Results 81 to 90 of about 361,322 (325)
Entropy, 2018 Entropy and relative entropy measures play a crucial role in mathematical information theory. The relative entropies are also widely used in statistics under the name of divergence measures which link these two fields of science through the minimum ...
Abhik Ghosh, Ayanendranath Basu
doaj +1 more source
Tsallis entropy measure of noise-aided information transmission in a binary channel [PDF]
, 2011 Noise-aided information transmission via stochastic resonance is shown and analyzed in a binary channel by means of information measures based on the Tsallis entropy.
A. Delahaies +2 more
core +3 more sources
Entropy Measures in Machine Fault Diagnosis: Insights and Applications
IEEE Transactions on Instrumentation and Measurement, 2020 Entropy, as a complexity measure, has been widely applied for time series analysis. One preeminent example is the design of machine condition monitoring and industrial fault-diagnostic systems.
Zhiqiang Huo +4 more
semanticscholar +1 more source
Cell wall target fragment discovery using a low‐cost, minimal fragment library
FEBS Letters, EarlyView.LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
Noise and complexity in human postural control: interpreting the different estimations of entropy. [PDF]
PLoS ONE, 2011 BACKGROUND: Over the last two decades, various measures of entropy have been used to examine the complexity of human postural control. In general, entropy measures provide information regarding the health, stability and adaptability of the postural ...
Christopher K Rhea +6 more
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Statistical solutions of hyperbolic conservation laws I: Foundations
, 2016 We seek to define statistical solutions of hyperbolic systems of conservation laws as time-parametrized probability measures on $p$-integrable functions.
Fjordholm, Ulrik Skre +2 more
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Structural biology of ferritin nanocages
FEBS Letters, EarlyView.Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Cardiorespiratory Information Dynamics during Mental Arithmetic and Sustained Attention.
PLoS ONE, 2015 An analysis of cardiorespiratory dynamics during mental arithmetic, which induces stress, and sustained attention was conducted using information theory.
Devy Widjaja +5 more
doaj +1 more source
A new parametric information-gain criterion for tree-based machine learning algorithms [PDF]
PeerJ Computer ScienceDecision Trees (DTs) remain one of the most important algorithms in machine learning for their simplicity, interpretability, and often satisfactory performance.
Diogo Costa +2 more
doaj +2 more sources
Quantifying Information Leakage in Finite Order Deterministic Programs [PDF]
, 2010 Information flow analysis is a powerful technique for reasoning about the sensitive information exposed by a program during its execution. While past work has proposed information theoretic metrics (e.g., Shannon entropy, min-entropy, guessing entropy ...
Srivatsa, Mudhakar, Zhu, Ji
core