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Haneul Lee and Seokheon Yun
Accurately predicting construction costs during the initial planning stages is crucial for the successful completion of construction projects. Recent advancements have introduced various machine learning-based methods to enhance cost estimation precision...
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Chenhui Wang and Yijiu Zhao
Landslide displacement prediction is a challenging research task that can help to reduce the occurrence of landslide disasters. The frequent occurrence of extreme weather increases the probability of landslides, and the subsequent increase in the superim...
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Mohamad Zamini, Hassan Reza and Minou Rabiei
Information extraction methods proved to be effective at triple extraction from structured or unstructured data. The organization of such triples in the form of (head entity, relation, tail entity) is called the construction of Knowledge Graphs (KGs). Mo...
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Hao Gu, Tengfei Wang, Yantao Zhu, Cheng Wang, Dashan Yang and Lixian Huang
A concrete dam is an important water-retaining hydraulic structure that stops or restricts the flow of water or underground streams. It can be regarded as a constantly changing complex system. The deformation of a concrete dam can reflect its operation b...
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Agnieszka Ozimek, Pawel Ozimek, Krzysztof Skabek and Piotr Labedz
Data concerning heritage buildings are necessary for all kinds of building surveying and design. This paper presents a method for creating a precise model of a historical architectural and landscape object with complex geometry. Photogrammetric technique...
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Yassine Belghaddar, Nanee Chahinian, Abderrahmane Seriai, Ahlame Begdouri, Reda Abdou and Carole Delenne
Wastewater networks are mandatory for urbanisation. Their management, including the prediction and planning of repairs and expansion operations, requires precise information on their underground components (manhole covers, equipment, nodes, and pipes). H...
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Cesar Federico Caiafa, Jordi Solé-Casals, Pere Marti-Puig, Sun Zhe and Toshihisa Tanaka
In many machine learning applications, measurements are sometimes incomplete or noisy resulting in missing features. In other cases, and for different reasons, the datasets are originally small, and therefore, more data samples are required to derive use...
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Michael Mair, Jonatan Zischg, Wolfgang Rauch and Robert Sitzenfrei
Urban water infrastructure, i.e., water supply and sewer networks, are underground structures, implying that detailed information on their location and features is not directly accessible, frequently erroneous, or missing. For public use, data is also no...
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Jakub Langhammer, Julius Cesák
Pág. 1 - 25
This paper analyzes the potential of a nu-support vector regression (nu-SVR) model for the reconstruction of missing data of hydrological time series from a sensor network. Sensor networks are currently experiencing rapid growth of applications in experi...
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