[HTML][HTML] A convolutional neural network-VGG16 method for corrosion inhibition of 304SS in sulfuric acid solution by timoho leaf extract

F Gapsari, F Utaminingrum, CW Lai, K Anam… - Journal of Materials …, 2024 - Elsevier
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 …

[HTML][HTML] Multi-Level Optimisation of Feature Extraction Networks for Concrete Surface Crack Detection

F Elghaish, S Matarneh, FP Rahimian… - Developments in the …, 2024 - Elsevier
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 …

[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 …

[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 …

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 …

[HTML][HTML] Deploying UAV-based detection of bridge structural deterioration with pilgrimage walk optimization-lite for computer vision

JS Chou, CY Liu, PJ Guo - Case Studies in Construction Materials, 2024 - Elsevier
Bridges are crucial components of national infrastructure, requiring rigorous maintenance
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 …

[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 …

[HTML][HTML] Automatic classification of fungal-fungal interactions using deep leaning models

M Mansourvar, J Funk, SD Petersen, S Tavakoli… - Computational and …, 2024 - Elsevier
Fungi provide valuable solutions for diverse biotechnological applications, such as enzymes
in the food industry, bioactive metabolites for healthcare, and biocontrol organisms in …

Automated Geometric Quantification of Building Exterior Wall Cracks Based on Computer Vision

R Cai, J Li, Y Tan, W Shou, A Butera - Journal of Performance of …, 2024 - ascelibrary.org
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 …