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 11, 90-99, 2017 | 295 | 2017 |
Optimum recycled concrete aggregate and micro-silica content in self-compacting concrete: Rheological, mechanical and microstructural properties N Bahrami, M Zohrabi, SA Mahmoudy, M Akbari Journal of Building Engineering 31, 101361, 2020 | 79 | 2020 |
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 | 70 | 2019 |
Optimum mix design of recycled concrete based on the fresh and hardened properties of concrete MS Bidabadi, M Akbari, O Panahi Journal of Building Engineering 32, 101483, 2020 | 64 | 2020 |
Clustered K nearest neighbor algorithm for daily inflow forecasting M Akbari, PJ Overloop, A Afshar Water resources management 25, 1341-1357, 2011 | 57 | 2011 |
Prediction of compressive strength of concrete by data-driven models F Khademi, M Akbari, SM Jamal I-Manager’s J Civ Eng 5 (2), 16-23, 2015 | 55 | 2015 |
Simultaneous layout and size optimization of water distribution networks: engineering approach MH Afshar, M Akbari, MA Mariño Journal of Infrastructure Systems 11 (4), 221-230, 2005 | 45 | 2005 |
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 |
Data driven models for compressive strength prediction of concrete at high temperatures M Akbari, V Jafari Deligani Frontiers of Structural and Civil Engineering 14 (2), 311-321, 2020 | 28 | 2020 |
Statistical inference about the variance of fuzzy random variables MGH Akbari, AH Rezaei, Y Waghei Sankhyā: The Indian Journal of Statistics, Series B (2008-), 206-221, 2009 | 28 | 2009 |
ANN-based prediction intervals to forecast labour productivity F Nasirzadeh, HMD Kabir, M Akbari, A Khosravi, S Nahavandi, ... Engineering, Construction and Architectural Management 27 (9), 2335-2351, 2020 | 27 | 2020 |
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 |
Stochastic multiobjective reservoir operation under imprecise objectives: multicriteria decision-making approach M Akbari, A Afshar, SJ Mousavi Journal of Hydroinformatics 13 (1), 110-120, 2011 | 22 | 2011 |
A robust least squares fuzzy regression model based on kernel function AH Khammar, M Arefi, MG Akbari Iranian Journal of Fuzzy Systems 17 (4), 105-119, 2020 | 21 | 2020 |
Modeling autoregressive fuzzy time series data based on semi-parametric methods R Zarei, MG Akbari, J Chachi Soft Computing 24 (10), 7295-7304, 2020 | 19 | 2020 |
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 |
Fuzzy rule based models modification by new data: application to flood flow forecasting M Akbari, A Afshar, MR Sadrabadi Water resources management 23, 2491-2504, 2009 | 17 | 2009 |
Similarity-based error prediction approach for real-time inflow forecasting M Akbari, A Afshar Hydrology Research 45 (4-5), 589-602, 2014 | 15 | 2014 |
Order statistics using fuzzy random variables MGH Akbari, AH Rezaei Statistics & probability letters 79 (8), 1031-1037, 2009 | 14 | 2009 |
Multi‐objective reservoir operation under emergency condition: A bbaspour reservoir case study with non‐functional spillways M Akbari, A Afshar, SJ Mousavi Journal of Flood Risk Management 7 (4), 374-384, 2014 | 13 | 2014 |