Wireless Sensor Networks (WSNs) have been a major breakthrough in recent years, achieving significant advancements in both commercial and research fields worldwide. They have been applied in various ...
School of Biological Sciences, University of California San Diego, La Jolla, California 92037, United States Department of Biology, San Diego State University, San Diego, California 92182, United ...
EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization
For the analysis of simultaneous EEG-fMRI recordings, it is vital to use effective artifact removal tools. This applies in particular to the ballistocardiogram (BCG) artifact which is difficult to ...
Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...
In this work, a new method is presented for determining the binding constraints of a general linear maximization problem. The new method uses only objective function values at points which are ...
Industries require planning in transporting their products from production centres to the users end with minimal transporting cost to maximize profit. This process is known as Transportation Problem ...
An expectation–maximization algorithm for the Lasso estimation of quantitative trait locus effects
The least absolute shrinkage and selection operator (Lasso) estimation of regression coefficients can be expressed as Bayesian posterior mode estimation of the regression coefficients under various ...
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