21 citations · 53 across the 9 of their papers we have counts for
10 papers
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…
A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data
Rami N Khushaba, Arman Melkumyan, Andrew J Hill
Understanding the structure and mineralogical composition of a region is an essential step in mining, both during exploration (before mining) and in the mining process. During expl…
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.…
Hyperspectral CNN Classification with Limited Training Samples
Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan +1
Hyperspectral imaging sensors are becoming increasingly popular in robotics applications such as agriculture and mining, and allow per-pixel thematic classification of materials in…
Information fusion in multi-task Gaussian processes
Shrihari Vasudevan, Arman Melkumyan, Steven Scheding
This paper evaluates heterogeneous information fusion using multi-task Gaussian processes in the context of geological resource modeling. Specifically, it empirically demonstrates…
Twelve pure shear surface waves guided by bimaterial clamped/free boundaries in magneto-electro-elastic materials
Arman Melkumyan
It is shown that surface waves with twelve different velocities in the cases of different magneto-electrical boundary conditions can be guided by the interface of two magneto-elect…