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[HTML][HTML] Review of intelligent road defects detection technology
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 …
Synthesized evaluation of reinforced concrete bridge defects, their non-destructive inspection and analysis methods: a systematic review and bibliometric analysis of …
Defects are essential indicators to gauge the structural integrity and safety of reinforced
concrete bridges. Non-destructive inspection has been pervasively explored over the last …
concrete bridges. Non-destructive inspection has been pervasively explored over the last …
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 …
[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 …
[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 …
Pixel-level concrete bridge crack detection using Convolutional Neural Networks, gabor filters, and attention mechanisms
Cracks are prominent defects that significantly impact concrete bridges' structural safety and
serviceability assessments. The conventional manual bridge inspection is often limited by …
serviceability assessments. The conventional manual bridge inspection is often limited by …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
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 …