Results 41 to 50 of about 3,980 (174)
Química Nova, 1997 The least square method is analyzed. The basic aspects of the method are discussed. Emphasis is given in procedures that allow a simple memorization of the basic equations associated with the linear and non linear least square method, polinomial ...
Rogério Custodio +2 more
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Remote Sensing, 2023 Downward short-wave (SW) solar radiation is the only essential energy source powering the atmospheric dynamics, ocean dynamics, biochemical processes, and so forth on our planet. Clouds are the main factor limiting the SW flux over the land and the Ocean.
Mikhail Krinitskiy +5 more
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Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Embedded feature selection is effective when both prediction and interpretation are needed. The Lasso and its extensions are standard methods for selecting a subset of features while optimizing a prediction function. In this paper, we are interested in embedded feature selection for multidimensional data, wherein (1) there is no need to
Song, X., Lu, H.
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Movement Disorders, EarlyView.Abstract Background Blood–brain barrier disruption is increasingly recognized in synucleinopathies, but the role of the endothelial glycocalyx (GLX) in Parkinson's disease (PD) and multiple system atrophy (MSA) remains unclear. Objectives The aim was to determine whether plasma GLX markers differ between PD, MSA, and healthy controls (HC), relate to ...
Jonas Folke +15 more
wiley +1 more source
Calibration and Validation of a Measurements-Independent Model for Road Traffic Noise Assessment
Applied Sciences, 2023 The assessment of road traffic noise is very important for the health of people living in urban areas. Noise is usually assessed by field measurements, and predictive models play an important role when experimental data are not available.
Domenico Rossi +2 more
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Multilinear Weighted Regression (MWE) with Neural Networks for trend prediction
Applied Soft Computing, 2019 The ability to define accurate linear models to find patterns or relationships between variables is one of the most challenging fields in Computer Science. In particular, extrapolative applications are widely used to predict values in Biological, Behavioral and Social Sciences.
Arteta Albert, Alberto +2 more
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Polymer International, EarlyView.Biosurfactant was produced by Pseudomonas aeruginosa using andiroba waste from Amazonia. A biosurfactant–alginate composite (Alg/BioS) was successfully synthesized via ionotropic gelation, and achieved up to 70% Cr6+ removal from water. Abstract Environmental contamination by heavy metals represents a significant challenge due to their persistence in ...
Paulo Diniz Austriaco +11 more
wiley +1 more source
Energies, 2022 Wax deposition and gelation of waxy crude oil in production pipelines are detrimental to crude oil transportation from offshore fields. A waxy crude oil forms intra-gel voids in pipelines under cooling mode, particularly below the pour point temperature.
Girma Tadesse Chala, Berihun Mamo Negash
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Multilinear tensor regression for longitudinal relational data
The Annals of Applied Statistics, 2015 A fundamental aspect of relational data, such as from a social network, is the possibility of dependence among the relations. In particular, the relations between members of one pair of nodes may have an effect on the relations between members of another pair.
openaire +5 more sources
Diagnosing the 11‐year solar cycle's influence on the East Atlantic pattern
Quarterly Journal of the Royal Meteorological Society, EarlyView.A previously unidentified solar‐cycle response in the East Atlantic pattern is found in late winter at lag +3 years with larger amplitude than the NAO response. A statistically significant NAO response to the solar cycle is seen in late winter at lag 0 years.
Stergios Misios +4 more
wiley +1 more source