New Designed Grinding Equipment Performance Prediction Using a Machine Learning Model
Dr Eiman Amini, Edwin Koh
Use of machine learning to predict causal factors impacting productivity in autonomous haulage systems.
Mr Matt Webster
Application of Machine Learning and Deep Learning in Resource Estimation
Nurassyl Battalgazy
Application of a dynamic stockpile model incorporating size segregation to control the feed to SAG mills
Ziming Ye
A data-driven approach to lithology classification in Australian coal measures using geophysical logs
Zexin Yu
Natural Language Processing for Safety Reports Analysis: A Case Study
Dr Nikodem Rybak
Responding to the ESG revolution by harnessing our uniquely human capability and Artificial Intelligence throughDiiMOS: A distributed, intelligent, integrated Mining Operating System.
Sarah Coleman
Convolutional Neural Network for arrival time picking in microseismic monitoring
Yi Duan
Degradation modelling in mining and mineral processing equipment: a comparison of two statistical approaches
Gabriel Gonzalez
Digital Transformation Initiatives for Improving Productivity in Indian Mining Industry- A Case Study at NMDC Ltd.
Pradeep Kumar
A Novel Approach to Alarm Causality Mining For Coal Mine Rockburst Alarming Using Active Transfer Entropy
Dr Yi Luo
Spatial modelling using geographic quantile regression forest in multi-domain deposits
Kane Maxwell
Industrial Digital Twin: Using constraints theory to unlock Cadia Valley Operations’ full potential
Wesley Craig, Gemma McGoldrick
Applying Digital Solution and Maintenance 4.0 To Increase Efficiency and Total Cost of Ownership Reduction
Ray Marques
Artificial intelligence for prediction of roof caving sequence in bord and pillar workings of underground coal mines in jharkhnad
Ram Bilash Prajapati
Application of Explainable Artificial Intelligence “Gradient-weighted Class Activation Mapping” in a One-Dimensional Convolutional Neural Network Drill Bit Failure Detection System Used in Rotary Percussion Drilling
Lesego Senjoba
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