Ahmad A - Search Results

1

Prediction of Compressive Strength of Fly Ash Based Concrete Using Individual and Ensemble Algorithm.

Ahmad A, Farooq F, Niewiadomski P, Ostrowski K, Akbar A, Aslam F, Alyousef R. Ahmad A, et al. Materials (Basel). 2021 Feb 8;14(4):794. doi: 10.3390/ma14040794. Materials (Basel). 2021. PMID: 33567526 Free PMC article.

2

Effect of Coconut Fiber Length and Content on Properties of High Strength Concrete.

Ahmad W, Farooq SH, Usman M, Khan M, Ahmad A, Aslam F, Yousef RA, Abduljabbar HA, Sufian M. Ahmad W, et al. Among authors: ahmad a. Materials (Basel). 2020 Feb 28;13(5):1075. doi: 10.3390/ma13051075. Materials (Basel). 2020. PMID: 32121125 Free PMC article.

3

Application of Novel Machine Learning Techniques for Predicting the Surface Chloride Concentration in Concrete Containing Waste Material.

Ahmad A, Farooq F, Ostrowski KA, Śliwa-Wieczorek K, Czarnecki S. Ahmad A, et al. Materials (Basel). 2021 Apr 29;14(9):2297. doi: 10.3390/ma14092297. Materials (Basel). 2021. PMID: 33946688 Free PMC article.

4

An Experimental and Empirical Study on the Use of Waste Marble Powder in Construction Material.

Sufian M, Ullah S, Ostrowski KA, Ahmad A, Zia A, Śliwa-Wieczorek K, Siddiq M, Awan AA. Sufian M, et al. Among authors: ahmad a. Materials (Basel). 2021 Jul 8;14(14):3829. doi: 10.3390/ma14143829. Materials (Basel). 2021. PMID: 34300748 Free PMC article.

5

Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature.

Ahmad A, Ostrowski KA, Maślak M, Farooq F, Mehmood I, Nafees A. Ahmad A, et al. Materials (Basel). 2021 Jul 28;14(15):4222. doi: 10.3390/ma14154222. Materials (Basel). 2021. PMID: 34361416 Free PMC article.

6

Analyzing the Compressive Strength of Ceramic Waste-Based Concrete Using Experiment and Artificial Neural Network (ANN) Approach.

Song H, Ahmad A, Ostrowski KA, Dudek M. Song H, et al. Among authors: ahmad a. Materials (Basel). 2021 Aug 11;14(16):4518. doi: 10.3390/ma14164518. Materials (Basel). 2021. PMID: 34443041 Free PMC article.

7

Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials.

Ahmad W, Ahmad A, Ostrowski KA, Aslam F, Joyklad P, Zajdel P. Ahmad W, et al. Among authors: ahmad a. Materials (Basel). 2021 Oct 2;14(19):5762. doi: 10.3390/ma14195762. Materials (Basel). 2021. PMID: 34640160 Free PMC article.

8

Prediction of Geopolymer Concrete Compressive Strength Using Novel Machine Learning Algorithms.

Ahmad A, Ahmad W, Chaiyasarn K, Ostrowski KA, Aslam F, Zajdel P, Joyklad P. Ahmad A, et al. Among authors: ahmad w. Polymers (Basel). 2021 Oct 2;13(19):3389. doi: 10.3390/polym13193389. Polymers (Basel). 2021. PMID: 34641204 Free PMC article.

9

Computation of High-Performance Concrete Compressive Strength Using Standalone and Ensembled Machine Learning Techniques.

Xu Y, Ahmad W, Ahmad A, Ostrowski KA, Dudek M, Aslam F, Joyklad P. Xu Y, et al. Among authors: ahmad w, ahmad a. Materials (Basel). 2021 Nov 19;14(22):7034. doi: 10.3390/ma14227034. Materials (Basel). 2021. PMID: 34832432 Free PMC article.

10

Predicting the Mechanical Properties of RCA-Based Concrete Using Supervised Machine Learning Algorithms.

Shang M, Li H, Ahmad A, Ahmad W, Ostrowski KA, Aslam F, Joyklad P, Majka TM. Shang M, et al. Among authors: ahmad w, ahmad a. Materials (Basel). 2022 Jan 15;15(2):647. doi: 10.3390/ma15020647. Materials (Basel). 2022. PMID: 35057364 Free PMC article.

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