The potential of machine learning for a more responsible sourcing of critical raw materials
The digitization and automation of the raw material sector is required to attain the targets set
by the Paris Agreements and support the sustainable development goals defined by the …
by the Paris Agreements and support the sustainable development goals defined by the …
Three-dimensional rockfall shape back analysis: Methods and implications
DA Bonneau, DJ Hutchinson… - … Hazards and Earth …, 2019 - nhess.copernicus.org
Rockfall is a complex natural process that can present risks to the effective operation of
infrastructure in mountainous terrain. Remote sensing tools and techniques are rapidly …
infrastructure in mountainous terrain. Remote sensing tools and techniques are rapidly …
[HTML][HTML] Prediction of rockfall hazard in open pit mines using a regression based machine learning model
IP Senanayake, P Hartmann, A Giacomini… - International Journal of …, 2024 - Elsevier
This study investigates the feasibility of implementing simple Machine Learning models to
make fast and reliable predictions of rockfall energies and run-outs at the base of highwalls …
make fast and reliable predictions of rockfall energies and run-outs at the base of highwalls …
[PDF][PDF] A Super-Voxel Approach for Granular Sediment Analysis: Initial Results
DA Bonneau, DJ Hutchinson - researchgate.net
Granulometry, or the measurement of the size distribution in a collection of grains, has been
a subject of research in a variety of fields. Characterizing the size and shape of grains can …
a subject of research in a variety of fields. Characterizing the size and shape of grains can …