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Data handling in data fusion: Methodologies and applications
(Elsevier, 2021-10)
The use of data fusion methodologies has increased at the same rhythm as the capability of modern analytical laboratories of measuring sample from multiple sources. Almost all data fusion strategies can be grouped into ...
A dynamic data-driven method for dealing with model structural error in soil moisture data assimilation
(Elsevier, 2019-10)
Attributing to the flexibility in considering various types of observation error and model error, data assimilation has been increasingly applied to dynamically improve soil moisture modeling in many hydrological practices. ...
Crustal structure of the high Andes in the North Pampean flat slab segment from magnetic and gravity data
(Pergamon-Elsevier Science Ltd, 2017-01)
The Main Andes at the northern Chilean-Pampean flat slab segment were formed by the inversion of late Oligocene to early Miocene extensional depocenters in Neogene times. Their structure, size and depth are loosely constrained ...
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 ...
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 ...
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 ...
Architecture and kinematics of the Famatinian deformation in the Sierra Grande de San Luis: A record of a collisional history at 33° S latitude
(Pergamon-Elsevier Science Ltd, 2020-11)
An improved understanding of the evolution of the Famatinian basement in the Sierra Grande de San Luis (SGSL) in Argentina is presented. Combining geological, geophysical and petrological data, a 3D inversion model for the ...