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Publications by Ammar NECHNECH
Prediction of Axial Capacity of Piles Driven in Non-Cohesive Soils Based on Neural Networks Approach
Journal of Civil Engineering and Management
Civil
Management
Structural Engineering
Strategy
Related publications
Evaluation of Methods for Predicting Axial Capacity of Jacked-In and Driven Piles in Cohesive Soils
Gradevinar
Civil
Structural Engineering
Lateral Load Bearing Capacity Modelling of Piles in Cohesive Soils in Undrained Conditions: An Intelligent Evolutionary Approach
Applied Soft Computing Journal
Software
Prediction of Friction Capacity of Driven Piles in Clay Using the Support Vector Machine
Canadian Geotechnical Journal
Civil
Geotechnical Engineering
Engineering Geology
Structural Engineering
Numerical Modelling of Piles Group Under Seismic Loading in Cohesive Soils : Inclination Effect
Empirical Formulas to Predict the Axial Capacity of Driven Piles Using In-Situ Dynamic Load Testing Data
International Journal of Machine Learning and Computing
Management
Computer Science Applications
Information Systems
Artificial Intelligence
Prediction of Solar Irradiance Based on Artificial Neural Networks
Inventions
Engineering
Prediction of Erosional Rates for Cohesive Sediments in Annular Flume Experiments Using Artificial Neural Networks
H2Open Journal
Axial Tensile Capacity of Helical Piles From Field Tests and Numerical Study
Port-Said Engineering Research Journal
Sulphide Capacity Prediction of Molten Slags by Using a Neural Network Approach
ISIJ International
Mechanics of Materials
Alloys
Materials Chemistry
Metals
Mechanical Engineering
