Mehala Balamurali

According to our database, Mehala Balamurali authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models.

Georgia Markham, Mehala Balamurali, Andrew J. Hill

CoRR, 2024

2023

Better Predict the Dynamic of Geometry of In-Pit Stockpiles Using Geospatial Data and Polygon Models.

Mehala Balamurali, Konstantin M. Seiler

CoRR, 2023

Factors Influencing Autonomously Generated 3D Geophysical Spatial Models.

Mehala Balamurali, Arman Melkumyan, John N. Zigman

CoRR, 2023

SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline.

Mehala Balamurali, Ehsan Mihankhah

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

A Framework to Address the Challenges of Surface Mining through Appropriate Sensing and Perception.

Mehala Balamurali, Andrew John Hill, Javier Martinez, Rami N. Khushaba, Liyang Liu, Najmeh Kamyabpour, Ehsan Mihankhah

Proceedings of the 17th International Conference on Control, 2022

Load-Haul Cycle Segmentation with Hidden Semi-Markov Models.

Georgia Markham, Konstantin M. Seiler, Mehala Balamurali, Andrew J. Hill

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Inference of Geological Material Groups Using Structural Monitoring Sensors on Excavators.

Liyang Liu, Mehala Balamurali, Katherine L. Silversides, Rami N. Khushaba

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Transfer Learning and Data Augmentation in the Diagnosis of Knee MRI.

John Haddadian, Mehala Balamurali

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021

A Bayesian Method for Estimating Uncertainty in Excavated Material.

Mehala Balamurali

CoRR, 2021

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

Raymond Leung, Mehala Balamurali, Alexander Lowe

CoRR, 2021

2019

A comparison of t-SNE, SOM and SPADE for identifying material type domains in geological data.

Mehala Balamurali, Katherine L. Silversides, Arman Melkumyan

Comput. Geosci., 2019

2016

t-SNE Based Visualisation and Clustering of Geological Domain.

Mehala Balamurali, Arman Melkumyan

Proceedings of the Neural Information Processing - 23rd International Conference, 2016