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Detection of structural damage and estimation of reliability using a multidimensional monitoring approach
(SAGE PUBLICATIONS LTD, 2018-04-01)
Many structural elements are exposed to load conditions that are difficult to model during the design phase, such as environmental uncertainties, random impacts, and overloading, amongst others, thus increasing unprogrammed ...
Data-driven Generation of Policies
(Springer, 2014)
This Springer Brief presents a basic algorithm that provides a correct solution to finding an optimal state change attempt, as well as an enhanced algorithm that is built on top of the well-known trie data structure. It ...
On stability measures and effects of data structure in the recognition of areas of endemism
(Wiley Blackwell Publishing, Inc, 2019-04)
Incomplete data sampling, bias, and like properties of distribution datasets that potentially introduce uncertainty in biogeographical analyses and blur biogeographical patterns; therefore, it is important to understand ...
Spatial correlations of extended cosmological structures
(Wiley Blackwell Publishing, Inc, 2020-05)
Studies of large-scale structures in the Universe, such as superstructures or cosmic voids, have been widely used to characterize the properties of the cosmic web through statistical analyses. On the other hand, the two-point ...
Reliability analysis applied to structural ceramic blocks
(ANTAC - Associação Nacional de Tecnologia do Ambiente Construído, 2018)
Analytical chemistry assisted by multi-way calibration: A contribution to green chemistry
(Elsevier Science, 2019-11-01)
A review is presented of recent multi-way calibration protocols involving three-, four- andfive-way data. A brief description of the various data structures and processing models isshown, with emphasis on model selection ...
Legal mechanism for the protection of personal data in Germany
(Universidad del Zulia, 2019)
Spectral structure-oriented filtering of seismic data with self-adaptive paths
(Society of Exploration Geophysicists, 2019-05-01)
We have developed an algorithm to perform structure-oriented filtering (SOF) in 3D seismic data by learning the data structure in the frequency domain. The method, called spectral SOF (SSOF), allows us to enhance the signal ...
Blankets Joint Posterior score for learning Markov network structures
(Elsevier Science Inc, 2018-01)
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in a wide range of fields. By learning the Markov network independence structure of a domain, more accurate joint ...