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Polymers|November 26, 2022
A Critical Review on the Feasibility of Synthetic Polymers Inclusion in Enhancing the Geotechnical Behavior of SoilsAbdullah Almajed, Kehinde Lemboye, Arif Ali Baig Moghal
Materials (Basel, Switzerland)|March 11, 2023
Sustainable Binary Blending for Low-Volume Roads-Reliability-Based Design Approach and Carbon Footprint AnalysisGudla Amulya, Arif Ali Baig Moghal, Abdullah Almajed
Materials (Basel, Switzerland)|April 3, 2021
Response Surface Method Analysis of Chemically Stabilized Fiber-Reinforced SoilAbdullah Almajed, Dinesh Srirama, Arif Ali Baig Moghal
Polymers|January 25, 2025
Microbial-Derived Biopolymers: A Pathway to Sustainable Civil EngineeringGovindarajan Kannan, Evangelin Ramani Sujatha, Abdullah Almajed, et al.
Scientific Reports|June 20, 2024
Target reliability-based design optimization studies on cohesive soil amended with chitosan and casein for liner applicationsRomana Mariyam Rasheed, Arif Ali Baig Moghal, B Munwar Basha, et al.
Polymers|October 16, 2024
Efficacy of Acacia Gum Biopolymer in Strength Improvement of Silty and Clay Soils under Varying Curing ConditionsMuralidaran Vishweshwaran, Evangelin Ramani Sujatha, Ateekh Ur Rehman, et al.
Scientific Reports|April 12, 2025
Enhancing durability and erosion resistance of soils with varying plasticity using crosslinked biopolymersM Ashok Kumar, Arif Ali Baig Moghal, Romana Mariyam Rasheed, et al.
Materials (Basel, Switzerland)|July 2, 2021
Effect of Confining Conditions on the Hydraulic Conductivity Behavior of Fiber-Reinforced Lime Blended Semiarid SoilAbdullah Ali Shaker, Mosleh Ali Al-Shamrani, Arif Ali Baig Moghal, et al.
Scientific Reports|August 22, 2024
Numerical model of debris flow susceptibility using slope stability failure machine learning prediction with metaheuristic techniques trained with different algorithmsKennedy C Onyelowe, Arif Ali Baig Moghal, Furquan Ahmad, et al.
Scientific Reports|July 3, 2024
Estimating the strength of soil stabilized with cement and lime at optimal compaction using ensemble-based multiple machine learningKennedy C Onyelowe, Arif Ali Baig Moghal, Ahmed Ebid, et al.
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