6 citations · 6 across the 6 of their papers we have counts for
7 papers
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models
Georgia Markham, Mehala Balamurali, Andrew J. Hill
Few-shot action recognition (FSAR) aims to learn a model capable of identifying novel actions in videos using only a few examples. In assuming the base dataset seen during meta-tra…
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline
Mehala Balamurali, Ehsan Mihankhah
Accurate and efficient object detection is crucial for safe and efficient operation of earth-moving equipment in mining. Traditional 2D image-based methods face limitations in dyna…
Better Predict the Dynamic of Geometry of In-Pit Stockpiles Using Geospatial Data and Polygon Models
Mehala. Balamurali, Konstantin M. Seiler
Modelling stockpile is a key factor of a project economic and operation in mining, because not all the mined ores are not able to mill for many reasons. Further, the financial valu…
Factors Influencing Autonomously Generated 3D Geophysical Spatial Models
M. Balamurali, A. Melkumyan, J. Zigman
Understanding the contribution of geophysical variables is vital for identifying the ore indicator regions. Both magnetometry and gamma-rays are used to identify the geophysical si…
Inferencing the earth moving equipment-environment interaction in open pit mining
M. Balamurali
In mining, grade control generally focuses on blast hole sampling and the estimation of ore control block models with little or no attention given to how the materials are being ex…
A Bayesian Method for Estimating Uncertainty in Excavated Material
Mehala Balamurali
This paper proposes a method to probabilistically quantify the moments (mean and variance) of excavated material during excavation by aggregating the prior moments of the grade blo…
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…