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A TLBO-optimized artificial neural network for modeling axial capacity of pile foundations
Online Contents | 2019| -
A TLBO-optimized artificial neural network for modeling axial capacity of pile foundations
Springer Verlag | 2021| -
A TLBO-optimized artificial neural network for modeling axial capacity of pile foundations
Online Contents | 2019| -
Experimental Characterization of the Hydromechanical Properties of the Gypsum Soil of Sebkha of Oran
Free accessBASE | 2017| -
Prediction of axial capacity of piles driven in non-cohesive soils based on neural networks approach
Free accessBASE | 2017| -
Prediction of axial capacity of piles driven in non-cohesive soils based on neural networks approach
Free accessBASE | 2017| -
Prediction of axial capacity of piles driven in non-cohesive soils based on neural networks approach
British Library Online Contents | 2017| -
A Comparative Study of Hydromechanical Properties in Saturated and Partially Saturated Conditions of Two Soils from the Runway of Oran Airport
National licenceTrans Tech Publications | 2017|Contributors: Nechnech, Ammar
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