Data Quality: Importance of the ‘Before Analysis’ Domain [Theory of Sampling (TOS)]
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Chemometrics"
DOI: 10.1002/cem.70021
Abstract: Data Quality: what is it, where does it originate, how does it influence data modelling, what can chemometricians do about it? The ‘before analysis’ domain is prone to sampling errors resulting in uncertainties influencing the… read more here.
Keywords: quality; data modelling; analysis data; analysis ... See more keywords
Tracking long-term modal behaviour of a footbridge and identifying potential SHM approaches
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DOI: 10.1007/s13349-024-00787-9
Abstract: Numerous studies have investigated the long-term monitoring of natural frequencies, primarily focusing on medium–large highway bridges, using expensive monitoring systems with a large array of sensors. However, this paper addresses the less explored issue of… read more here.
Keywords: data modelling; long term; paper; monitoring ... See more keywords
Graph data modelling with a Safety II perspective: enhancing disaster response in Japan
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Risk Research"
DOI: 10.1080/13669877.2025.2485034
Abstract: Abstract Disaster record reports serve as critical support for electricity company executives in formulating emergency countermeasures. Recognizing the urgency of accessing and managing disaster response information during crises, this study introduces a graph data modelling… read more here.
Keywords: data modelling; disaster; graph data; disaster response ... See more keywords
Challenges and Perspectives of Open Data in Modelling Infectious Diseases
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DOI: 10.3390/data8020027
Abstract: The pandemic challenged the scientific community and governments around the world, who were looking for real-time answers but lacked the data or evidence to guide decision-making [...] read more here.
Keywords: infectious diseases; data modelling; challenges perspectives; open data ... See more keywords
Multimedia Data Modelling Using Multidimensional Recurrent Neural Networks
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DOI: 10.3390/sym10090370
Abstract: Modelling the multimedia data such as text, images, or videos usually involves the analysis, prediction, or reconstruction of them. The recurrent neural network (RNN) is a powerful machine learning approach to modelling these data in… read more here.
Keywords: multimedia data; using multidimensional; modelling using; multidimensional recurrent ... See more keywords