MACHINE LEARNING FOR CRACK DETECTION ON CONCRETE STRUCTURES BY VSS

Language: English

Published by Omniscriptum, LAP Lambert Academic Publishing, 2025

6208451485 / 9786208451486

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

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This item is printed on demand - it takes 3-4 days longer - Neuware -Concrete structures and the associated cracking represent a persistent challenge within the fields of construction and civil engineering, a dilemma that has persisted for decades. Generally, cracks arise from the expansion and contraction of materials, which can lead to various forms of damage within buildings. Engineers typically address these damages and irregularities through manual inspections or by employing predictive models developed using machine learning techniques, thereby facilitating a comprehensive assessment of the structural health of the edifices. This research aims to implement tools such as the VGG 16 network model alongside other machine learning methodologies to identifycracks in concrete structures. We propose a model that integrates Convolutional Neural Networks (CNN) with a VGG-based architecture. For image processing and segmentation, we have employed the gradient boosting algorithm. The datasets utilized in this study were sourced from the Kaggle platform, and the Hugging Face Transformers library was leveraged for implementation. To assess the performance of the developed models, metrics including precision, accuracy, recall, and F1 score were employed. 88 pp. Englisch.…

Seller Inventory # 9786208451486

Title
MACHINE LEARNING FOR CRACK DETECTION ON CONCRETE STRUCTURES BY VSS
Author
A.H.L Swaroop
Publisher
Omniscriptum, LAP Lambert Academic Publishing
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6208451485
ISBN 13
9786208451486
Dimensions
220x150x33 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

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