Results 41 to 50 of about 3,003 (256)

Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals

Entropy, 2015
The brain is a complex structure made up of interconnected neurons, and its electrical activities can be evaluated using electroencephalogram (EEG) signals. The characteristics of the brain area affected by partial epilepsy can be studied using focal and
Rajeev Sharma, Ram Bilas Pachori, U. Rajendra Acharya   +2 more
doaj   +1 more source

Automated Emotion Identification Using Fourier–Bessel Domain-Based Entropies

Entropy, 2022
Human dependence on computers is increasing day by day; thus, human interaction with computers must be more dynamic and contextual rather than static or generalized.
Aditya Nalwaya, Kritiprasanna Das, Ram Bilas Pachori   +2 more
doaj   +1 more source

An empirical assessment of the entropy maximising family of interaction models [PDF]

Irish Geography, 1983
The parameters, and consequently the performance level, of statistical models of spatial interaction are particularly dependent on the spatial organisation framework which is used to organise interaction data and the way in which the costs of interaction arc measured.
Walsh, Jim, Tobin, R
openaire   +2 more sources

Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS

Sensors, 2018
For planetary gear has the characteristics of small volume, light weight and large transmission ratio, it is widely used in high speed and high power mechanical system. Poor working conditions result in frequent failures of planetary gear.
Moshen Kuai, Gang Cheng, Yusong Pang, Yong Li   +3 more
doaj   +1 more source

Using Graph and Vertex Entropy to Compare Empirical Graphs with Theoretical Graph Models

Entropy, 2016
Over the years, several theoretical graph generation models have been proposed. Among the most prominent are: the Erdős–Renyi random graph model, Watts–Strogatz small world model, Albert–Barabási preferential attachment model, Price citation model, and ...
Tomasz Kajdanowicz, Mikołaj Morzy
doaj   +1 more source

Empirical Maximum Entropy Methods [PDF]

AIP Conference Proceedings, 2006
A method, which we suggest to call the Empirical Maximum Entropy method, is implicitly present at Maximum Entropy Empirical Likelihood method, as its special, non‐parametric case. From this vantage point the entropy‐based empirical approach to estimation is surveyed.
openaire   +1 more source

Criticality in Pareto Optimal Grammars?

Entropy, 2020
What are relevant levels of description when investigating human language? How are these levels connected to each other? Does one description yield smoothly into the next one such that different models lie naturally along a hierarchy containing each ...
Luís F Seoane, Ricard Solé
doaj   +1 more source

Entropy of Financial Time Series Due to the Shock of War

Entropy, 2023
The concept of entropy is not uniquely relevant to the statistical mechanics but, among others, it can play pivotal role in the analysis of a time series, particularly the stock market data.
Ewa A. Drzazga-Szczȩśniak, Piotr Szczepanik, Adam Z. Kaczmarek, Dominik Szczȩśniak   +3 more
doaj   +1 more source

On Empirical Entropy

CoRR, 2011
We propose a compression-based version of the empirical entropy of a finite string over a finite alphabet. Whereas previously one considers the naked entropy of (possibly higher order) Markov processes, we consider the sum of the description of the random variable involved plus the entropy it induces.
openaire   +2 more sources

Fault Diagnosis of Planetary Gear Based on Fuzzy Entropy of CEEMDAN and MLP Neural Network by Using Vibration Signal

ITM Web of Conferences, 2017
A method of planetary gear fault diagnosis based on the fuzzy entropy of complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and multi-layer perceptron (MLP) neural network is proposed.
Chen Xi-Hui, Cheng Gang, Liu Chang, Li Yong   +3 more
doaj   +1 more source