Papers in collection

• Advances in vibration monitoring of mining equipment with deep machine learning methods Go to Paper
• Comparative analysis of underground geological mapping - traditional methods versus LiDAR scanning with Apple devices and survey-grade laser scanners Go to Paper
• Discrete events simulation approach to investigating the impact of electrifying haul trucks - a case study Go to Paper
• Enhancing pit optimisation with direct block scheduling (DBS) and the Bienenstock Zuckerberg (BZ) algorithm - maximising NPV and efficiency Go to Paper
• From static models to dynamic solutions - the future of resource modelling Go to Paper
• Improving underground mobile mechanised mining productivity with safety in mind Go to Paper
• Breaking down silos - enhancing mining operations through Agile collaboration and data-driven decision-making Go to Paper
• Fuel efficiency optimisation of HD785-7 trucks at open pit coalmine - an adaptive, clustering-based approach Go to Paper
• Deep learning for predicting hauling fleet production capacity under uncertainties in open pit mines using real and simulated data Go to Paper
• Advanced PGNAA Analysers - leveraging machine learning for improved precision in iron making Go to Paper
• Transforming mining optimisation - from hours to minutes with massively parallel serverless processing Go to Paper
• Optimising truck fleet selection and sizing in open pit mining using simulation - analysing sustainability impacts of fleet configuration and truck failures Go to Paper
• Monitoring-based optimisation of horizontal transport in underground mines using machine learning and data integration from NGIMU sensors Go to Paper
• A review of artificial intelligence applications in monitoring slope stability for open pit mines Go to Paper
• Ground vibration prediction using a machine learning approach Go to Paper
• Using digital twin for production scheduling problems - functions used in mining operations Go to Paper
• A novel way to view mining operations Go to Paper
• Accelerating fleet electrification in mining to meet ESG targets - a simulation and operational analysis approach Go to Paper
• Triggering a PLC change using a cloud-based machine learning model Go to Paper
• Real-time detection of perimeter breaches using high-precision GPS for enhanced safety in high-risk dumping zones in open pit mining Go to Paper
• Enhancing mining operations with digital twin technology through an integrated multi-brand software approach Go to Paper
• Automated classification of blast-induced rock fragmentation in underground sublevel caving mine Go to Paper
• Applying artificial intelligence and the cloud to optimise blast designs Go to Paper
• Beyond grade - evolution of automation to provide timely information from blastholes in open cut operations Go to Paper
• A robust approach for digital mapping of rock masses with a stereo camera Go to Paper
• Real-time monitoring and machine tracking in large-scale underground mines using safety systems and machine learning techniques Go to Paper
• Optimisation of mining machinery maintenance in modern mining enterprises through text mining and machine learning techniques Go to Paper
• Fuel consumption reduction in HD785-7 dump trucks at an open cut coal mining site - a data-driven approach Go to Paper
• Safety berm design - moving beyond rules of thumb Go to Paper
• LLM-Nav agent - adaptive ground robot navigation using large language model-based Al agents Go to Paper
• Operator behaviour learning to optimise HD785 productivity by adopting modified game theory algorithm Go to Paper
• Multiphysics modelling of in-place recovery of copper at stope-scale Go to Paper
• Structurally controlled slope stability study using genetic algorithm Go to Paper
• Study on the influence of surfactants on the wettability of coal dust based on molecular dynamics simulation Go to Paper
• Optimising drill hole spacing using conditional simulation at the Invincible Gold Mine, Australia Go to Paper
• Advanced multivariable geological modelling - case study of orogenic Au deposit with multi-generational quartz veins Go to Paper
• Resource estimation of roll front uranium deposits by using traditional and machine learning methods for Nichols Ranch uranium deposit in Wyoming, USA Go to Paper
• Adaptive search ellipsoid - a new practical algorithm for local anisotropies in mineral resource estimation Go to Paper
• Geometallurgical clusters creation in a niobium deposit using Dsclus and hierarchical indicator kriging with trend Go to Paper
• Al-driven spatial data augmentation for geological modelling and resource estimation Go to Paper
• Leveraging machine learning for fast and reliable faulted 3D modelling Go to Paper
• Enhanced resource domain classification for mineral estimation using geostatistical clustering Go to Paper
• Dynamic structural modelling for near real time inputs for geotechnical risk management and optimisation Go to Paper
• Resource estimation in domains with soft boundaries Go to Paper
• Circular economy in iron ore mining - least squares approach to kaolinite estimation of argillaceous waste material Go to Paper
• Models with locally variable spatial continuity using covariance tables Go to Paper
• Application of fault tree analysis in mining - a review of strategies and advances for risk assessment Go to Paper
• MAFMINE 3.1 - integrating cost estimation and ESG constraints for enhanced preliminary economic assessment in mining Go to Paper
• Application of causal machine learning in mitigating ore dilution for maximum return in mining Go to Paper
• Controlling ore dilution in mining using causality to establish variable relationship Go to Paper
• Analysis of alternatives to the use of diesel fuel in mining trucks Go to Paper
• Strategic planning and sequencing optimisation for fully mobile in-pit crushing and conveying (FMIPCC) systems - a novel approach Go to Paper
• Reconfiguring the techno-economic-environmental landscape for low- grade ore extraction - a strategic analysis of stope leaching systems Go to Paper
• A systematic review of cut-off grade optimisation approaches - application benefits and challenges Go to Paper
• Haulage simulation of open pit mines with ore and waste IPCC Go to Paper
• Mining project risk analysis of the impact of schedule types of open pit mining on mine value Go to Paper
• Comparison of stochastic versus deterministic open pit mine production schedule optimisation using mixed integer linear programming with conditional orebody simulations Go to Paper
• Optimising in-pit crushing and conveying systems for cost-effective open pit mine scheduling - a sensitivity analysis on material throughput and haulage costs Go to Paper
• Representative measurement using high performance PGNAA to digitalise process feed quality Go to Paper
• A comparison of methods for determining weights of criteria in multi- criteria decision-making problems in mine planning Go to Paper
• Integrating operational design and data analytics to maximise shovel performance in an open cut coalmine Go to Paper
• Semi-automated fracture characterisation to optimise dimension stone mining Go to Paper
• Optimisation of cut-off grade in open pit mines considering spatial and temporal dimensions - a case study Go to Paper
• Mineral processing plant capacity based on geometallurgical block model scheduling Go to Paper
• Multi-criteria selection of a travelling way development method at a case study conventional underground platinum mine Go to Paper
• Towards a system for integrating open pit mine production scheduling stages Go to Paper
• Operational design of ramps in open pit mines considering switchbacks through the assistance of mathematical optimisation - a case study Go to Paper
• Short-term grade uncertainty and its impact on operational dig-limit definitions Go to Paper
• AMC's Hill of Value® - modelling sequential decisions to transfer strategy optimisation into an operational mine plan Go to Paper
• Analysing the haul road design from the simulation perspective - theoretical and real improvements Go to Paper
• A mathematical model for production scheduling from uncertain resources to run-of-mine stockpiles and processing plant in the sub-level caving method Go to Paper
• Advancing long-term open pit mine planning with quantum computing - concepts, reformulations and implementation Go to Paper
• Mine operations management - the path to digital connected mining operations Go to Paper
• Dynamic on-bench loading location optimisation of explosive trucks for short-term mine planning Go to Paper
• A robust scheduling framework for short-term planning of underground mining operations using constraint programming - a Canadian case study Go to Paper
• Geotechnology applied to quality control in bauxite mining in Brazil Go to Paper
• Development of a simulation-integrated mine road quality index (MRQI) for efficient dispatching operations in surface mines Go to Paper
• Towards responsible mining - ESG-integrated multi-objective optimisation in sublevel stoping production scheduling Go to Paper
• Fleet management system in PT Indo Muro Kencana Go to Paper
• Spatial data management system applied to the stability of underground excavations Go to Paper
• Remote monitoring of slurry pumps in mining and mineral processing - enhancing reliability and performance through digitalisation Go to Paper
• Incorporating materials supply in strategic mine planning Go to Paper
• Separation of fine-grained rutile and zircon by flotation - a study of sensitive flotation chemistry with considerations for operational circuits Go to Paper
• Digital twins for stockyard reclamation optimisation Go to Paper
• Modelling blasting vibration in sustainable mine planning using machine learning techniques - a case study Go to Paper
• Reducing a quarry's greenhouse gas emissions through air deck implementation Go to Paper
• The effect of social license on the exploitation of mines using machine learning algorithm Go to Paper
• Haul truck intelligence system for effective decarbonisation Go to Paper