Landslide susceptibility mapping: Machine and ensemble learning based on remote sensing big data

B Kalantar, N Ueda, V Saeidi, K Ahmadi, AA Halin… - Remote Sensing, 2020 - mdpi.com
Predicting landslide occurrences can be difficult. However, failure to do so can be
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 …

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 …

[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 …

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 …

Soil Contamination Level in Cauvery Delta Region Through Machine Learning and GIS Techniques

A Valarmathi, S Nalini, M Kalidhas - Indian Geotechnical Conference, 2021 - Springer
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 …

[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 …

[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 …

[引用][C] A novel approach for approximation based spatial data classification