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The last 5 uploaded publications
The Effect of Incorporating Industrials Wastewater on Durability and Long-Term Strength of Concrete
Ehsan Nasseralshariati, Danial Mohammadzadeh S., Nader Karballaeezadeh, Amir Mosavi, Uwe Reuter, Murat Saatcioglu (2021). The Effect of Incorporating Industrials Wastewater on Durability and Long-Term Strength of Concrete. Materials, 14(15), pp. 4088-4088, DOI: 10.3390/ma14154088.
Article336 days agoThe Effect of Incorporating Industrials Wastewater on Durability and Long-Term Strength of Concrete
Ehsan Nasseralshariati, Danial Mohammadzadeh S., Nader Karballaeezadeh, Amir Mosavi, Uwe Reuter, Murat Saatcioglu (2021). The Effect of Incorporating Industrials Wastewater on Durability and Long-Term Strength of Concrete. Materials, 14(15), pp. 4088-4088, DOI: 10.3390/ma14154088.
Article336 days agoPrediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan–Firuzkuh road)
Nader Karballaeezadeh, Danial Mohammadzadeh S., Shahaboddin Shamshirband, Pouria Hajikhodaverdikhan, Amir Mosavi, Kwok‐wing Chau (2019). Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan–Firuzkuh road). Engineering Applications of Computational Fluid Mechanics, 13(1), pp. 188-198, DOI: 10.1080/19942060.2018.1563829.
Article335 days agoComparative Analysis of Machine Learning Models for Prediction of Remaining Service Life of Flexible Pavement
Narjes Nabipour, Nader Karballaeezadeh, Adrienn Dineva, Amir Mosavi, Danial Mohammadzadeh S., Shahaboddin Shamshirband (2019). Comparative Analysis of Machine Learning Models for Prediction of Remaining Service Life of Flexible Pavement. Mathematics, 7(12), pp. 1198-1198, DOI: 10.3390/math7121198.
Article335 days agoEstimation of flexible pavement structural capacity using machine learning techniques
Nader Karballaeezadeh, Hosein Ghasemzadeh Tehrani, Danial Mohammadzadeh S., Shahaboddin Shamshirband (2020). Estimation of flexible pavement structural capacity using machine learning techniques. Frontiers of Structural and Civil Engineering, 14(5), pp. 1083-1096, DOI: 10.1007/s11709-020-0654-z.
Article335 days ago