A Markov random field-based approach for joint estimation of differentially expressed genes in mouse transcriptome data. [PDF]
Stat Appl Genet Mol Biol, 2016 Lin Z, Li M, Sestan N, Zhao H.
europepmc +1 more source
A functional network estimation method of resting-state fMRI using a hierarchical Markov random field. [PDF]
Neuroimage, 2014 Liu W +3 more
europepmc +1 more source
Service-oriented node scheduling scheme for wireless sensor networks using Markov random field model. [PDF]
Sensors (Basel), 2014 Cheng H, Su Z, Lloret J, Chen G.
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An Adaptive Elephant Herd Optimization‐based Load Balancing Algorithm for energy efficient Networks
IET Networks, Accepted Article.Distributing resources among PCs, networks, and servers enables organizations to better manage their workloads and applications. The AEHO algorithm was used in this study to design a load‐balancing system. The elephant population is alienated into clans, with each point on the elephant's trunk denoting a different type of solution.
venkatasubramanian S +3 more
wiley +1 more source
Causal Markov random field for brain MR image segmentation. [PDF]
Annu Int Conf IEEE Eng Med Biol Soc, 2012 Razlighi QR +3 more
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New opportunities for grassland species in warming temperate winters
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Temperate winters are getting warmer, the length of the growing season is increasing and mid‐winter fluctuations of warm and freezing temperatures are more frequent. Although typically winter dormant, some herbaceous perennials can maintain or grow green leaves during ...
F. Curtis Lubbe +3 more
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Segmenting pectoralis muscle on digital mammograms by a Markov random field-maximum a posteriori model. [PDF]
J Med Imaging (Bellingham), 2014 Ge M +3 more
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Should you use data integration for your distribution model?
Journal of Animal Ecology, EarlyView.This paper explores cases where data integration (the joint modelling of two or more observational datasets) is useful for species distribution models, and also highlights cases where it's actually not useful. This provides the first concrete guidance for deciding whether or not data integration is worth your time.
Benjamin R. Goldstein +3 more
wiley +1 more source
A Markov Random Field Groupwise Registration Framework for Face Recognition. [PDF]
IEEE Trans Pattern Anal Mach Intell, 2014 Liao S, Shen D, Chung AC.
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Integrative Zoology, EarlyView.Assessing drivers of population dynamics helps to mitigate human–wildlife conflicts. In Mediterranean areas, summer aridity reduces resources, potentially affecting ungulates' body condition and reproduction. In a mixed forested‐rural area, wild boar female body mass increased throughout summer in rainy‐mild years and decreased in hot‐dry years.
Martina Calosi +4 more
wiley +1 more source