mineral exploration faces escalating costs and limited spatial coverage, creating demand