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TSEntropies

Implementation of original and modified time series entropy algorithms.

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
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  • R
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  • Link
Result

Acceleration of time series entropy algorithms

This paper concentrates on the entropy estimation of time series. Two new algorithms are introduced: Fast Approximate Entropy and Fast Sample Entropy. Their main advantage is their lower time complexity. Examples c...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
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  • Jimp
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  • Link
Result

Study of Learning Entropy for onset detection of epileptic seizures in EEG time series

. For comparison, the principle and the results are compared to the Sample Entropy approachThis paper presents a case study of non-Shannon entropy, i.e. Learning Entropy series. Contrary to entropy methods...

BC - Teorie a systémy řízení

  • 2016
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  • D
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Result

New Fast ApEn and SampEn Entropy Algorithms Implementation and Their Application to Supercomputer Power Consumption

Approximate Entropy and especially Sample Entropy are recently frequently used, namely Fast Approximate Entropy and Fast Sample Entropy. All these algorithms important result is that the computati...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
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  • Jimp
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  • Link
Result

Predictability and Entropy of Supercomputer Infrastructure Consumption

This paper examines the relationship between time series predictability and development of its entropy. It describes and graphically illustrates the principle of both algorithms and derives their logical connection based on this. This deduce...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
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  • D
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  • Link
Result

Measuring Body Temperature Series Regularity Using Approximate Entropy and Sample Entropy

Approximate Entropy (ApEn) and Sample Entropy (SampEn) have proven to be a valuable analyzing tool for a number of physiological signals. However, the characterization of these metrics is still lacking. We applied ApEn and ...

JC - Počítačový hardware a software

  • 2009
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  • D
Result

Learning Entropy: Multiscale Measure for Incremental Learning

., Entropy of Learning, or in short the Learning Entropy. This novel cognitive measure can be used for evaluation of each newly measured sample of data, or even of whole intervals. The Learning Entropy is quantifie...

BC - Teorie a systémy řízení

  • 2013
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  • Jx
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  • Link
Result

Monte Carlo comparison of four normality tests using different entropy estimates.

The paper studies four entropy tests of normality of real valued observations using four statistics based on different entropy estimates from n i.i.d. observations. For the test size alpha around 0.05 and sample sizes (n) b...

BD - Teorie informace

  • 2001
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  • Jx
Result

Analysis of the correlation between the human voice and brain activity

by calculating their Shannon entropy and sample entropy. The obtained results showed and information concepts and ran the analysis on EEG and voice (audio) signals using sample entropy and Shannon ent...

Statistics and probability

  • 2024
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  • JSC
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  • Link
Result

Research of relations between thermodynamic quantities of building materials in connection with heat dissipation

rate for building materials, in particular using partial entropies, a temporal change in entropy upon heating a sample of a studied material and a temporal change in entropy upon overheating a sample of a...

JN - Stavebnictví

  • 2016
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  • D
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