Landslide susceptibility mapping: Machine and ensemble learning based on remote sensing big data
Predicting landslide occurrences can be difficult. However, failure to do so can be
catastrophic, causing unwanted tragedies such as property damage, community …
catastrophic, causing unwanted tragedies such as property damage, community …
Grade Control with Ensembled Machine Learning: A Comparative Case Study at the Carmen de Andacollo Copper Mine
CZ da Silva, J Nisenson, J Boisvert - Natural Resources Research, 2022 - Springer
The main goal of grade control is the prediction of material destination based on all
available data. The common approach to grade control is based on estimated maps …
available data. The common approach to grade control is based on estimated maps …
Caractérisation de la dynamique de végétation des structures linéaires à l'aide du système de balayage laser aéroporté
N Braham - 2022 - depositum.uqat.ca
Le réseau de structures linéaires est constitué de routes, de sentiers, de pipelines et de
lignes sismiques aménagés dans une grande partie de la forêt boréale commerciale. Ces …
lignes sismiques aménagés dans une grande partie de la forêt boréale commerciale. Ces …
[PDF][PDF] Grade control with Ensembled ML: A comparative case study at the Carmen de Andacollo copper mine
CZ Da Silva, J Nisenson, J Boisvert - 2020 - ccgalberta.com
Ore/Waste delineation is important in mining projects as it is linked to revenue, ore
misclassification impacts profitability. The main goal with grade control is to predict the …
misclassification impacts profitability. The main goal with grade control is to predict the …
New approaches to processing GIS Data using Artificial Neural Networks models
D Mihai - Annals of the University of Craiova-Mathematics and …, 2021 - inf.ucv.ro
Spatial data mining is a special type of data mining. The main difference between data
mining and spatial data mining is that in spatial data mining tasks we use not only non …
mining and spatial data mining is that in spatial data mining tasks we use not only non …
Soil Contamination Level in Cauvery Delta Region Through Machine Learning and GIS Techniques
Abstract The Cauvery River plays an important role and provides significant agricultural
productivity in Tamil Nadu. Agricultural activities are carried out in the delta area due to the …
productivity in Tamil Nadu. Agricultural activities are carried out in the delta area due to the …
[PDF][PDF] Locally weighted support vector regression: a case study
CZ da Silva, J Boisvert - ccgalberta.com
Whenever a new methodology is proposed, is good practice to verify its applicability and
performance relative to state of the art methodologies. This paper aims at demonstrating the …
performance relative to state of the art methodologies. This paper aims at demonstrating the …
[PDF][PDF] Locally weighted support vector regression for spatial predictions
CZ da Silva, J Boisvert - ccgalberta.com
Machine learning algorithms have been increasingly applied to geostatistical framework,
benefitting from the fact that these techniques are capable of capturing complex features …
benefitting from the fact that these techniques are capable of capturing complex features …