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Mussa Umali
Observed name:
Umali, Mussa
Institution:
The Catholic University of Malawi
Observed institution:
The Catholic University of Malawi
ORCID:
0009-0001-4344-3544
Observed ORCID:
0009-0001-4344-3544
OpenAlex ID:
A5122795091
Interpretable machine learning for predicting reinforced concrete beam column joint shear strength
2026
·
Qaim Shah
, Irfan Ullah
, et al.
·
Discover Civil Engineering
·
18
PDF
Explainable and comparative machine learning models for punching shear prediction in reinforced concrete flat slabs
2026
·
Qaim Shah
, Irfan Ullah
, et al.
·
Multiscale and Multidisciplinary Modeling Experiments and Design
·
18
PDF
Machine learning approach for water quality analysis
2026
·
Waheed Ali Khoso
, Muhammad Faisal Javed
, et al.
·
Discover Water
·
7
Explainable ensemble learning framework for bond strength prediction in 3D printed concrete structures
2026
·
Qaim Shah
, Waheed Ali Khoso
, et al.
·
Discover Artificial Intelligence
·
4
Machine learning based prediction and analysis of bond strength between steel reinforcement and geopolymer concrete under cyclic loading for seismic applications: a review
2026
·
Qaim Shah
, Waheed Ali Khoso
, et al.
·
Journal of Infrastructure Preservation and Resilience
·
4
Batch adsorption study of microplastic removal using synthesized nickel-ferrite nanoparticles
2026
·
Waheed Ali Khoso
, Qaim Shah
, et al.
·
Discover Hazards
·
2
PDF
Assessing the impacts of solid waste management in the context of corporate social responsibility and the circular economy
2026
·
Sobia Iqbal
, Manzoor Ahmed Sanjrani
, et al.
·
Scientific Reports
PDF
Assessment of land-use and land-cover changes impacts on land surface temperature using remote sensing and GIS: a case study of Kohat District, Pakistan (2015–2025)
2026
·
Waheed Ali Khoso
, Rukhshanda Rehman
, et al.
·
Journal of Water and Climate Change
PDF
Urban Flood Risk Evaluation in Charsadda District, Pakistan Using AHP and Geospatial Methods
2026
·
Khoso, Waheed Ali
, Rehman, Rukhshanda
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
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Works count:
9
Citation count:
53
H-index:
4
I10-index:
2
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