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Babatunde Abiodun Salami

Showing results (1-10 of 13) with videos related to

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Scientific Reports|December 27, 2024
Global big data laboratory experiment, integrated with kernel-based algorithm with an improved nonlinear ensemble for compressive strength modelingBabatunde Abiodun Salami, Jamilu Usman, Afeez Gbadamosi, et al.
Materials (Basel, Switzerland)|May 28, 2022
Compressive Strength Estimation of Fly Ash/Slag Based Green Concrete by Deploying Artificial Intelligence ModelsKaffayatullah Khan, Babatunde Abiodun Salami, Mudassir Iqbal, et al.
Environmental Science and Pollution Research International|October 6, 2022
Engineered and green natural pozzolan-nano silica-based alkali-activated concrete: shrinkage characteristics and life cycle assessmentBabatunde Abiodun Salami, Mohammed Ibrahim, Mohammed A Al-Osta, et al.
Materials (Basel, Switzerland)|June 24, 2022
Prediction of Strength and CBR Characteristics of Chemically Stabilized Coal Gangue: ANN and Random Forest Tree ApproachMuhammad Nasir Amin, Mudassir Iqbal, Mohammed Ashfaq, et al.
Environmental Science and Pollution Research International|April 5, 2022
Technological trends in nanosilica synthesis and utilization in advanced treatment of water and wastewaterBabatunde Abiodun Salami, Tajudeen Adeyinka Oyehan, Yahya Gambo, et al.
Environmental Monitoring and Assessment|August 14, 2025
Advances in adsorbent materials for heavy metals remediation: a roadmap for sustainabilityMohammed Muktar Nono, Alaa El Din Mahmoud, Sagir Adamu, et al.
Materials (Basel, Switzerland)|October 23, 2021
Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting AssessmentHassan Amer Algaifi, Mohammad Iqbal Khan, Shahiron Shahidan, et al.
Polymers|June 10, 2022
Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction ModelsKaffayatullah Khan, Mudassir Iqbal, Babatunde Abiodun Salami, et al.
Polymers|November 11, 2022
Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH AnalysisMuhammad Nasir Amin, Babatunde Abiodun Salami, Muhammad Zahid, et al.
Polymers|June 12, 2026
Correction: Khan et al. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. <i>Polymers</i> 2022, <i>14</i>, 2270Kaffayatullah Khan, Mudassir Iqbal, Babatunde Abiodun Salami, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Scientific Reports|December 27, 2024
Global big data laboratory experiment, integrated with kernel-based algorithm with an improved nonlinear ensemble for compressive strength modelingBabatunde Abiodun Salami, Jamilu Usman, Afeez Gbadamosi, et al.
Materials (Basel, Switzerland)|May 28, 2022
Compressive Strength Estimation of Fly Ash/Slag Based Green Concrete by Deploying Artificial Intelligence ModelsKaffayatullah Khan, Babatunde Abiodun Salami, Mudassir Iqbal, et al.
Environmental Science and Pollution Research International|October 6, 2022
Engineered and green natural pozzolan-nano silica-based alkali-activated concrete: shrinkage characteristics and life cycle assessmentBabatunde Abiodun Salami, Mohammed Ibrahim, Mohammed A Al-Osta, et al.
Materials (Basel, Switzerland)|June 24, 2022
Prediction of Strength and CBR Characteristics of Chemically Stabilized Coal Gangue: ANN and Random Forest Tree ApproachMuhammad Nasir Amin, Mudassir Iqbal, Mohammed Ashfaq, et al.
Environmental Science and Pollution Research International|April 5, 2022
Technological trends in nanosilica synthesis and utilization in advanced treatment of water and wastewaterBabatunde Abiodun Salami, Tajudeen Adeyinka Oyehan, Yahya Gambo, et al.
Environmental Monitoring and Assessment|August 14, 2025
Advances in adsorbent materials for heavy metals remediation: a roadmap for sustainabilityMohammed Muktar Nono, Alaa El Din Mahmoud, Sagir Adamu, et al.
Materials (Basel, Switzerland)|October 23, 2021
Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting AssessmentHassan Amer Algaifi, Mohammad Iqbal Khan, Shahiron Shahidan, et al.
Polymers|June 10, 2022
Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction ModelsKaffayatullah Khan, Mudassir Iqbal, Babatunde Abiodun Salami, et al.
Polymers|November 11, 2022
Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH AnalysisMuhammad Nasir Amin, Babatunde Abiodun Salami, Muhammad Zahid, et al.
Polymers|June 12, 2026
Correction: Khan et al. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. <i>Polymers</i> 2022, <i>14</i>, 2270Kaffayatullah Khan, Mudassir Iqbal, Babatunde Abiodun Salami, et al.
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