Search Results - "Ahmad, Ayaz"

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  1. 1

    Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques by Ahmad, Ayaz, Ahmad, Waqas, Aslam, Fahid, Joyklad, Panuwat

    Published in Case Studies in Construction Materials (01-06-2022)
    “…Concrete is a widely used construction material, and cement is its main constituent. Production and utilization of cement severely affect the environment due…”
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    Journal Article
  2. 2

    Microstrip Leaky-Wave Antenna with Circular Polarization and Broadside Radiation by Ahmad, Ayaz, Mukherjee, Jayanta

    “…In this letter, a novel circularly polarized microstrip leaky-wave antenna is proposed with broadside radiation and high gain. A conventional microstrip patch…”
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    Journal Article
  3. 3

    Analyzing the Compressive Strength of Ceramic Waste-Based Concrete Using Experiment and Artificial Neural Network (ANN) Approach by Song, Hongwei, Ahmad, Ayaz, Ostrowski, Krzysztof Adam, Dudek, Marta

    Published in Materials (11-08-2021)
    “…In a fast-growing population of the world and regarding meeting consumer’s requirements, solid waste landfills will continue receiving a substantial amount of…”
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    Journal Article
  4. 4

    Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials by Ahmad, Waqas, Ahmad, Ayaz, Ostrowski, Krzysztof Adam, Aslam, Fahid, Joyklad, Panuwat, Zajdel, Paulina

    Published in Materials (02-10-2021)
    “…The casting and testing specimens for determining the mechanical properties of concrete is a time-consuming activity. This study employed supervised machine…”
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    Journal Article
  5. 5

    Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA by Ahmad, Ayaz, Chaiyasarn, Krisada, Farooq, Furqan, Ahmad, Waqas, Suparp, Suniti, Aslam, Fahid

    Published in Buildings (Basel) (01-08-2021)
    “…To minimize the environmental risks and for sustainable development, the utilization of recycled aggregate (RA) is gaining popularity all over the world. The…”
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    Journal Article
  6. 6

    Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature by Ahmad, Ayaz, Ostrowski, Krzysztof Adam, Maślak, Mariusz, Farooq, Furqan, Mehmood, Imran, Nafees, Afnan

    Published in Materials (28-07-2021)
    “…High temperature severely affects the nature of the ingredients used to produce concrete, which in turn reduces the strength properties of the concrete. It is…”
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    Journal Article
  7. 7

    Broadside scanning comb‐line leaky‐wave antenna with gain enhancement and reduced cross‐polarization by Ahmad, Ayaz, Mukherjee, Jayanta

    Published in Microwave and optical technology letters (01-10-2023)
    “…In this work, a comb‐line leaky‐wave antenna with a pair of wide stubs is proposed with enhanced gain and reduced cross‐polarization. To ensure broadside…”
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    Journal Article
  8. 8

    A Comprehensive Review of Types, Properties, Treatment Methods and Application of Plant Fibers in Construction and Building Materials by Amin, Muhammad Nasir, Ahmad, Waqas, Khan, Kaffayatullah, Ahmad, Ayaz

    Published in Materials (20-06-2022)
    “…Sustainable development involves the usage of alternative sustainable materials in order to sustain the excessive depletion of natural resources. Plant fibers,…”
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    Journal Article
  9. 9

    Prediction of Compressive Strength of Fly Ash Based Concrete Using Individual and Ensemble Algorithm by Ahmad, Ayaz, Farooq, Furqan, Niewiadomski, Pawel, Ostrowski, Krzysztof, Akbar, Arslan, Aslam, Fahid, Alyousef, Rayed

    Published in Materials (08-02-2021)
    “…Machine learning techniques are widely used algorithms for predicting the mechanical properties of concrete. This study is based on the comparison of…”
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    Journal Article
  10. 10

    Machine Learning Prediction Models to Evaluate the Strength of Recycled Aggregate Concrete by Yuan, Xiongzhou, Tian, Yuze, Ahmad, Waqas, Ahmad, Ayaz, Usanova, Kseniia Iurevna, Mohamed, Abdeliazim Mustafa, Khallaf, Rana

    Published in Materials (12-04-2022)
    “…Compressive and flexural strength are the crucial properties of a material. The strength of recycled aggregate concrete (RAC) is comparatively lower than that…”
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    Journal Article
  11. 11

    Application of Novel Machine Learning Techniques for Predicting the Surface Chloride Concentration in Concrete Containing Waste Material by Ahmad, Ayaz, Farooq, Furqan, Ostrowski, Krzysztof Adam, Śliwa-Wieczorek, Klaudia, Czarnecki, Slawomir

    Published in Materials (29-04-2021)
    “…Structures located on the coast are subjected to the long-term influence of chloride ions, which cause the corrosion of steel reinforcements in concrete…”
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    Journal Article
  12. 12

    Predicting the Mechanical Properties of RCA-Based Concrete Using Supervised Machine Learning Algorithms by Shang, Meijun, Li, Hejun, Ahmad, Ayaz, Ahmad, Waqas, Ostrowski, Krzysztof Adam, Aslam, Fahid, Joyklad, Panuwat, Majka, Tomasz M

    Published in Materials (15-01-2022)
    “…Environment-friendly concrete is gaining popularity these days because it consumes less energy and causes less damage to the environment. Rapid increases in…”
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    Journal Article
  13. 13

    Effect of Coconut Fiber Length and Content on Properties of High Strength Concrete by Ahmad, Waqas, Farooq, Syed Hassan, Usman, Muhammad, Khan, Mehran, Ahmad, Ayaz, Aslam, Fahid, Yousef, Rayed Al, Abduljabbar, Hisham Al, Sufian, Muhammad

    Published in Materials (28-02-2020)
    “…Recently, the addition of natural fibers to high strength concrete (HSC) has been of great interest in the field of construction materials. Compared to…”
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    Journal Article
  14. 14

    A Systematic Review of the Research Development on the Application of Machine Learning for Concrete by Khan, Kaffayatullah, Ahmad, Waqas, Amin, Muhammad Nasir, Ahmad, Ayaz

    Published in Materials (27-06-2022)
    “…Research on the applications of new techniques such as machine learning is advancing rapidly. Machine learning methods are being employed to predict the…”
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    Journal Article
  15. 15

    Prediction of Geopolymer Concrete Compressive Strength Using Novel Machine Learning Algorithms by Ahmad, Ayaz, Ahmad, Waqas, Chaiyasarn, Krisada, Ostrowski, Krzysztof Adam, Aslam, Fahid, Zajdel, Paulina, Joyklad, Panuwat

    Published in Polymers (02-10-2021)
    “…The innovation of geopolymer concrete (GPC) plays a vital role not only in reducing the environmental threat but also as an exceptional material for…”
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    Journal Article
  16. 16

    Comparison of Prediction Models Based on Machine Learning for the Compressive Strength Estimation of Recycled Aggregate Concrete by Khan, Kaffayatullah, Ahmad, Waqas, Amin, Muhammad Nasir, Aslam, Fahid, Ahmad, Ayaz, Al-Faiad, Majdi Adel

    Published in Materials (10-05-2022)
    “…Numerous tests are used to determine the performance of concrete, but compressive strength (CS) is usually regarded as the most important. The recycled…”
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    Journal Article
  17. 17

    A simple sinusoidal curve‐based one‐dimensional periodic leaky‐wave antenna for high‐gain continuous beam scanning by Pandey, Vishakha, Ahmad, Ayaz, Mukherjee, Jayanta

    Published in Microwave and optical technology letters (01-08-2024)
    “…A novel technique is presented based on a sinusoidal curve‐shaped one‐dimensional periodic leaky‐wave antenna to eliminate open stopband (OSB) and enhance…”
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    Journal Article
  18. 18

    Computation of High-Performance Concrete Compressive Strength Using Standalone and Ensembled Machine Learning Techniques by Xu, Yue, Ahmad, Waqas, Ahmad, Ayaz, Ostrowski, Krzysztof Adam, Dudek, Marta, Aslam, Fahid, Joyklad, Panuwat

    Published in Materials (19-11-2021)
    “…The current trend in modern research revolves around novel techniques that can predict the characteristics of materials without consuming time, effort, and…”
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    Journal Article
  19. 19

    Steel Fiber-Reinforced Concrete: A Systematic Review of the Research Progress and Knowledge Mapping by Amin, Muhammad Nasir, Ahmad, Waqas, Khan, Kaffayatullah, Ahmad, Ayaz

    Published in Materials (01-09-2022)
    “…This study performed a scientometric-based examination of the literature on steel fiber-reinforced concrete (SFRC) to identify its key elements. Typical review…”
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  20. 20

    Application of Soft Computing Techniques to Predict the Strength of Geopolymer Composites by Wang, Qichen, Ahmad, Waqas, Ahmad, Ayaz, Aslam, Fahid, Mohamed, Abdullah, Vatin, Nikolai Ivanovich

    Published in Polymers (08-03-2022)
    “…Geopolymers may be the best alternative to ordinary Portland cement because they are manufactured using waste materials enriched in aluminosilicate. Research…”
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    Journal Article