activity
20202026
most citedAutomation and AI Technology in Surface Mining With a Brief Introduction to Open-Pit Operations in the Pilbara

23 citations · 76 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CE2026

Effective information gathering for ore estimation, evaluation and perspectives on adaptive sampling

Raymond Leung, Arman Melkumyan

A computational/analytics framework for assessing the value of drill-hole information in ore grade estimation is described using Gaussian Process and statistics. A distinguishing f…

stat.ME2025

IntegralGP: Volumetric estimation of subterranean geochemical properties in mineral deposits by fusing assay data with different spatial supports

Anna Chlingaryan, Arman Melkumyan, Raymond Leung

This article presents an Integral Gaussian Process (IntegralGP) framework for volumetric estimation of subterranean properties in mineral deposits. It provides a unified representa…

cs.CV2023★ 21 cited

Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data

Lloyd Windrim, Arman Melkumyan, Richard J. Murphy +2

The remote mapping of minerals and discrimination of ore and waste on surfaces are important tasks for geological applications such as those in mining. Such tasks have become possi…

cs.CY2023★ 23 cited

Automation and AI Technology in Surface Mining With a Brief Introduction to Open-Pit Operations in the Pilbara

Raymond Leung, Andrew J Hill, Arman Melkumyan

This survey article provides a synopsis on some of the engineering problems, technological innovations, robotic development and automation efforts encountered in the mining industr…

cs.LG2021★ 3 cited

Empirical observations on the effects of data transformation in machine learning classification of geological domains

Raymond Leung

In the literature, a large body of work advocates the use of log-ratio transformation for multivariate statistical analysis of compositional data. In contrast, few studies have loo…

physics.geo-ph2021★ 6 cited

Surface Warping Incorporating Machine Learning Assisted Domain Likelihood Estimation: A New Paradigm in Mine Geology Modelling and Automation

Raymond Leung, Mehala Balamurali, Alexander Lowe

This paper illustrates an application of machine learning (ML) within a complex system that performs grade estimation. In surface mining, assay measurements taken from production d…

cs.CE2020★ 7 cited

Subsurface Boundary Geometry Modeling: Applying Computational Physics, Computer Vision and Signal Processing Techniques to Geoscience

Raymond Leung

This paper describes an interdisciplinary approach to geometry modeling of geospatial boundaries. The objective is to extract surfaces from irregular spatial patterns using differe…

cs.CE2020★ 13 cited

Bayesian Surface Warping Approach For Rectifying Geological Boundaries Using Displacement Likelihood And Evidence From Geochemical Assays

Raymond Leung, Alexander Lowe, Anna Chlingaryan +2

This paper presents a Bayesian framework for manipulating mesh surfaces with the aim of improving the positional integrity of the geological boundaries that they seek to represent.…

cs.CE2020★ 3 cited

Modelling Orebody Structures: Block Merging Algorithms and Block Model Spatial Restructuring Strategies Given Mesh Surfaces of Geological Boundaries

Raymond Leung

This paper describes a framework for capturing geological structures in a 3D block model and improving its spatial fidelity given new mesh surfaces. Using surfaces that represent g…