We develop a novel approach to identify regions of the genome underlying population genetic differentiation in any genetic data where the underlying population structure is unknown, or where the ...
SIAM Journal on Applied Mathematics, Vol. 78, No. 2 (2018), pp. 853-876 (24 pages) Eigenvector-based centrality measures are among the most popular centrality measures in network science. The ...
Principal components analysis is perhaps the most widely used method for exploring multivariate data. In this paper, we propose a variability plot composed of measures on the stability of each ...
Abstract: In this paper, we investigate a low-complexity method to mitigate the effects of channel aging in 5G new radio (NR) downlink (DL) multiuser multiple-input multiple-output (MU-MIMO) system by ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback