Results 31 to 40 of about 5,161,693 (301)
Classification of Stabilometric Time-Series Using an Adaptive Fuzzy Inference Neural Network System [PDF]
, 2010 Stabilometry is a branch of medicine that studies balance-related human functions. The analysis of stabilometric-generated time series can be very useful to the diagnosis and treatment balance-related dysfunctions such as dizziness.
Caraça-Valente Hernández, Juan Pedro +9 more
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An Analysis on End-To-End Inference Methods based On Packet Probing in Network [PDF]
, 2011 Current Internet is a massive, distributed network which continues to grow in size as globalization takes major role in everyone’s life like e-commerce, social networking and related activities grow. The heterogeneous and largely unregulated structure of
Vivek, V. +3 more
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Frontiers in Applied Mathematics and Statistics, 2022 In neuroscience, the structural connectivity matrix of synaptic weights between neurons is one of the critical factors that determine the overall function of a network of neurons.
Thierry Nieus +5 more
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Decoupling approximation robustly reconstructs directed dynamical networks
New Journal of Physics, 2018 Methods for reconstructing the topology of complex networks from time-resolved observations of node dynamics are gaining relevance across scientific disciplines.
Nikola Simidjievski +5 more
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FINET: Fast Inferring NETwork [PDF]
BMC Research Notes, 2019 Abstract Objectives Numerous software has been developed to infer the gene regulatory network, a long-standing key topic in biology and computational biology. Yet the slowness and inaccuracy inherited in current software hamper their applications to the increasing massive
Anyou Wang, Rong Hai
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Granger-Causality Inference of the Existence of Unobserved Important Components in Network Analysis
Entropy, 2021 Detecting causal interrelationships in multivariate systems, in terms of the Granger-causality concept, is of major interest for applications in many fields. Analyzing all the relevant components of a system is almost impossible, which contrasts with the
Heba Elsegai
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Few regulatory metabolites coordinate expression of central metabolic genes in Escherichia coli
Molecular Systems Biology, 2017 Transcription networks consist of hundreds of transcription factors with thousands of often overlapping target genes. While we can reliably measure gene expression changes, we still understand relatively little why expression changes the way it does. How
Karl Kochanowski +5 more
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Bayesian networks for network inference in biology. [PDF]
J R Soc InterfaceBayesian networks (BNs) have been used for reconstructing interactions from biological data, in disciplines ranging from molecular biology to ecology and neuroscience. BNs learn conditional dependencies between variables, which best ‘explain’ the data, represented as a directed graph which approximates the relationships between variables. In the 2000s,
Hammond J, Smith VA.
europepmc +3 more sources
Joint Label Inference in Networks [PDF]
Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018 We consider the problem of inferring node labels in a partially labeled graph where each node in the graph has multiple label types and each label type has a large number of possible labels. Existing approaches such as Label Propagation fail to consider interactions between the label types.
Deepayan Chakrabarti +3 more
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Frontiers in Genetics, 2017 Perturbation of biological networks is often observed during exposure to xenobiotics, and the identification of disturbed processes, their dynamic traits, and dose–response relationships are some of the current challenges for elucidating the mechanisms ...
Terezinha M. Souza +2 more
doaj +1 more source