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Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials
Ahmad, Waqas, Ahmad, Ayaz, Ostrowski, Krzysztof Adam, Aslam, Fahid, Joyklad, Panuwat, Zajdel, Paulina
Published in Materials (02.10.2021)
Published in Materials (02.10.2021)
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Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature
Ahmad, Ayaz, Ostrowski, Krzysztof Adam, Maślak, Mariusz, Farooq, Furqan, Mehmood, Imran, Nafees, Afnan
Published in Materials (28.07.2021)
Published in Materials (28.07.2021)
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Microstrip Leaky-Wave Antenna with Circular Polarization and Broadside Radiation
Ahmad, Ayaz, Mukherjee, Jayanta
Published in IEEE antennas and wireless propagation letters (01.09.2023)
Published in IEEE antennas and wireless propagation letters (01.09.2023)
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Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA
Ahmad, Ayaz, Chaiyasarn, Krisada, Farooq, Furqan, Ahmad, Waqas, Suparp, Suniti, Aslam, Fahid
Published in Buildings (Basel) (01.08.2021)
Published in Buildings (Basel) (01.08.2021)
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Application of Novel Machine Learning Techniques for Predicting the Surface Chloride Concentration in Concrete Containing Waste Material
Ahmad, Ayaz, Farooq, Furqan, Ostrowski, Krzysztof Adam, Śliwa-Wieczorek, Klaudia, Czarnecki, Slawomir
Published in Materials (29.04.2021)
Published in Materials (29.04.2021)
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Machine Learning Prediction Models to Evaluate the Strength of Recycled Aggregate Concrete
Yuan, Xiongzhou, Tian, Yuze, Ahmad, Waqas, Ahmad, Ayaz, Usanova, Kseniia Iurevna, Mohamed, Abdeliazim Mustafa, Khallaf, Rana
Published in Materials (12.04.2022)
Published in Materials (12.04.2022)
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Unified optimization model for energy management in sustainable smart power systems
Ahmad, Sadiq, Naeem, Muhammad, Ahmad, Ayaz
Published in International transactions on electrical energy systems (01.04.2020)
Published in International transactions on electrical energy systems (01.04.2020)
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Prediction of Geopolymer Concrete Compressive Strength Using Novel Machine Learning Algorithms
Ahmad, Ayaz, Ahmad, Waqas, Chaiyasarn, Krisada, Ostrowski, Krzysztof Adam, Aslam, Fahid, Zajdel, Paulina, Joyklad, Panuwat
Published in Polymers (02.10.2021)
Published in Polymers (02.10.2021)
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Plastic Waste Management Strategies and Their Environmental Aspects: A Scientometric Analysis and Comprehensive Review
Huang, Saimin, Wang, Hongchang, Ahmad, Waqas, Ahmad, Ayaz, Ivanovich Vatin, Nikolai, Mohamed, Abdeliazim Mustafa, Deifalla, Ahmed Farouk, Mehmood, Imran
Published in International journal of environmental research and public health (10.04.2022)
Published in International journal of environmental research and public health (10.04.2022)
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Application of Soft Computing Techniques to Predict the Strength of Geopolymer Composites
Wang, Qichen, Ahmad, Waqas, Ahmad, Ayaz, Aslam, Fahid, Mohamed, Abdullah, Vatin, Nikolai Ivanovich
Published in Polymers (08.03.2022)
Published in Polymers (08.03.2022)
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A Systematic Review of the Research Development on the Application of Machine Learning for Concrete
Khan, Kaffayatullah, Ahmad, Waqas, Amin, Muhammad Nasir, Ahmad, Ayaz
Published in Materials (27.06.2022)
Published in Materials (27.06.2022)
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An Experimental and Empirical Study on the Use of Waste Marble Powder in Construction Material
Sufian, Muhammad, Ullah, Safi, Ostrowski, Krzysztof Adam, Ahmad, Ayaz, Zia, Asad, Śliwa-Wieczorek, Klaudia, Siddiq, Muhammad, Awan, Arsam Ahmad
Published in Materials (08.07.2021)
Published in Materials (08.07.2021)
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