Zobrazeno 1 - 10
of 2 036
pro vyhledávání: '"Radojičić A."'
To reduce the latency of Backpressure (BP) routing in wireless multi-hop networks, we propose to enhance the existing shortest path-biased BP (SP-BP) and sojourn time-based backlog metrics, since they introduce no additional time step-wise signaling
Externí odkaz:
http://arxiv.org/abs/2407.09753
This work introduces the Matrix Minimum Covariance Determinant (MMCD) method, a novel robust location and covariance estimation procedure designed for data that are naturally represented in the form of a matrix. Unlike standard robust multivariate es
Externí odkaz:
http://arxiv.org/abs/2403.03975
The focus of this paper is on the study of specific circle formations known as orthogonal Pappus chains and the related incidence results that involve points of tangency between the circles in the construction. These chains give rise to new circle fa
Externí odkaz:
http://arxiv.org/abs/2311.05895
Autor:
Grygar, Tomáš Matys, Radojičić, Una, Pavlů, Ivana, Greven, Sonja, Nešlehová, Johanna Genest, Tůmová, Štěpánka, Hron, Karel
Geochemical mapping of risk element concentrations in soils is performed in countries around the world. It results in large datasets of high analytical quality, which can be used to identify soils that violate individual legislative limits for safe f
Externí odkaz:
http://arxiv.org/abs/2310.13761
Publikováno v:
The Journal of Headache and Pain, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background This study investigated for a possible contributing role of hippocampus in the different clinical phenotypic manifestations of migraine aura. Methods Herein, patients were categorized as those with pure visual aura (MwAv), those w
Externí odkaz:
https://doaj.org/article/c09b27549d984cc69078db86f32b2dad
For a set of $p$-variate data points $\boldsymbol y_1,\ldots,\boldsymbol y_n$, there are several versions of multivariate median and related multivariate sign test proposed and studied in the literature. In this paper we consider the asymptotic prope
Externí odkaz:
http://arxiv.org/abs/2308.06264
In this paper, we propose the Minimum Regularized Covariance Trace (MRCT) estimator, a novel method for robust covariance estimation and functional outlier detection. The MRCT estimator employs a subset-based approach that prioritizes subsets exhibit
Externí odkaz:
http://arxiv.org/abs/2307.13509
We propose a throughput-optimal biased backpressure (BP) algorithm for routing, where the bias is learned through a graph neural network that seeks to minimize end-to-end delay. Classical BP routing provides a simple yet powerful distributed solution
Externí odkaz:
http://arxiv.org/abs/2211.10748
Publikováno v:
Vojnosanitetski Pregled, Vol 81, Iss 1, Pp 9-17 (2024)
nema
Externí odkaz:
https://doaj.org/article/82ddf411bb7f4cb5b6c16cff870cc1bc
Tensor-valued data benefits greatly from dimension reduction as the reduction in size is exponential in the number of modes. To achieve maximal reduction without loss in information, our objective in this work is to give an automated procedure for th
Externí odkaz:
http://arxiv.org/abs/2207.10423