The use of decision tree based predictive models for improving the culvert inspection process

C Gao, H Elzarka - Advanced Engineering Informatics, 2021 - Elsevier
Culverts are important components of a roadway and should be properly maintained to
ensure adequate road surface drainage and public safety. Culvert maintenance greatly …

Empirical data-based condition prediction for stormwater pipelines with machine learning

J Qi, M Smith, N Barclay - SoutheastCon 2022, 2022 - ieeexplore.ieee.org
Aging compounded with the urbanization encroachment and economic pressures have
rendered underground infrastructure a great challenge to municipal agencies in terms of …

Data engineering for predictive machine learning of stormwater infrastructure conditions

N Roberts, M Smith, J Qi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Culverts are stormwater structures that require ongoing condition assessment and proactive
maintenance for optimal performance to reduce flooding, especially in urban areas …

Predicting culvert deterioration using physical and environmental time-independent variables

M Stoner, W Pang, K Piratla - Journal of Pipeline Systems …, 2019 - ascelibrary.org
Given a vast inventory of culverts with different physical and environmental characteristics,
the task of condition assessment can become difficult or impossible. Using a database of …

Prediction of O3 in the respiratory system of children using the artificial neural network model and with selection of input based on gamma test, Ahvaz, Iran

Z Ghaedrahmat, M Vosoughi… - … Science and Pollution …, 2019 - Springer
In recent years, concerns over the issue of air pollution have increased as one of the
significant environmental and health problems. Air pollutants can be toxic or harmful to the …

Machine Learning and Statistical Test–Based Culvert Condition Impact Factor Analysis

C Gao, Z Li, H Elzarka, H Yan… - Advances in Civil …, 2024 - Wiley Online Library
For managers of road infrastructure, culvert deterioration is a major concern since culvert
failures can cause serious risks to the traveling public. The efficiency of the cost‐and labor …

Use of Data Analytics and Machine Learning to Improve Culverts Asset Management Systems

C Gao - 2019 - search.proquest.com
Culverts play an important role in the road drainage system. They are crucial to traffic safety
because culvert failures are normally followed by pavement failures which directly put the …

Best practices for assessing culvert health and determining appropriate rehabilitation methods: a research project in support of operational requirements for the South …

KR Piratla, W Pang, H Jin, M Stoner - 2016 - rosap.ntl.bts.gov
Due to the invisibility of buried culverts from the surface, they often get ignored until a
problem such as road settlement or flooding arises. Many of the existing culverts in the US …

Data-Driven Analytics Tools to Support Prioritized Management of Stormwater Infrastructure

N Barclay, M Smith, J Qi - 2023 - repository.lib.ncsu.edu
Maintenance of aging underground infrastructure compounded with urbanization
encroachment and economic pressures have caused a number of challenges for municipal …

[PDF][PDF] Evaluating Concrete Strength Under Various Curing Conditions Using Artificial Neural Networks

M Al-Gburi, A Almssad, OI Al-Zuhairi - sciendo.com
This study examines the impact of different curing methods on the compressive strength of
concrete. It investigates techniques such as air curing, periodic water spraying, full water …