VAGen: waterbody segmentation with prompting for visual in-context learning.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00042-6
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- Publication type:
- Article
Works matching IS 20970943 AND DT 2024 AND VI 3 AND IP 1
Results: 21
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Extensible portal frame bridge synthetic dataset for structural semantic segmentation.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00041-7
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- Publication type:
- Article
3
Prediction of compressive strength of nano silica and micro silica from rice husk ash using multivariate regression models.
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- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00043-5
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- Article
4
An improved prediction of high-performance concrete compressive strength using ensemble models and neural networks.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00040-8
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- Publication type:
- Article
5
Prediction of crippling load of I-shaped steel columns by using soft computing techniques.
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- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00038-2
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- Publication type:
- Article
6
The effect of geotechnical soil properties on cbr value: review.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00039-1
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- Publication type:
- Article
7
Localization of underground pipeline intrusion sources using cross-correlation CNN: application in pile-driving model test.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00037-3
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- Publication type:
- Article
8
Usages of metaheuristic algorithms in investigating civil infrastructure optimization models; a review.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00036-4
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- Publication type:
- Article
9
Optimizing the bituminous pavement constructions with waste plastic materials improved the road constructions performance and their future applications.
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- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00035-5
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- Publication type:
- Article
10
Evaluating fine tuned deep learning models for real-time earthquake damage assessment with drone-based images.
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- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00034-6
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- Publication type:
- Article
11
Application of machine learning in predicting mechanical properties of sandcrete blocks made from quarry dust: a review.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00033-7
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- Publication type:
- Article
12
Enhancing structural stability in civil structures using the bi-directional evolutionary structural optimization method.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00031-9
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- Publication type:
- Article
13
A stacking machine learning model for predicting pullout capacity of small ground anchors.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00032-8
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- Publication type:
- Article
14
Efficient machine learning model for settlement prediction of large diameter helical pile in c—Φ soil.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00028-4
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- Publication type:
- Article
15
Application of bi-directional evolutionary structural optimization to the design of an innovative pedestrian bridge.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00027-5
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- Publication type:
- Article
16
Mechanical characteristics of auxetic composite honeycomb sandwich structure under bending.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00026-6
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- Publication type:
- Article
17
Study on the use of different machine learning techniques for prediction of concrete properties from their mixture proportions with their deterministic and robust optimisation.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00024-8
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- Publication type:
- Article
18
aiWATERS: an artificial intelligence framework for the water sector.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00025-7
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- Publication type:
- Article
19
A preliminary investigation on enabling digital twin technology for operations and maintenance of urban underground infrastructure.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00021-x
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- Publication type:
- Article
20
Prediction and design of mechanical properties of origami-inspired braces based on machine learning.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00022-w
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- Publication type:
- Article
21
Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load.
- Published in:
- AI in Civil Engineering, 2024, v. 3, n. 1, p. 1, doi. 10.1007/s43503-024-00020-y
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- Publication type:
- Article