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[HTML][HTML] Review of advanced road materials, structures, equipment, and detection technologies
As a vital and integral component of transportation infrastructure, pavement has a direct and
tangible impact on socio-economic sustainability. In recent years, an influx of …
tangible impact on socio-economic sustainability. In recent years, an influx of …
An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil
In the recent times, the use of geosynthetic-reinforced soil (GRS) technology has become
popular for constructing safe and sustainable pavement structures. The strength of the …
popular for constructing safe and sustainable pavement structures. The strength of the …
Bayesian optimization based random forest and extreme gradient boosting for the pavement density prediction in GPR detection
The Ground penetrating radar (GPR) adopts non-destructive and continuous
electromagnetic (EM) monitoring technology that is influenced by the dielectric properties of …
electromagnetic (EM) monitoring technology that is influenced by the dielectric properties of …
Construction quality evaluation of asphalt pavement based on BIM and GIS
Construction quality evaluation is critical to guarantee the long-term performance of asphalt
pavement. Exiting evaluation approaches lag and limit the efficiency of quality control. To …
pavement. Exiting evaluation approaches lag and limit the efficiency of quality control. To …
Review of applications of artificial intelligence algorithms in pavement management
Y Xu, Z Zhang - Journal of Transportation Engineering, Part B …, 2022 - ascelibrary.org
With the continuous advancement in data-acquisition devices, computer vision techniques,
and machine-learning (ML) algorithms over the past decades, artificial intelligence (AI) …
and machine-learning (ML) algorithms over the past decades, artificial intelligence (AI) …
Cognitive-based crack detection for road maintenance: An integrated system in cyber-physical-social systems
Effective road maintenance can not only achieve a balance between limited resources and
long-term high-efficiency performance of road but also reduce the loss of life and property …
long-term high-efficiency performance of road but also reduce the loss of life and property …
[HTML][HTML] Evaluating and comparing machine learning approaches for effective decision making in renewable microgrid systems
This study addresses the critical issue of energy management in micro-grid (MG) systems
incorporating renewable energy sources and hydrogen storage. The research introduces an …
incorporating renewable energy sources and hydrogen storage. The research introduces an …
A novel approach for detection of pavement crack and sealed crack using image processing and salp swarm algorithm optimized machine learning
During the phase of periodic survey, sealed crack and crack in asphalt pavement surface
should be detected accurately. Moreover, the capability of identifying these two defects can …
should be detected accurately. Moreover, the capability of identifying these two defects can …
Suitability evaluation method for preventive maintenance of asphalt pavement based on interval-entropy weight-TOPSIS
Y Li, J Zhang, Y He, Z Li - Construction and Building Materials, 2023 - Elsevier
The preventive maintenance (PM) comprehensive evaluation model is developed to find the
optimal airport asphalt pavement PM project quickly, accurately and efficiently. By optimizing …
optimal airport asphalt pavement PM project quickly, accurately and efficiently. By optimizing …
Modelling of pavement performance evolution considering uncertainty and interpretability: A machine learning based framework
Machine learning (ML) based pavement performance models have gained increasing
popularity in recent years due to their strong power in modelling complex relationships …
popularity in recent years due to their strong power in modelling complex relationships …