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 …

Highly accurate and automatic semantic segmentation of multiple cracks in engineered cementitious composites (ECC) under dual pre-modification deep-learning …

Z Hao, C Lu, Z Li - Cement and Concrete Research, 2023 - Elsevier
Engineered cementitious composites (ECCs) are characterized by multiple cracking
behaviors, high tensile-strain capacity, and excellent crack-control ability. Representative …

Evolutionary computation modelling for structural health monitoring of critical infrastructure

CS Tumrate, DK Saini, P Gupta, D Mishra - Archives of Computational …, 2023 - Springer
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 …

[HTML][HTML] Application of artificial intelligence to evaluate the fresh properties of self-consolidating concrete

Y Feng, M Mohammadi, L Wang, M Rashidi, P Mehrabi - Materials, 2021 - mdpi.com
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 …

[HTML][HTML] Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms

A Khan, M Khan, M Ali, M Khan, AU Khan… - Case Studies in …, 2024 - Elsevier
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 …

Predicting bitcoin (BTC) price in the context of economic theories: A machine learning approach

S Erfanian, Y Zhou, A Razzaq, A Abbas, AA Safeer, T Li - Entropy, 2022 - mdpi.com
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 …

Integrated APC-GAN and AttuNet framework for automated pavement crack pixel-level segmentation: A new solution to small training datasets

T Zhang, D Wang, A Mullins, Y Lu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pavement crack segmentation using deep learning methods can improve crack
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

IH Kim, S Yoon, JH Lee, S Jung, S Cho, HJ Jung - Drones, 2022 - mdpi.com
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 …

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 …

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 …