Results 61 to 70 of about 20,283,454 (331)
Vacation Policy for k-out-of-n Redundant System with Reboot Delay [PDF]
International Journal of Mathematical, Engineering and Management SciencesRedundancy is a well-known concept for system resilience; k-out-of-n redundancy stipulates that a minimum number of functional components must be present for the system to function.
Vaishali Tyagi +3 more
doaj +1 more source
Right Markov processes and systems of semilinear equations with measure data
, 2015 In the paper we prove the existence of probabilistic solutions to systems of the form $-Au=F(x,u)+\mu$, where $F$ satisfies a generalized sign condition and $\mu$ is a smooth measure.
Klimsiak, Tomasz
core +1 more source
Identifying Cytokine Motif‐Containing, Immunomodulatory Bacterial Proteins in Human Gut Microbiome
Advanced Science, EarlyView.By building and constructing HMM (Upper left, blue), the authors identify CMCPs in bacteria genomes and CRC related metagenomes and enriched CRC‐related CMCPs (Upper right, blue). They analyze sequence and structural similarity of hits (Lower left, green), test function with engineered EcN delivered to tumors in a mouse tumor model (Lower right, pink ...
Ziyu Wang +12 more
wiley +1 more source
RELIABILITY ANALYSIS OF COMPUTER NETWORKS USING PARAMETRIC FAILURE CRITERIA
Статистика и экономика, 2016 A mathematical model, which allows to obtain expressions for the determination of parameters of reliability of computer ne t w o rks co n sis t i n g o f i den t i c al recoverable elements.
Oleg A. Tkachev
doaj +1 more source
IEEE Transactions on Medical Imaging, 2001 The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR) images because of its simple mathematical form and the piecewise constant nature of ideal brain MR images.
Yongyue Zhang +2 more
semanticscholar +1 more source
SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
Advanced Science, EarlyView.ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
wiley +1 more source
Annotations of two examples about Markov process [PDF]
, 2013 In this paper, we discuss an incorrect example that a Markov process does not satisfy strong Markov property, and analyzes the reason of mistake.
Tang, Rong
core
Self-similar scaling limits of non-increasing Markov chains
, 2011 We study scaling limits of non-increasing Markov chains with values in the set of non-negative integers, under the assumption that the large jump events are rare and happen at rates that behave like a negative power of the current state. We show that the
Haas, Bénédicte, Miermont, Grégory
core +1 more source
Quickest Change Detection of a Markov Process Across a Sensor Array [PDF]
IEEE Transactions on Information Theory, 2008 Recent attention in quickest change detection in the multisensor setting has been on the case where the densities of the observations change at the same instant at all the sensors due to the disruption. In this work, a more general scenario is considered
V. Raghavan, V. Veeravalli
semanticscholar +1 more source
Advanced Science, EarlyView.Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source