All Stories

  1. Modeling the Effects of Particle Shape on Damping Ratio of Dry Sand by Simple Shear Testing and Artificial Intelligence
  2. Experimental-AI Investigation of the Effect of Particle Shape on the Damping Ratio of Dry Sand under Simple Shear Test Loading
  3. Towards an integrated UAV-AI-MR technology for mine rehabilitation surveillance
  4. Investigation of the Relationship Between Texture Coefficient and Electrical Current Consumption of the Cutting Machine with Different Lubricants and Cooling Fluids
  5. A data-driven field-scale approach to estimate the permeability of fractured rocks
  6. Progressive Damage Evolution in Rocks Subjected to Post-peak Cyclic Loading History
  7. Fatigue Failure Characteristics of Sandstone Under Different Confining Pressures
  8. Failure Behaviour of a Sandstone Subjected to the Systematic Cyclic Loading: Insights from the Double-Criteria Damage-Controlled Test Method
  9. Post-peak behaviour of rocks under cyclic loading using a double-criteria damage-controlled test method
  10. Rockburst assessment in deep geotechnical conditions using true-triaxial tests and data-driven approaches
  11. A new conventional criterion for the performance evaluation of gang saw machines
  12. Application of self-organizing map and fuzzy c-mean techniques for rockburst clustering in deep underground projects
  13. Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques
  14. Development of GP and GEP models to estimate an environmental issue induced by blasting operation
  15. Roadheader performance prediction using genetic programming (GP) and gene expression programming (GEP) techniques
  16. Performance prediction of tunnel boring machine through developing a gene expression programming equation
  17. An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals
  18. Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms
  19. Semi-autogenous mill power model development using gene expression programming
  20. Development of a precise model for prediction of blast-induced flyrock using regression tree technique
  21. TBM performance estimation using a classification and regression tree (CART) technique
  22. Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming
  23. Genetic programming and gene expression programming for flyrock assessment due to mine blasting
  24. Forecasting blast-induced ground vibration developing a CART model
  25. Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm
  26. An optimized ANN model based on genetic algorithm for predicting ripping production
  27. Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting
  28. Classification and regression tree technique in estimating peak particle velocity caused by blasting
  29. Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models
  30. Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
  31. A new model based on gene expression programming to estimate air flow in a single rock joint
  32. Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction
  33. Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques
  34. Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique
  35. Rock strength assessment based on regression tree technique
  36. Prediction of blast-induced air overpressure: a hybrid AI-based predictive model
  37. Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting
  38. Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation