Track 1: AI and Data-Driven Decision Making

AI in Mineral Exploration and Geoscience 3
AI in Mineral Exploration: Separating Hype from Reality 4
AI-Enabled Mineral Exploration: Toward Faster, Cheaper, and Smarter Discovery 9
Identification Of Targets In A Silver Vein District Using Machine Learning 18
Identification And Measurement Of Minerals On Thin Sections Images Of Intrusive Igneous Rocks Using Deep Learning 24
Application Of The Mineral Systems And Artificial Intelligence Approach To The Prospectivity Of Porphyry-Skarn Deposits In The Andahuaylas-Yauri Batholith 37
Asset Management Platform Implemented For Geotechnical Risk Management - A Mining Operation Case Study 48
Beyond The Initial Design: Asset Integrity Management For Mining Infrastructure Resilience 62
Adaptive Mineral Blending And Routing Under Uncertainty Using Reinforcement Learning 72
Augmented Operation: A Natively Integrated Ecosystem For Proactive Collision Prevention And Autonomous Intervention In Deep Mining 86
Data-Driven Decision Making And Value Chain Optimization In Underground Mining: A Deswik Mdm Case Study At Nexa Resources Aripuanã 96
Automated Geophysical Pattern Recognition For Mineral Exploration: Case Study Of Carajás, Brazil Using Iocg Deposits 109
Geolithai As An Ai-Assisted Workflow For Lithological Recognition And Grade Control Optimization In An Underground Peruvian Mine 121
Prediction of Porphyry-Type Deposit Occurrence in Yukon (Canada) Using Convolutional Variational Autoencoders (VAE-CNN) 129
An Integrated Machine Learning (ML) Workflow in R for Predictive Mineral Exploration 142
Smart Target Detection in Mineral Exploration: Harnessing AI Under Uncertainty 155
High-Confidence and Efficient Drill Programs for Expansion and Brownfields Exploration Using Assay Data and Lithological Logging Using Machine Learning; Data Evaluation Techniques, Practical Input Data Construction, and Metrics for Precision Targeting 163
AI for Leachate Data Processing and Barrel Test Geochemistry 180
GEA AI: Unlocking Hidden Value in Complex Silver Deposits Through a Hybrid Geostatistical Machine Learning Framework Powered by Rust 191
Operational Elasticity Assessment Between Mechanical Availability and Utilization of Long Hole Drilling Jumbos in an Underground Mine 198
Effects of Ordering on Spatial Allocation Under Uncertainty: A Data-Driven Experiment Based on Hierarchical Sequential Indicator Simulation 209
Digitalization, Automation and Use of Emerging Technologies 221
Automation, Data and AI in Operations 236
A Robotic Testbed for Autonomous Dump Pocket Cleaning Using Imitation Learning 237
Implementation of Fleet Management System to Increase Productivity and Reduce Energy Consumption in Gold Mining Operations: Comparative Study of Contractor Operations 247
From RPA to Agentic AI: A Neuro-Symbolic Architecture for Natural Language Control of Legacy Mining Software 260
Analysis and Optimization of Truck Fuel Consumption in Open-Pit Based on Multi-Source Data Fusion 267
Connecting Lane's Theory With Reinforcement Learning: The First AI Agent for Optimal Non-Renewable Resource Extraction 274
Development and evaluation of autonomous solar water decontamination solutions for remote areas 286
Digital Twins and Connected Operations 297
Unlocking Capital Efficiency Through Systems Thinking, Digital Twins and AI 298
Smart Filtration for Smart Mines: Real-Time Filter Cloth Failure Detection With FLS IntelliPlate Mining Congress 2026 305
Smart Glass-Based Next-Generation Mining Visualization System Assisted by RTK GNSS for Real-Time Ore Grade control in Open Pit Mining 317
REM - Remote Equipment Monitoring, Digital Asset Management Solutions for Interconnected Mining 331
Experimental Evaluation of Acrylamide-Based, Acrylate-Based, and Colloidal Silica Resins as High-Penetrability Alternatives for Seepage Control in Tailings Dams 345
Digital Twin Design Framework for Advanced Tailings Management in Mining Operations 358
AI-Enabled Safety and Risk Management 366
Adaptive Context-Aware Multi-Expert System for a Mine Safety Digital Twin Based on Collision Alert Severity Analysis 367
AI-Driven Detection of Low Slope Movements: A Transdisciplinary Approach to Safety in Open Pit Mining 380
Multi-Source Machine Learning of Tailings Dam Deformation Dynamics: Sentinel-1 MT-DInSAR, Meteorological Forcing, and LightGBM Short-Horizon Forecasts 391
An AI-Driven System Integrating Hyperspectral Data for Lithological Classification and RQD Assessment 405
Artificial Neural Networks for Landslide Susceptibility Mapping: Scalable Applications From Peru to Mining Operations 418
Processing and Operational Intelligence 432
AI Enabled Operator Assistant to Enhance Copper Throughput and Reduce Energy Consumption in Solvent Extraction and Electrowinning 433
Digital Twin of a SAG Mill: Multihorizon Forecasting (5-30 Minutes) With Quantified Uncertainty (10th-90th Percentile Bands) 448
Predictive Machine Learning Model for Strategic Heap Leach Pad Planning in Open Pit Mines 460
LSTM-Reinforcement Learning Hybrid Approach for P80 Forecasting and Control in Grinding Circuits 465
Intrinsic Characterization of SAG Mill Feed Ore Through Deep Clustering Based on Convolutional Variational Autoencoder (CVAE) and Gaussian Mixture Model (GMM) 477
Driving Operational Excellence Through Digital Transformation and AI-Driven Decision Making 490
Digital Foundations for Productivity in Underground Mining: The Operating System of Intelligence for Connectivity, Fuel, Maintenance and Production Analytics 492
Time to Mine: Accelerating Responsible Mineral Development Through Improved Data Governance and Mining Intelligence 501
Strategic Framework for Leveraging Data to Improve EPC Projects Execution 516
Experimental Design for Continuous Improvement and Optimisation 529
A Joint Approach to the Implementation of Fleet Management Systems With Stochastic Short Term Production Scheduling in Open Pit Mines 542

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