347 results on '"Samui, Pijush"'
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2. Prediction of the Splitting Tensile Strength of Manufactured Sand Based High-Performance Concrete Using Explainable Machine Learning
3. Machine learning approach for evaluating soil liquefaction probability based on reliability method
4. Predicting slope failure with intelligent hybrid modeling of ANFIS with GA and PSO
5. Intelligent computing hybrid models on estimating the consolidation settlement of shallow foundations
6. Proposed numerical and machine learning models for fiber-reinforced polymer concrete-steel hollow and solid elliptical columns
7. Utilization of Tree-Based Ensemble Models for Predicting the Shear Strength of Soil
8. Probabilistic Slope Stability Analysis on a Heavy-Duty Freight Corridor Using a Soft Computing Technique
9. Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
10. Experimental and Computational Analysis of lime-treated geogrid-reinforced Silty Sand Beneath Circular Footings
11. Uncertainty-Aware Prediction of Bearing Capacity of Shallow Foundations Resting on Cohesionless Soils Using Bayesian Regression
12. Prediction of bearing capacity of pile foundation using deep learning approaches
13. Appraisal of numerous machine learning techniques for the prediction of bearing capacity of strip footings subjected to inclined loading
14. Application of MCS, GRNN, and GPR for performing the reliability analysis of rock slope
15. Soft computing-based reliability analysis of simply supported beam: a comparative study of hybrid ANN models
16. Seismically Induced Liquefaction Potential Assessment by Different Artificial Intelligence Procedures
17. Estimation of water quality index using modern-day machine learning algorithms
18. A novel approach for assessment of seismic induced liquefaction susceptibility of soil
19. Reliability assessment and forecasting of moment ratio/factor of safety for sheet pile walls utilizing hybrid ANFIS enhanced by optimization techniques
20. Probabilistic slope stability analysis using subset simulation enhanced by ensemble machine learning techniques
21. Probabilistic Analysis of Slope Using Bishop Method of Slices with the Help of Subset Simulation Subsequently Aided with Hybrid Machine Learning Paradigm
22. Reliability-Based Load and Resistance Factor Design of an Energy Pile with CPT Data Using Machine Learning Techniques
23. Seismic Performance of Gravity Retaining Walls Under Quasi-static Approach Using Probabilistic Analysis
24. A novel approach to estimate rock deformation under uniaxial compression using a machine learning technique
25. A Comparative Study of AdaBoost and K-Nearest Neighbor Regressors for the Prediction of Compressive Strength of Ultra-High Performance Concrete
26. Machine learning-enhanced Monte Carlo and subset simulations for advanced risk assessment in transportation infrastructure
27. Reliability analysis of portal frame subjected to varied lateral loads using machine learning
28. Slope stability analysis of heavy-haul freight corridor using novel machine learning approach
29. Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses
30. Reliability analysis of frame structures under top-floor lateral load using artificial intelligence
31. Probabilistic analysis of gravity retaining wall against bearing failure
32. Determination of Best Criteria for Evaluation of Liquefaction Potential of Soil
33. Second-order reliability analysis of an energy pile with CPT data
34. Enhancing earth dam slope stability prediction with integrated AI and statistical models
35. Revealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm
36. Prediction of compressive strength of high-volume fly ash self-compacting concrete with silica fume using machine learning techniques
37. Development of hybrid gradient boosting models for predicting the compressive strength of high-volume fly ash self-compacting concrete with silica fume
38. Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm
39. State Parameter Based Liquefaction Probability Evaluation
40. Optimized ANN-based approach for estimation of shear strength of soil
41. Suitability assessment of the best liquefaction analysis procedure based on SPT data
42. State of art soft computing based simulation models for bearing capacity of pile foundation: a comparative study of hybrid ANNs and conventional models
43. A novel hybrid model of augmented grey wolf optimizer and artificial neural network for predicting shear strength of soil
44. Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading
45. Applying data augmentation technique on blast-induced overbreak prediction: Resolving the problem of data shortage and data imbalance
46. Stability Enhancement of Railway Embankment Using Geosynthetic Layer
47. Parametric investigation of rectangular CFRP-confined concrete columns reinforced by inner elliptical steel tubes using finite element and machine learning models
48. Implementing ensemble learning models for the prediction of shear strength of soil
49. Comparison of different optimized machine learning algorithms for daily river flow forecasting
50. A critical review of conventional and soft computing methods for slope stability analysis
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