40 results on '"Shirani Faradonbeh, Roohollah"'
Search Results
2. Assessing the shear strength of sandy soil reinforced with polyethylene-terephthalate: an AI-based approach
3. Intelligent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack Stress Thresholds
4. Hybridized intelligent multi-class classifiers for rockburst risk assessment in deep underground mines
5. Contributors
6. Ultrasonic Characterization of Compacted Salty Kaolin–Sand Mixtures Under Nearly Zero Vertical Stress Using Experimental Study and Machine Learning
7. Novel multifractal-based classification model for the quality grades of surrounding rock within tunnels
8. Predicting ultimate condition and transition point on axial stress–strain curve of FRP-confined concrete using a meta-heuristic algorithm
9. Fatigue Failure Characteristics of Sandstone Under Different Confining Pressures
10. The propensity of the over-stressed rock masses to different failure mechanisms based on a hybrid probabilistic approach
11. Failure Behaviour of a Sandstone Subjected to the Systematic Cyclic Loading: Insights from the Double-Criteria Damage-Controlled Test Method
12. Mine Closure Surveillance and Feasibility of UAV–AI–MR Technology: A Review Study
13. Post-peak behaviour of rocks under cyclic loading using a double-criteria damage-controlled test method
14. Hybridized intelligent multi-class classifiers for rockburst risk assessment in deep underground mines
15. Application of self-organizing map and fuzzy c-mean techniques for rockburst clustering in deep underground projects
16. AI grey box model for alum sludge as a soil stabilizer: an accurate predictive tool
17. Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques
18. Chapter 12 - Application of artificial intelligence in distinguishing genuine microseismic events from the noise signals in underground mines
19. Modeling the Effects of Particle Shape on Damping Ratio of Dry Sand by Simple Shear Testing and Artificial Intelligence
20. Failure response of rocks under different cyclic loading histories
21. Practical Models To Distinguish Between Seismic Events And Blast Signals
22. Internal Friction Angle of Cohesionless Binary Mixture Sand–Granular Rubber Using Experimental Study and Machine Learning
23. Application of UAVs in the mining industry and towards an integrated UAV-AI-MR technology for mine rehabilitation surveillance
24. Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models
25. Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting
26. Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation
27. Risk Assessment in Quarries using Failure Modes and Effects Analysis Method (Case study: West-Azerbaijan Mines)
28. A data-driven field-scale approach to estimate the permeability of fractured rocks
29. Experimental Study on Progressive Damage Evolution in Rocks Subjected to Post-peak Cyclic Loading History
30. Prediction of Parallel Desiccation Cracks of Clays Using a Classification and Regression Tree (CART) Technique
31. Roadheader performance prediction using genetic programming (GP) and gene expression programming (GEP) techniques
32. Prediction of blast-induced air overpressure: a hybrid AI-based predictive model
33. Post-peak behaviour of rocks under cyclic loading using a double-criteria damage-controlled test method
34. Rockburst assessment in deep geotechnical conditions using true-triaxial tests and data-driven approaches
35. A new conventional criterion for the performance evaluation of gang saw machines
36. Application of self-organizing map and fuzzy c-mean techniques for rockburst clustering in deep underground projects
37. Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques
38. Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models
39. Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting
40. Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.