[HTML][HTML] A convolutional neural network-VGG16 method for corrosion inhibition of 304SS in sulfuric acid solution by timoho leaf extract
A corrosion inhibition test, coupled with a quantification of in-situ H 2 evolution, can be used
to evaluate an organic inhibitor such as Timoho leaf extract (TLE). TLE is a biodegradable …
to evaluate an organic inhibitor such as Timoho leaf extract (TLE). TLE is a biodegradable …
[HTML][HTML] Multi-Level Optimisation of Feature Extraction Networks for Concrete Surface Crack Detection
With the increasing utilisation of deep learning (DL) for detecting and classifying distress in
concrete surfaces, the demand for accurate and precise models has risen. This study …
concrete surfaces, the demand for accurate and precise models has risen. This study …
[HTML][HTML] Quantitative characterization of surface defects on bridge cable based on improved YOLACT++
H Zhang, J He, X Jiang, Y Gong, T Hu, T Jiang… - Case Studies in …, 2024 - Elsevier
The safety and reliability of cables are directly linked to the safe operation of bridges as
crucial load-bearing components. The accuracy and efficiency of current methods are still …
crucial load-bearing components. The accuracy and efficiency of current methods are still …
[HTML][HTML] Visualization analysis of concrete crack detection in civil engineering infrastructure based on knowledge graph
W Chen, J Hou, Y Wang, M Yu - Case Studies in Construction Materials, 2024 - Elsevier
Civil engineering infrastructure (such as buildings, roads, and underground tunnels)
inevitably sustains varying degrees of damage over time, which can pose significant threats …
inevitably sustains varying degrees of damage over time, which can pose significant threats …
Identification and characteristic analysis of internal defects in rock-filled concrete based on deep learning method
T Ren, Y Zhang, T Yang, Q Chen, L Yu, G Wang… - Materials Today …, 2024 - Elsevier
The distribution characteristics and geometric morphology characteristics of defects within
RFC are important factors affecting the strength properties and rupture morphology of RFC …
RFC are important factors affecting the strength properties and rupture morphology of RFC …
[HTML][HTML] Deploying UAV-based detection of bridge structural deterioration with pilgrimage walk optimization-lite for computer vision
Bridges are crucial components of national infrastructure, requiring rigorous maintenance
and inspections to ensure their safety and functionality. Inspections are incredibly …
and inspections to ensure their safety and functionality. Inspections are incredibly …
Simulation of Fracture Process of Lightweight Aggregate Concrete Based on Digital Image Processing Technology.
S Al-sayed, X Wang, Y Peng - Computers, Materials & …, 2024 - search.ebscohost.com
The mechanical properties and failure mechanism of lightweight aggregate concrete
(LWAC) is a hot topic in the engineering field, and the relationship between its …
(LWAC) is a hot topic in the engineering field, and the relationship between its …
[HTML][HTML] Improvement of crack detectivity for concrete surface of subway tunnels with anti-corrosion coatings using deep learning and image processing
Q Du, Q Jiang - Case Studies in Construction Materials, 2025 - Elsevier
The long-term survivability of subway tunnels heavily depends on the durability and stability
of concrete structures. Cracks in concrete, caused by factors such as severe loading …
of concrete structures. Cracks in concrete, caused by factors such as severe loading …
[HTML][HTML] Automatic classification of fungal-fungal interactions using deep leaning models
Fungi provide valuable solutions for diverse biotechnological applications, such as enzymes
in the food industry, bioactive metabolites for healthcare, and biocontrol organisms in …
in the food industry, bioactive metabolites for healthcare, and biocontrol organisms in …
Automated Geometric Quantification of Building Exterior Wall Cracks Based on Computer Vision
Crack detection methods of high-rise building walls based on traditional computer vision
(CV) heavily rely on manual selection and extraction of design features. Convolutional …
(CV) heavily rely on manual selection and extraction of design features. Convolutional …