[HTML][HTML] Concrete compressive strength prediction using an explainable boosting machine model

G Liu, B Sun - Case Studies in Construction Materials, 2023 - Elsevier
The mixing ratio of the raw materials has a significant impact on concrete compressive
strength. Although the compressive strength of concrete can be inferred from the mix ratio, it …

Quantifying the effects of urban fabric and vegetation combination pattern to mitigate particle pollution in near-road areas using machine learning

X Liu, XQ Shi, ZR Peng, HD He - Sustainable Cities and Society, 2023 - Elsevier
There are many intertwined factors such as urban fabric, vegetation combination, and
meteorological conditions that influence the spatial distribution of fine particles (PM 2.5 …

[HTML][HTML] The Relationship between Green Infrastructure and Air Pollution, History, Development, and Evolution: A Bibliometric Review

J Liao, HY Kim - Sustainability, 2024 - mdpi.com
In response to the challenge of atmospheric pollution posed by growing environmental
problems, this study reviews and analyzes the research status and development trends of …

Quantifying and predicting air quality on different road types in urban environments using mobile monitoring and automated machine learning

C Miao, ZR Peng, A Cui, X He, F Chen, K Lu… - Atmospheric Pollution …, 2024 - Elsevier
Traffic emissions are a primary source of air pollution in urban areas, with air quality being
influenced by different types of roads characterized by varying traffic volumes and speeds …

Spatial distribution of air pollutants in different urban functional zones based on mobile monitoring and CFD simulation

Y Liu, C Miao, A Cui, D Wang - International Journal of Environmental …, 2024 - Springer
Examining the spatial distribution of air pollutants across urban functional areas helps to
identify pollution hotspots, evaluate the impact of air pollution, and provide a scientific basis …

Evaluation of CO2 and NOx emissions from container diesel trucks using a portable emissions measurement system

H Zhao, D Lu, D Zhou, C Lu, X Fang, Z Peng - Building and Environment, 2024 - Elsevier
Vehicle emission has been regarded to the major source of air pollution in urban area.
Especially, the emissions originating from container diesel trucks (CDTs) constitute a …

[HTML][HTML] Exploring the interrelationships between composition, rheology, and compressive strength of self-compacting concrete: An exploration of explainable boosting …

S Wahab, BA Salami, AH AlAteah… - Case Studies in …, 2024 - Elsevier
This study introduces a novel methodology for enhancing the compressive strength of self-
compacting concrete (SCC) via the use of the Explainable Boosting Machine (EBM), a …

[HTML][HTML] Analyzing the Relationship between Green Infrastructure and Air Quality Issues—South Korean Cases

J Liao, HY Kim - Land, 2024 - mdpi.com
In recent years, with the sustained attention from academia and media to urban air quality
and environmental issues, governments and scholars worldwide have been devoted to …

Electric bus fleet transition: assessment approach considering economic and environmental impacts, and its application

Z Ye, Z Huang, S Yang, Y Du, H Zhao - Smart Construction and …, 2024 - Springer
In our society, global warming is considered one of the most serious problems. According to
scientists, the world has been warmed by 3 degrees per year, which will be catastrophic to …

[PDF][PDF] Case Studies in Construction Materials,(2024)

S Wahab, BA Salami, AH AlAteah, MMH Al-Tholaia… - researchgate.net
This study introduces a novel methodology for enhancing the compressive strength of
selfcompacting concrete (SCC) via the use of the Explainable Boosting Machine (EBM), a …