Predicting strength of recycled aggregate concrete using artificial neural network, adaptive neuro-fuzzy inference system and multiple linear regression F Khademi, SM Jamal, N Deshpande, S Londhe International Journal of Sustainable Built Environment 5 (2), 355-369, 2016 | 302 | 2016 |
Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete F Khademi, M Akbari, SM Jamal, M Nikoo Frontiers of Structural and Civil Engineering, 1-10, 2017 | 287 | 2017 |
Evaluation of Concrete Compressive Strength Using Artificial Neural Network and Multiple Linear Regression Models F Khademi, K Behfarnia Iran University of Science & Technology 6 (3), 423-432, 2016 | 87 | 2016 |
Evaluation of data-driven models for predicting the service life of concrete sewer pipes subjected to corrosion X Li, F Khademi, Y Liu, M Akbari, C Wang, PL Bond, J Keller, G Jiang Journal of environmental management 234, 431-439, 2019 | 67 | 2019 |
Prediction of Compressive Strength of Concrete by Data-Driven Models F Khademi, M Akbari, SM Jamal i-manager’s Journal on Civil Engineering 5 (2), 16-23, 2015 | 53 | 2015 |
Predicting the 28 days compressive strength of concrete using artificial neural network F Khademi, SM Jamal i-manager's Journal on Civil Engineering 6 (2), 1, 2016 | 45 | 2016 |
A comprehensive study on the concrete compressive strength estimation using artificial neural network and adaptive neuro-fuzzy inference system K Behfarnia, F Khademi Iran University of Science & Technology 7 (1), 71-80, 2017 | 40 | 2017 |
PREDICTION OF CONCRETE COMPRESSIVE STRENGTH USING ULTRASONIC PULSE VELOCITY TEST AND ARTIFICIAL NEURAL NETWORK MODELING. F Khademi, M Akbari, SM Jamal Romanian Journal of Materials/Revista Romana de Materiale 46 (3), 2016 | 34* | 2016 |
Estimating the compressive strength of concrete using multiple linear regression and adaptive neuro-fuzzy inference system F Khademi, SM Jamal International Journal of Structural Engineering 8 (1), 20-31, 2017 | 33 | 2017 |
Determination of damage in reinforced concrete frames with shear walls using self-organizing feature map M Nikoo, Ł Sadowski, F Khademi, M Nikoo Applied Computational Intelligence and Soft Computing 2017, 2017 | 27 | 2017 |
Displacement determination of concrete reinforcement building using data-driven models F Khademi, M Akbari, M Nikoo International Journal of Sustainable Built Environment 6 (2), 400-411, 2017 | 26 | 2017 |
Estimation of fundamental period of reinforced concrete shear wall buildings using self organization feature map M Nikoo, M Hadzima-Nyarko, F Khademi, S Mohasseb Structural engineering and mechanics: An international journal 63 (2), 237-249, 2017 | 22 | 2017 |
Expansive soil: causes and treatments F Khademi, J Budiman i-Manager's Journal on Civil Engineering 6 (3), 1, 2016 | 22 | 2016 |
MEASURING COMPRESSIVE STRENGTH OF PUZZOLAN CONCRETE BY ULTRASONIC PULSE VELOCITY METHOD. F Khademi, M AKBARI, SM Jamal Journal on Civil Engineering 5 (3), 2015 | 19 | 2015 |
Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete. Frontiers of Structural and Civil Engineering, 11 … F Khademi, A Mahmoud, J Sayed Mohammadmehdi, N Mehdi | 6 | |
Load rating of railway bridges by analysis and testing F Khademi Illinois Institute of Technology, 2015 | 5 | 2015 |
Enhancing Load Rating of Railway Truss Bridges through a Hybrid Structural Analysis and Instrumentation Procedure F Khademi Illinois Institute of Technology, 2017 | 4 | 2017 |
J.: Predicting the 28 days compressive strength of concrete using an artificial neural network. i-manager’s Journal on Civil Engineering, 6 (2016) 2 F Khademi, S Mohammadmehdi | 4 | 2016 |
3-D frame behaviour and load rating of truss bridges in railway infrastructure G Fu, F Khademi, H Le, S Zoruba Structure and Infrastructure Engineering 19 (1), 134-145, 2022 | | 2022 |
In-and Out-of-Plane Bending in Steel Through-Truss Bridges G Fu, F Khademi, S Zoruba Practice Periodical on Structural Design and Construction 27 (2), 05022002, 2022 | | 2022 |