37 results on '"Kardani, Navid"'
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2. Application of Machine Learning Methods in Estimating Soil Parameters from Dynamic Penetration Tests
3. Highly efficient reliability analysis of anisotropic heterogeneous slopes: Machine Learning aided Monte Carlo method
4. Slope stability predictions on spatially variable random fields using machine learning surrogate models
5. Highly efficient reliability analysis of anisotropic heterogeneous slopes: machine learning-aided Monte Carlo method
6. A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates
7. A Comparative Analysis of Hybrid Computational Models Constructed with Swarm Intelligence Algorithms for Estimating Soil Compression Index
8. Experimental Study and Machine Learning Aided Modelling of the Mechanical Behaviour of Rammed Earth
9. A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil
10. Slope stability machine learning predictions on spatially variable random fields with and without factor of safety calculations
11. Ensemble unit and AI techniques for prediction of rock strain
12. Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter
13. Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods
14. A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns
15. Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine
16. Predicting the thermal conductivity of soils using integrated approach of ANN and PSO with adaptive and time-varying acceleration coefficients
17. Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment
18. Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power
19. Estimating unconfined compressive strength of unsaturated cemented soils using alternative evolutionary approaches
20. Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks
21. Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO
22. Improved prediction of slope stability using a hybrid stacking ensemble method based on finite element analysis and field data
23. Estimation of Bearing Capacity of Piles in Cohesionless Soil Using Optimised Machine Learning Approaches
24. Hybrid neuro swarm intelligence paradigms for predicting the shear strength of sub-soil of heavy-haul freight corridor.
25. Highly efficient reliability analysis of anisotropic heterogeneous slopes: machine learning-aided Monte Carlo method
26. Hybrid neuro swarm intelligence paradigms for predicting the shear strength of sub-soil of heavy-haul freight corridor
27. Static and dynamic evaluation of a novel solution path on asphaltene deposition and drag reduction in flowlines: An experimental study
28. Smart phase behavior modeling of asphaltene precipitation using advanced computational frameworks: ENN, GMDH, and MPMR
29. A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates
30. Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine
31. Machine learning prediction of the conversion of lignocellulosic biomass during hydrothermal carbonization.
32. Modelling of municipal solid waste gasification using an optimised ensemble soft computing model
33. Machine learning prediction of the conversion of lignocellulosic biomass during hydrothermal carbonization
34. A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil
35. Laboratory evaluation of a novel multifunctional chemical solution for asphaltene precipitation and aggregation problem: Comparison with an industrial chemical solution
36. Estimation of Bearing Capacity of Piles in Cohesionless Soil Using Optimised Machine Learning Approaches
37. An adaptive preconditioned conjugate gradient approach for extremely large optimisation problems arising in computational geomechanics
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