All Stories

  1. Editorial for the Special Issue “Mine Automation and New Technologies”
  2. State-Of-The-Art Path Optimisation for Automated Open-Pit Mining Drill Rigs: A Deterministic Approach
  3. Toward Sustainable Mining: Exploring Alternative Mineral Resources and Innovative Extraction Techniques
  4. Deep Learning for Predicting Surface Elevation Change in Tailings Storage Facilities from UAV-Derived DEMs
  5. Data-Driven Approach for Intelligent Classification of Tunnel Surrounding Rock Using Integrated Fractal and Machine Learning Methods
  6. Advanced AI-Powered Solutions for Predicting Blast-Induced Flyrock, Backbreak, and Rock Fragmentation
  7. Intelligent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack Stress Thresholds
  8. Mine Closure Surveillance and Feasibility of UAV–AI–MR Technology: A Review Study
  9. Hybridized intelligent multi-class classifiers for rockburst risk assessment in deep underground mines
  10. Internal Friction Angle of Cohesionless Binary Mixture Sand–Granular Rubber Using Experimental Study and Machine Learning
  11. Modeling the Effects of Particle Shape on Damping Ratio of Dry Sand by Simple Shear Testing and Artificial Intelligence
  12. Experimental-AI Investigation of the Effect of Particle Shape on the Damping Ratio of Dry Sand under Simple Shear Test Loading
  13. Towards an integrated UAV-AI-MR technology for mine rehabilitation surveillance
  14. Investigation of the Relationship Between Texture Coefficient and Electrical Current Consumption of the Cutting Machine with Different Lubricants and Cooling Fluids
  15. A data-driven field-scale approach to estimate the permeability of fractured rocks
  16. Progressive Damage Evolution in Rocks Subjected to Post-peak Cyclic Loading History
  17. Fatigue Failure Characteristics of Sandstone Under Different Confining Pressures
  18. Failure Behaviour of a Sandstone Subjected to the Systematic Cyclic Loading: Insights from the Double-Criteria Damage-Controlled Test Method
  19. Post-peak behaviour of rocks under cyclic loading using a double-criteria damage-controlled test method
  20. Rockburst assessment in deep geotechnical conditions using true-triaxial tests and data-driven approaches
  21. A new conventional criterion for the performance evaluation of gang saw machines
  22. Application of self-organizing map and fuzzy c-mean techniques for rockburst clustering in deep underground projects
  23. Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques
  24. Development of GP and GEP models to estimate an environmental issue induced by blasting operation
  25. Roadheader performance prediction using genetic programming (GP) and gene expression programming (GEP) techniques
  26. Performance prediction of tunnel boring machine through developing a gene expression programming equation
  27. An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals
  28. Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms
  29. Semi-autogenous mill power model development using gene expression programming
  30. Development of a precise model for prediction of blast-induced flyrock using regression tree technique
  31. TBM performance estimation using a classification and regression tree (CART) technique
  32. Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming
  33. Genetic programming and gene expression programming for flyrock assessment due to mine blasting
  34. Forecasting blast-induced ground vibration developing a CART model
  35. Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm
  36. An optimized ANN model based on genetic algorithm for predicting ripping production
  37. Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting
  38. Classification and regression tree technique in estimating peak particle velocity caused by blasting
  39. Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models
  40. Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
  41. A new model based on gene expression programming to estimate air flow in a single rock joint
  42. Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction
  43. Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques
  44. Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique
  45. Rock strength assessment based on regression tree technique
  46. Prediction of blast-induced air overpressure: a hybrid AI-based predictive model
  47. Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting
  48. Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation