A restricted Boltzmann machine can be trained to encode and reconstruct training samples
from a training sample population with an unknown complex probability distribution. Small …

Major developments are now taking place in the integration of remote sensing data with GIS.
Techniques such as the use of knowledge based systems and artificial neural networks …

The objective of this paper is to exploit potential application of an evidential belief function
(EBF) model for spatial prediction of groundwater productivity at Langat basin area …

Geochemical Anomaly and Mineral Prospectivity Mapping in GIS documents and explains,
in three parts, geochemical anomaly and mineral prospectivity mapping by using a …

Mineral exploration targeting is a highly complex decision-making task. Two key risk factors,
the quality of exploration data and robustness of the underlying conceptual targeting model …

The objective of this paper is to exploit the potential application of an evidential belief
function model to landslide susceptibility mapping at Kuala Lumpur city and surrounding …

The rapid increase in human population has increased the groundwater resources demand
for drinking, agricultural and industrial purposes. The main purpose of this study is to …

Deep learning algorithms (DLAs) are becoming popular tools for mineral prospectivity
mapping. However, purely data-driven DLAs frequently ignore expert and domain …

In this paper on mineral prospectivity mapping, a supervised classification method called
Support Vector Machine (SVM) is used to explore porphyry-Cu deposits. Different data …

The landslide is a downward movement of soil and rock, and one of the most destructive geo-
hazards that causes losses in lives, environment, and economy all over the world. Landslide …