CFC-GAN: Forecasting road surface crack using forecasted crack generative adversarial network
A Sekar, V Perumal - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Forecasting the road surface crack images with given present crack images is an important
task to assist the road survivors in planning for their next lay down of road with the required …
task to assist the road survivors in planning for their next lay down of road with the required …
Automatic quantification of concrete cracks via multistage image filtration and trajectory-based local binarization
TT Yalew, KS Kim - Journal of Building Engineering, 2023 - Elsevier
Ensuring the structural integrity of civil infrastructure and maintaining public safety
necessitates accurate and reliable periodic inspection of cracks on concrete surfaces. Image …
necessitates accurate and reliable periodic inspection of cracks on concrete surfaces. Image …
Image Recognition of Pavement Cracks in Autonomous Driving Scenarios Based on Deep Learning
Q Liu, Z Liu - 2024 5th International Conference on Computer …, 2024 - ieeexplore.ieee.org
Pavement cracking represents the predominant form of defect encountered within
autonomous driving environments. With the advancement of deep learning technologies, an …
autonomous driving environments. With the advancement of deep learning technologies, an …
Hybrid modeling based on integrating simulation and operational data to improve indoor air temperature predictions, a controlled variable in digital twin models
To achieve net zero emissions in the building and construction sector, there is a growing
interest in how buildings can be digitalized to improve energy efficiency through optimal …
interest in how buildings can be digitalized to improve energy efficiency through optimal …