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Muhammad Zeshan Akber

Hong Kong University of Science & Technology (HKUST)

SCHOLARLY PAPERS

2

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171

TOTAL CITATIONS

1

Scholarly Papers (2)

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1.

Predicting the Slump of Industrially Produced Concrete from Mixture Proportions: Insights from Statistical Analysis, Data Visualization and Machine Learning

Number of pages: 31 Posted: 29 Jan 2022
Xueqing Zhang, Muhammad Zeshan Akber and Wei Zheng
Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST) and affiliation not provided to SSRN
Downloads 114 (669,616)
Citation 1

Abstract:

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Slump, mixture design, Predictive modeling, Machine learning, Multi-classification

2.

Predicting the 28-Day Compressive Strength by Mix Proportions: Insights from a Large Number of Observations of Industrially Produced Concrete

Number of pages: 32 Posted: 13 Mar 2023
Xueqing Zhang, Muhammad Zeshan Akber, Chi-sun Poon and Wei Zheng
Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong Polytechnic University and affiliation not provided to SSRN
Downloads 57 (989,921)

Abstract:

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Industrially produced concrete, compressive strength, Machine learning, variable importance analysis, data visualization, mix design