New Designed Grinding Equipment Performance Prediction Using a Machine Learning Model
Dr Eiman Amini, Edwin Koh
Digital Poster Presentations
5:30pm to 7:00pm
Application of Machine Learning and Deep Learning in Resource Estimation
Nurassyl Battalgazy
Digital Poster Presentations
5:30pm to 7:00pm
Application of Machine Learning algorithms for rapid orebody modelling on Uranium ISL projects: Case study
Talgatbek Bazarbekov
Digital Poster Presentations
5:30pm to 7:00pm
Responding to the ESG revolution by harnessing our uniquely human capability and Artificial Intelligence throughDiiMOS: A distributed, intelligent, integrated Mining Operating System.
Sarah Coleman
Digital Poster Presentations
5:30pm to 7:00pm
Convolutional Neural Network for arrival time picking in microseismic monitoring
Yi Duan
Digital Poster Presentations
5:30pm to 7:00pm
Degradation modelling in mining and mineral processing equipment: a comparison of two statistical approaches
Gabriel Gonzalez
Digital Poster Presentations
5:30pm to 7:00pm
Digital Transformation Initiatives for Improving Productivity in Indian Mining Industry- A Case Study at NMDC Ltd.
Pradeep Kumar
Digital Poster Presentations
5:30pm to 7:00pm
A Novel Approach to Alarm Causality Mining For Coal Mine Rockburst Alarming Using Active Transfer Entropy
Dr Yi Luo
Digital Poster Presentations
5:30pm to 7:00pm
Spatial modelling using geographic quantile regression forest in multi-domain deposits
Kane Maxwell
Digital Poster Presentations
5:30pm to 7:00pm
Industrial Digital Twin: Using constraints theory to unlock Cadia Valley Operations’ full potential
Wesley Craig, Gemma McGoldrick
Digital Poster Presentations
5:30pm to 7:00pm
Applying Digital Solution and Maintenance 4.0 To Increase Efficiency and Total Cost of Ownership Reduction
Ray Marques
Digital Poster Presentations
5:30pm to 7:00pm
Artificial intelligence for prediction of roof caving sequence in bord and pillar workings of underground coal mines in jharkhnad
Ram Bilash Prajapati
Digital Poster Presentations
5:30pm to 7:00pm
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
Digital Poster Presentations
5:30pm to 7:00pm
Application of Machine Learning Technique for Estimating the Most Suitable Mineral Resource Method; Challenges and Opportunities
Judges Comments