AIMC Topic: Mining
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Leveraging machine learning for monitoring afforestation in mining areas: evaluating Tata Steel's restoration efforts in Noamundi, India.
Environmental monitoring and assessment
Jun 27, 2025
Mining activities have long been associated with significant environmental impacts, including deforestation, habitat degradation, and biodiversity loss, necessitating targeted strategies like afforestation to mitigate ecological damage. Tata Steel's ...
Deforestation driven by illegal and informal gold mining in the southern Peruvian Amazon: a predictive land use analysis over the next 50 years.
Environmental monitoring and assessment
Jun 23, 2025
The Amazon is recognized not only for its vast biodiversity and territorial extent but also for the significant mineral riches it harbors. This potential has intensified small-scale illegal and informal gold mining, a practice often employed without ...
Uncovering rare earth and precious metal in landfill-mined soil-like-fractions: distribution prediction, ecological risk and resource potential.
Environmental pollution (Barking, Essex : 1987)
May 5, 2025
The introduction of rare earth elements (REEs) and precious metals (PMs) containing wastes in aged landfills leads to a significant pollutant and resource potential. Against this backdrop, the accumulation of REEs and PMs in soil-like-fractions (SLF)...
Advanced deep learning models for predicting elemental concentrations in iron ore mine using XRF data: a cost-effective alternative to ICP-MS methods.
Environmental geochemistry and health
Mar 5, 2025
Accurate elemental analysis is a critical requirement for mineral exploration, particularly in regions like Iran, where the mining sector has experienced a substantial increase in exploration activities over the past decade. Inductively Coupled Plasm...
A new approach to dilution prediction of underground mine gold using computing techniques.
Anais da Academia Brasileira de Ciencias
Mar 3, 2025
Controlling ore dilution in underground mining is challenging. In this study, data from a Brazilian gold mine were analyzed, covering 70 chambers and 26 variables. Six key variables were identified through decision tree analysis, forming the basis of...
Web application using machine learning to predict cardiovascular disease and hypertension in mine workers.
Scientific reports
Dec 30, 2024
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 201...
Machine learning and regression in the management of runoff in bauxite mines under rehabilitation.
Environmental science and pollution research international
Dec 2, 2024
Accurate and reliable forecasting of monthly runoff considering several years of rehabilitation helps in planning and managing the water resources system of bauxite mining areas. A combination of linear regression models and artificial intelligence w...
Mining soil heavy metal inversion based on Levy Flight Cauchy Gaussian perturbation sparrow search algorithm support vector regression (LSSA-SVR).
Ecotoxicology and environmental safety
Nov 8, 2024
Soil heavy metal pollution in mining areas poses severe challenges to the ecological environment. In recent years, machine learning has been widely used in heavy metal inversion by hyperspectral data. However, deterministic algorithms and probabilist...
Prediction for the recycle of phosphate tailings in enhanced gravity field based on machine learning and interpretable analysis.
Waste management (New York, N.Y.)
Sep 20, 2024
Recleaning phosphate tailings using the low-cost enhanced gravity separation method is beneficial for maximizing the recovery of phosphorus element. A machine learning framework was constructed to predict the target variables of the yield, grade, and...
Deciphering geochemical fingerprints and health implications of groundwater fluoride contamination in mica mining regions using machine learning tactics.
Environmental geochemistry and health
Aug 27, 2024
The contribution of mica mining activities to fluoride (F) contamination in groundwater has been chased in this study. For the purpose, groundwater samples (n = 40, replicated thrice) were collected during the post-monsoons (September-October) from a...
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