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Computer-Aided Civil and Infrastructure Engineering
Scopus
ISSN 1093-9687 · Wiley · 5 artikel di indeks
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Artikel Jurnal Teks lengkap
Efficient training of physics‐informed neural networks via importance sampling
Physics-informed neural networks (PINNs) are a class of deep neural networks that are trained, using automatic differentiation, to compute the response of systems governed by partial differential equations (PDEs). The training of PINNs is simulation free, and does not require any training data set…
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Artikel Jurnal
Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
A connected autonomous vehicle (CAV) network can be defined as a set of connected vehicles including CAVs that operate on a specific spatial scope that may be a road network, corridor, or segment. The spatial scope constitutes an environment where traffic information is shared and instructions are…
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Artikel Jurnal
Automated pavement crack detection and segmentation based on two-step convolutional neural network
Cracking is a common pavement distress that would cause further severe problems if not repaired timely, which means that it is important to accurately extract the information of pavement cracks through detection and segmentation. Automated pavement crack detection and segmentation using deep…
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Artikel Jurnal
Generative adversarial network for road damage detection
Machine learning can produce promising results when sufficient training data are available; however, infrastructure inspections typically do not provide sufficient training data for road damage. Given the differences in the environment, the type of road damage and the degree of its progress can…
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Artikel Jurnal Teks lengkap
Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine
Automated crack detection based on image processing is widely used when inspecting concrete structures. The existing methods for crack detection are not yet accurate enough due to the difficulty and complexity of the problem; thus, more accurate and practical methods should be developed. This paper…