Advanced and hybrid machine learning techniques for predicting compressive strength in palm oil fuel ash-modified concrete with SHAP analysis by Tariq Ali, Kennedy C. Onyelowe, Muhammad Sarmad Mahmood, Muhammad Zeeshan Qureshi, Nabil Ben Kahla, Aïssa REZZOUG, Ahmed deifalla

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Enhancing compressive strength prediction in self-compacting concrete using machine learning and deep learning techniques with incorporation of rice husk ash and marble powder by Muhammad Sarmad Mahmood, Ayub Elahi, Osama Zaid, Yasser Alashker, Adrian A. Șerbănoiu, Cătălina M. Grădinaru, Kiffayat Ullah, Tariq Ali

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Enhancing the engineering characteristics of sustainable recycled aggregate concrete using fly ash, metakaolin and silica fume by Mohammed Alamri, Tariq Ali, Hawreen Ahmed, Muhammad Zeeshan Qureshi, Asad Elmagarhe, Muhammad Adil Khan, Ali Ajwad, Muhammad Sarmad Mahmood

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Mechanical performance, water and chloride permeability of hybrid steel-polypropylene fiber-reinforced recycled aggregate concrete by Mohamed Hechmi El Ouni, Syed Haroon Ali Shah, Asif Ali, Shoaib Muhammad, Muhammad Sarmad Mahmood, Babar Ali, Riadh Marzouki, Ali Raza

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Generation of Highly Nonlinear and Dynamic AES Substitution-Boxes (S-Boxes) Using Chaos-Based Rotational Matrices by Muhammad Sarmad Mahmood Malik, Muhammad Asim Ali, Muhammad Asif Khan, Muhammad Ehatisham-Ul-Haq, Syed Nasir Mehmood Shah, Mobashar Rehman, Waqar Ahmad

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