Search Results - "Aslam, Fahid"

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

“…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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A step towards sustainable glass fiber reinforced concrete utilizing silica fume and waste coconut shell aggregate by Zaid, Osama, Ahmad, Jawad, Siddique, Muhammad Shahid, Aslam, Fahid, Alabduljabbar, Hisham, Khedher, Khaled Mohamed

“…Today, it’s getting harder to find natural resources for concrete production. Utilization of the waste materials not just helps in getting them used in…”
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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

“…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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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

“…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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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

“…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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A scientometric review of waste material utilization in concrete for sustainable construction by Ahmad, Waqas, Ahmad, Ayaz, Ostrowski, Krzysztof Adam, Aslam, Fahid, Joyklad, Panuwat

“…The construction sector has a significant impact on the environment, contributing significantly to energy consumption, resource depletion, and CO2 emissions…”
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Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest by Khan, Mohsin Ali, Memon, Shazim Ali, Farooq, Furqan, Javed, Muhammad Faisal, Aslam, Fahid, Alyousef, Rayed

“…Fly ash (FA) is a residual from thermal industries that has been effectively utilized in the production of FA-based geopolymer concrete (FGPC). To avoid…”
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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

“…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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Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete by Alabdulijabbar, Hisham, Alyousef, Rayed, Akbar, Arslan, Waheed, Abdul, Khan, Kaffayatullah, Amin, Muhammad Nasir, Farooq, Furqan, Aslam, Fahid, Javed, Muhammad Faisal

“…The experimental design of high-strength concrete (HSC) requires deep analysis to get the target strength. In this study, machine learning approaches and…”
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Predictive Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Artificial Intelligence Approaches: MLPNN, ANFIS, and GEP by Nafees, Afnan, Javed, Muhammad Faisal, Khan, Sherbaz, Nazir, Kashif, Farooq, Furqan, Aslam, Fahid, Musarat, Muhammad Ali, Vatin, Nikolai Ivanovich

“…Silica fume (SF) is a mineral additive that is widely used in the construction industry when producing sustainable concrete. The integration of SF in concrete…”
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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

“…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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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

“…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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Sustainable approach of using sugarcane bagasse ash in cement-based composites: A systematic review by Ahmad, Waqas, Ahmad, Ayaz, Ostrowski, Krzysztof Adam, Aslam, Fahid, Joyklad, Panuwat, Zajdel, Paulina

“…Cement-based composites (CBCs) are the widely used construction materials, and cement is their main ingredient. The production of cement consumes a…”
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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

“…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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A Study on the Mechanical Characteristics of Glass and Nylon Fiber Reinforced Peach Shell Lightweight Concrete by Ahmad, Jawad, Zaid, Osama, Aslam, Fahid, Shahzaib, Muhammad, Ullah, Rahat, Alabduljabbar, Hisham, Khedher, Khaled Mohamed

“…In the current study, the utilization of glass and nylon fibers in various percentages are added to enhance the mechanical performance of peach shell…”
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Simulation of Depth of Wear of Eco-Friendly Concrete Using Machine Learning Based Computational Approaches by Khan, Mohsin Ali, Farooq, Furqan, Javed, Mohammad Faisal, Zafar, Adeel, Ostrowski, Krzysztof Adam, Aslam, Fahid, Malazdrewicz, Seweryn, Maślak, Mariusz

“…To avoid time-consuming, costly, and laborious experimental tests that require skilled personnel, an effort has been made to formulate the depth of wear of…”
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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

“…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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Effect of Incorporation of Rice Husk Ash Instead of Cement on the Performance of Steel Fibers Reinforced Concrete by Zaid, Osama, Ahmad, Jawad, Siddique, Muhammad Shahid, Aslam, Fahid

“…The production of rice is significant worldwide; the husk produced is generally used as a combustible material for the preparation of paddies, delivering…”
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A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC) by Farooq, Furqan, Nasir Amin, Muhammad, Khan, Kaffayatullah, Rehan Sadiq, Muhammad, Faisal Javed, Muhammad Faisal, Aslam, Fahid, Alyousef, Rayed

“…Supervised machine learning and its algorithm is an emerging trend for the prediction of mechanical properties of concrete. This study uses an ensemble random…”
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A Comparative Study for the Prediction of the Compressive Strength of Self-Compacting Concrete Modified with Fly Ash by Farooq, Furqan, Czarnecki, Slawomir, Niewiadomski, Pawel, Aslam, Fahid, Alabduljabbar, Hisham, Ostrowski, Krzysztof Adam, Śliwa-Wieczorek, Klaudia, Nowobilski, Tomasz, Malazdrewicz, Seweryn

“…Artificial intelligence and machine learning are employed in creating functions for the prediction of self-compacting concrete (SCC) strength based on input…”
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