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Review of intelligent road defects detection technology
Y Zhou, X Guo, F Hou, J Wu - Sustainability, 2022 - mdpi.com
Road defects are important factors affecting traffic safety. In order to improve the
identification efficiency of road diseases and the pertinence of maintenance and …
identification efficiency of road diseases and the pertinence of maintenance and …
Highly accurate and automatic semantic segmentation of multiple cracks in engineered cementitious composites (ECC) under dual pre-modification deep-learning …
Engineered cementitious composites (ECCs) are characterized by multiple cracking
behaviors, high tensile-strain capacity, and excellent crack-control ability. Representative …
behaviors, high tensile-strain capacity, and excellent crack-control ability. Representative …
Evolutionary computation modelling for structural health monitoring of critical infrastructure
Monitoring of critical infrastructure for Structural Health Monitoring (SHM) is vital for the
detection of structural damage (cracks or voids) at an initial stage, thus increasing the …
detection of structural damage (cracks or voids) at an initial stage, thus increasing the …
[HTML][HTML] Application of artificial intelligence to evaluate the fresh properties of self-consolidating concrete
This paper numerically investigates the required superplasticizer (SP) demand for self-
consolidating concrete (SCC) as a valuable information source to obtain a durable SCC. In …
consolidating concrete (SCC) as a valuable information source to obtain a durable SCC. In …
[HTML][HTML] Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms
There has been increasing growth in incorporating fly ash as a supplementary cementitious
material in concrete mixtures due to its potential to enhance the durability and strength …
material in concrete mixtures due to its potential to enhance the durability and strength …
Predicting bitcoin (BTC) price in the context of economic theories: A machine learning approach
Bitcoin (BTC)—the first cryptocurrency—is a decentralized network used to make private,
anonymous, peer-to-peer transactions worldwide, yet there are numerous issues in its …
anonymous, peer-to-peer transactions worldwide, yet there are numerous issues in its …
Integrated APC-GAN and AttuNet framework for automated pavement crack pixel-level segmentation: A new solution to small training datasets
Pavement crack segmentation using deep learning methods can improve crack
segmentation accuracy, but in many cases the training dataset is lacking or uneven, making …
segmentation accuracy, but in many cases the training dataset is lacking or uneven, making …
A comparative study of bridge inspection and condition assessment between manpower and a UAS
As the number of old bridges increases, the number of bridges with structural defects is also
increasing. Timely inspection and maintenance of bridges are required because structural …
increasing. Timely inspection and maintenance of bridges are required because structural …
Data and decision level fusion-based crack detection for compressor blade using acoustic and vibration signal
D Song, T Ma, Y Li, F Xu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Crack detection is important for compressor blades. Due to the interference of strong noise,
the existing methods based on single signal reach unsatisfactory performance. To improve …
the existing methods based on single signal reach unsatisfactory performance. To improve …
End-to-end concrete appearance analysis based on pixel-wise semantic segmentation and CIE Lab
Z Hao, X Qi - Cement and Concrete Research, 2022 - Elsevier
The traditional expert-on-site acceptance method has been unable to meet the need of
intellectualization of modern concrete industry. The cutting-edge achievements in the field of …
intellectualization of modern concrete industry. The cutting-edge achievements in the field of …