Author

M. H. R. Sobuz

h-index 18 View on Semantic Scholar

We have 3 of 42 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

Innovative development of an advanced machine learning modeling for predicting compressive strength of graphene-infused concrete: a SHAP and PDP approach

The quasi-brittle response of cementitious materials continues to limit their structural efficiency, necessitating advanced reinforcement strategies. While conventional fibers improve mechanical performance, the emergence of graphene-based nanomaterials offers new opportunities to tailor interfacial interactions and en...

A. Alzlfawi, M. H. R. Sobuz, Md. Kawsarul Islam Kabbo et al. · Scientific Reports · 0 citations

Review Nov 2026

Precision Assessment of Data-Driven Supervised Machine-Learning Models for Predicting Compressive Strength of Sustainable Waste Foundry Sand Concrete

The rapid rate of urbanization and industrialization has driven the excessive use of natural resources like river sand and gravel, raising significant sustainability concerns. Waste foundry sand (WFS), a discarded by-product of ferrous and nonferrous metal casting industries, offers a promising substitute for natur...

M. H. R. Sobuz, Md. Kawsarul Islam Kabbo, A. Alzlfawi et al. · Journal of Structural Design... · 0 citations

Open access 2026

Quantifying the compressive strength of basalt fiber reinforced concrete using advanced hybrid machine learning models

ABSTRACT Basalt Fiber Reinforced Concrete (BFRC) is being recognized as an eco-friendly advanced material with reduced environmental footprint, higher mechanical performance and long-term durability. However, its compressive strength prediction still appears to be a difficult problem due to the nonlinearity caused by t...

Ibrahim Y. Hakeem, Abdullah Alzlfawi, M. H. R. Sobuz et al. · Matéria · 0 citations