Md Kawsarul Islam Kabbo - JoVE Visualize

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Scientific Reports|June 29, 2026

Performance measurement of experimentally validated machine learning algorithms to predict compressive strength of sustainable concrete using GGBFS and rice husk ashAbdullah Alzlfawi, Md Habibur Rahman Sobuz, Md Kawsarul Islam Kabbo, et al.

Scientific Reports|July 10, 2026

Optimization and predictive measurement of compressive strength of iron ore slag modified concrete using data-driven supervised machine learning algorithmsMd Habibur Rahman Sobuz, Md Kawsarul Islam Kabbo, Abdullah Alzlfawi, et al.

Scientific Reports|May 2, 2026

Hybrid Machine learning-based modeling to predict and optimize the compressive strength of electric arc furnace slag-modified concreteMd Alhaz Uddin, Md Habibur Rahman Sobuz, Md Kawsarul Islam Kabbo, et al.

Scientific Reports|July 9, 2026

Mechanical assessment with data-driven hybrid machine learning-based optimization of compressive strength of sustainable biochar-concrete compositeMd Alhaz Uddin, Md Habibur Rahman Sobuz, Mohamed Ghalla, et al.

Scientific Reports|June 19, 2026

Optimizing the mechanical performance of sustainable industrial waste modified concrete using supervised machine learning modeling and feature importance analysisMohamed AbdelMongy, Md Alhaz Uddin, Md Habibur Rahman Sobuz, et al.

Scientific Reports|May 7, 2026

Microstructural and mechanical characteristics evaluation of alkali-activated slag concrete and optimize with supervised hybrid machine learning modelingMd Kawsarul Islam Kabbo, Md Habibur Rahman Sobuz, Prince Paul, et al.

Scientific Reports|July 20, 2025

Predicting the mechanical performance of industrial waste incorporated sustainable concrete using hybrid machine learning modeling and parametric analysesMd Alhaz Uddin, Md Habibur Rahman Sobuz, Md Kawsarul Islam Kabbo, et al.

Scientific Reports|May 8, 2026

Evaluate the compressive strength of fiber-reinforced geopolymer concrete incorporating ground granulated blast furnace slag with machine learning approachMd Habibur Rahman Sobuz, Md Kawsarul Islam Kabbo, Samir Mazumder, et al.

Heliyon|December 4, 2023

Eco-friendly concrete incorporating palm oil fuel ash: Fresh and mechanical properties with machine learning prediction, and sustainability assessmentNoor Md Sadiqul Hasan, Md Habibur Rahman Sobuz, Nur Mohammad Nazmus Shaurdho, et al.

Heliyon|March 25, 2024

Optimization of recycled rubber self-compacting concrete: Experimental findings and machine learning-based evaluationMd Habibur Rahman Sobuz, Limon Paul Joy, Abu Sayed Mohammad Akid, et al.

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

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Pageof 1

Scientific Reports|June 29, 2026

Performance measurement of experimentally validated machine learning algorithms to predict compressive strength of sustainable concrete using GGBFS and rice husk ashAbdullah Alzlfawi, Md Habibur Rahman Sobuz, Md Kawsarul Islam Kabbo, et al.

Scientific Reports|July 10, 2026

Optimization and predictive measurement of compressive strength of iron ore slag modified concrete using data-driven supervised machine learning algorithmsMd Habibur Rahman Sobuz, Md Kawsarul Islam Kabbo, Abdullah Alzlfawi, et al.

Scientific Reports|May 2, 2026

Hybrid Machine learning-based modeling to predict and optimize the compressive strength of electric arc furnace slag-modified concreteMd Alhaz Uddin, Md Habibur Rahman Sobuz, Md Kawsarul Islam Kabbo, et al.

Scientific Reports|July 9, 2026

Mechanical assessment with data-driven hybrid machine learning-based optimization of compressive strength of sustainable biochar-concrete compositeMd Alhaz Uddin, Md Habibur Rahman Sobuz, Mohamed Ghalla, et al.

Scientific Reports|June 19, 2026

Optimizing the mechanical performance of sustainable industrial waste modified concrete using supervised machine learning modeling and feature importance analysisMohamed AbdelMongy, Md Alhaz Uddin, Md Habibur Rahman Sobuz, et al.

Scientific Reports|May 7, 2026

Microstructural and mechanical characteristics evaluation of alkali-activated slag concrete and optimize with supervised hybrid machine learning modelingMd Kawsarul Islam Kabbo, Md Habibur Rahman Sobuz, Prince Paul, et al.

Scientific Reports|July 20, 2025

Predicting the mechanical performance of industrial waste incorporated sustainable concrete using hybrid machine learning modeling and parametric analysesMd Alhaz Uddin, Md Habibur Rahman Sobuz, Md Kawsarul Islam Kabbo, et al.

Scientific Reports|May 8, 2026

Evaluate the compressive strength of fiber-reinforced geopolymer concrete incorporating ground granulated blast furnace slag with machine learning approachMd Habibur Rahman Sobuz, Md Kawsarul Islam Kabbo, Samir Mazumder, et al.

Heliyon|December 4, 2023

Eco-friendly concrete incorporating palm oil fuel ash: Fresh and mechanical properties with machine learning prediction, and sustainability assessmentNoor Md Sadiqul Hasan, Md Habibur Rahman Sobuz, Nur Mohammad Nazmus Shaurdho, et al.

Heliyon|March 25, 2024

Optimization of recycled rubber self-compacting concrete: Experimental findings and machine learning-based evaluationMd Habibur Rahman Sobuz, Limon Paul Joy, Abu Sayed Mohammad Akid, et al.

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