Results 31 to 40 of about 151,138 (245)
Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data
Frontiers in Computational Neuroscience, 2018 The dynamic nature of functional brain networks is being increasingly recognized in cognitive neuroscience, and methods to analyse such time-varying networks in EEG/MEG data are required.
Nitin J. Williams +2 more
doaj +1 more source
A Markov Multi-Phase Transferable Belief Model for Cyber Situational Awareness
IEEE Access, 2019 eXfiltration Advanced Persistent Threats (XAPTs) increasingly account for incidents concerned with critical information exfiltration from High Valued Targets (HVTs). Existing Cyber Defence frameworks and data fusion models cannot cope with XAPTs due to a
Georgios Ioannou +2 more
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Land subsidence prediction in Beijing based on PS-InSAR technique and improved Grey-Markov model
GIScience & Remote Sensing, 2017 Land subsidence induced by excessive groundwater withdrawal has caused serious social, geological, and environmental problems in Beijing. Rapid increases in population and economic development have aggravated the situation.
Zeng Deng +4 more
doaj +1 more source
Estimation of Transformers Health Index Based on the Markov Chain
Energies, 2017 This paper presents a study on the application of the Markov Model (MM) to determine the transformer population states based on Health Index (HI). In total, 3195 oil samples from 373 transformers ranging in age from 1 to 25 years were analyzed.
Muhammad Sharil Yahaya +5 more
doaj +1 more source
A Bayesian spatial random effects model characterisation of tumour heterogeneity implemented using Markov chain Monte Carlo (MCMC) simulation [PDF]
, 2016 The focus of this study is the development of a statistical modelling procedure for characterising intra-tumour heterogeneity, motivated by recent clinical literature indicating that a variety of tumours exhibit a considerable degree of genetic spatial ...
Grech-Sollars, M, King, MD
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Hepatology, EarlyView., 2022 Graphical summary of obesity‐induced NASH progression by LCN2 targeted to HSC activation. Abstract Background and Aims In obesity and type 2 diabetes mellitus, leptin promotes insulin resistance and contributes to the progression of NASH via activation of hepatic stellate cells (HSCs).
Kyung Eun Kim +12 more
wiley +1 more source
On Neural-Net Based Variable Structure Multiple Model Method: Neural-Net Design [PDF]
Journal of Systemics, Cybernetics and Informatics, 2003 In order to track a maneuvering target, multiple model (MM) methods have been researched. Almost MM algorithms have been developed based on Markov process. However, Markov based MM method is difficult to design and application-dependent.
Daebum Choi, Monica Samal, Byungha Ahn
doaj
Journal of Water and Climate Change, 2022 The response of blue and green water to climate and land-use change in the Ganjiang River Basin (GRB) is evaluated via the SWAT model that combines three scenarios (the land-use/land-cover (LULC), climate change, and integrated climate and LULC change ...
Wenting Li +5 more
doaj +1 more source
The Mathematics of Phylogenomics [PDF]
, 2004 The grand challenges in biology today are being shaped by powerful high-throughput technologies that have revealed the genomes of many organisms, global expression patterns of genes and detailed information about variation within populations.
Pachter, Lior, Sturmfels, Bernd
core +6 more sources
Remote Sensing, 2021 The displacement of Global Navigation Satellite System (GNSS) station contains the information of surface elastic deformation caused by the variation of land water reserves.
Yuefan He +3 more
doaj +1 more source