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Advancing towards semi-automatic labeling of GPR images to improve visualizations of pipes and leaks in water distribution networks using multi-agent systems and machine learning techniques

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Advancing towards semi-automatic labeling of GPR images to improve visualizations of pipes and leaks in water distribution networks using multi-agent systems and machine learning techniques

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Stanton, G.; Ayala-Cabrera, D. (2024). Advancing towards semi-automatic labeling of GPR images to improve visualizations of pipes and leaks in water distribution networks using multi-agent systems and machine learning techniques. Editorial Universitat Politècnica de València. https://doi.org/10.4995/WDSA-CCWI2022.2022.14127

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/205933

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Title: Advancing towards semi-automatic labeling of GPR images to improve visualizations of pipes and leaks in water distribution networks using multi-agent systems and machine learning techniques
Author: Stanton, Gemma Ayala-Cabrera, David
Issued date:
Abstract:
[EN] Critical infrastructures such as water distribution networks (WDNs) require reliable and affordable information at a reasonable cost to address challenges that can negatively affect their operation. Inadequate knowledge ...[+]
Subjects: Water distribution networks , GPR image interpretation , 3D pipe models , Non-destructive testing methods , Water leakage , Intelligent data analysis , Multi-agent systems , Semi-automatic labeling of GPR images
Copyrigths: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
ISBN: 9788490489826
Source:
2nd International Join Conference on Water Distribution System Analysis (WDSA) & Computing and Control in the Water Industry (CCWI).
DOI: 10.4995/WDSA-CCWI2022.2022.14127
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/WDSA-CCWI/WDSA-CCWI2022/paper/view/14127
Conference name: 2nd WDSA/CCWI Joint Conference
Conference place: Valencia, España
Conference date: Julio 18-22, 2022
Type: Capítulo de libro Comunicación en congreso

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