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1
2022
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1
Kaffayatullah,Ayaz,Muhammad''Comparative study of experimental and modeling of fly ash-based concrete'',MDPI,2022.
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2
2022
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2
Muhammad,Kaffayatullah,Waqas''Compressive strength estimation of geopolymer composites through novel computational approaches'',MDPI,2022.
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3
2022
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3
Muhammad,Waqas,Kaffayatullah''Mapping Research Knowledge on Rice Husk Ash Application in Concrete: A Scientometric Review'',MDPI,2022.
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4
2022
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4
Kaffayatullah,Waqas,Muhammad''Comparison of prediction models based on machine learning for the compressive strength estimation of recycled aggregate concrete'',MDPI,2022.
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5
2022
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5
Kaffayatullah,Waqas,Muhammad''Comparison of prediction models based on machine learning for the compressive strength estimation of recycled aggregate concrete'',MDPI,2022.
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6
2022
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6
Yong,,''Evaluation of Artificial Intelligence Methods to Estimate the Compressive Strength of Geopolymers'',MDPI,2022.
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7
2022
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7
Yongzhong,Ayaz,Waqas''Predicting the splitting tensile strength of recycled aggregate concrete using individual and ensemble machine learning approaches'',MDPI,2022.
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8
2022
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8
Xiongzhou,Yuze,Waqas''Machine learning prediction models to evaluate the strength of recycled aggregate concrete'',MDPI,2022.
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9
2022
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9
Saimin,Hongchang,Waqas''Plastic Waste Management Strategies and Their Environmental Aspects: A Scientometric Analysis and Comprehensive Review'',MDPI,2022.
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10
2022
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10
Guanlei,Chengke,Waqas''Fly Ash Application as Supplementary Cementitious Material: A Review'',MDPI,2022.
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11
2022
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11
Qichen,Waqas,Ayaz''Application of Soft Computing Techniques to Predict the Strength of Geopolymer Composites'',MDPI,2022.
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12
2022
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12
Qiuying,,''Concrete filled double steel tube columns incorporating UPVC pipes under uniaxial compressive load at ambient and elevated temperature'',Elsevier,2022.
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13
2022
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13
Meijun,,''Predicting the Mechanical Properties of RCA-Based Concrete Using Supervised Machine Learning Algorithms'',MDPI,2022.
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14
2022
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14
Ayaz,Waqas,Fahid''Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques'',Elsevier,2022.
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15
2022
|
15
Haihua,,''A comprehensive overview of geopolymer composites: A bibliometric analysis and literature review'',Elsevier,2022.
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16
2022
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16
Bin,Waqas,Ayaz''A scientometric analysis approach to analyze the present research on recycled aggregate concrete'',Elsevier,2022.
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17
2021
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17
Yue,Waqas,Ayaz''Computation of High-Performance Concrete Compressive Strength Using Standalone and Ensembled Machine Learning Techniques'',MDPI,2021.
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18
2021
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18
Rayed,Waqas,Ayaz''Potential use of recycled plastic and rubber aggregate in cementitious materials for sustainable construction A review'',Elsevier,2021.
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19
2021
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19
Xuemei,Di,Waqas''A systematic review of waste materials in cement-based composites for construction applications'',Elsevier,2021.
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20
2021
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20
Hongwei,,''A comprehensive overview of jute fiber reinforced cementitious composites'',Elsevier,2021.
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21
2021
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21
Waqas,Ayaz,Krzysztof''Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials'',MDPI,2021.
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22
2021
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22
Ayaz,Waqas,Krisada''Prediction of Geopolymer Concrete Compressive Strength Using Novel Machine Learning Algorithms'',MDPI,2021.
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23
2021
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23
Waqas,Ayaz,Krzysztof''Sustainable approach of using sugarcane bagasse ash in cement-based composites: A systematic review'',Elsevier,2021.
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24
2021
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24
Waqas,Ayaz,Krzysztof ''A scientometric review of waste material utilization in concrete for sustainable construction'',Elsevier,2021.
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25
2021
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25
Ayaz,,''Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA'',MDPI,2021.
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26
2021
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26
Waqas,Mehran ,Poitr''Effect of Short Fiber Reinforcements on Fracture Performance of Cement-Based Materials: A Systematic Review Approach'',MDPI,2021.
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27
2020
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27
Waqas,Syed,Muhammad''Effect of coconut fiber length and content on properties of high strength concrete'',MDPI,2020.
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