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Entropy, Volume 21, Issue 12

December 2019 - 105 articles

Cover Story: The information bottleneck (IB) method is a technique for extracting information in one random variable that is relevant for predicting another random variable. IB has applications in many fields, including machine learning with neural networks. In order to perform IB, however, one must find an optimally-compressed "bottleneck" random variable, which involves solving a difficult optimization problem with an information-theoretic objective function. We propose a method for solving this optimization problem using neural networks and a recently proposed bound on mutual information. We demonstrate that our approach exhibits better performance than other recent proposals. View this paper
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Articles (105)

  • Review
  • Open Access
23 Citations
11,126 Views
21 Pages

17 December 2019

Consciousness is a central issue in neuroscience, however, we still lack a formal framework that can address the nature of the relationship between consciousness and its physical substrates. In this review, we provide a novel mathematical framework o...

  • Article
  • Open Access
4,196 Views
19 Pages

A Quantum Cellular Automata Type Architecture with Quantum Teleportation for Quantum Computing

  • Dimitrios Ntalaperas,
  • Konstantinos Giannakis and
  • Nikos Konofaos

17 December 2019

We propose an architecture based on Quantum Cellular Automata which allows the use of only one type of quantum gate per computational step, using nearest neighbor interactions. The model is built in partial steps, each one of them analyzed using near...

  • Article
  • Open Access
23 Citations
5,818 Views
13 Pages

17 December 2019

Inspired by the possibility that generative models based on quantum circuits can provide a useful inductive bias for sequence modeling tasks, we propose an efficient training algorithm for a subset of classically simulable quantum circuit models. The...

  • Article
  • Open Access
7 Citations
4,355 Views
16 Pages

Multi-Type Node Detection in Network Communities

  • Chinenye Ezeh,
  • Ren Tao,
  • Li Zhe,
  • Wang Yiqun and
  • Qu Ying

17 December 2019

Patterns of connectivity among nodes on networks can be revealed by community detection algorithms. The great significance of communities in the study of clustering patterns of nodes in different systems has led to the development of various methods...

  • Article
  • Open Access
26 Citations
3,361 Views
16 Pages

Entropy Generation and Heat Transfer in Drilling Nanoliquids with Clay Nanoparticles

  • Kottakkaran Sooppy Nisar,
  • Dolat Khan,
  • Arshad Khan,
  • Waqar A Khan,
  • Ilyas Khan and
  • Abdullah Mohammed Aldawsari

16 December 2019

Different types of nanomaterials are used these days. Among them, clay nanoparticles are the one of the most applicable and affordable options. Specifically, clay nanoparticles have numerous applications in the field of medical science for cleaning b...

  • Article
  • Open Access
20 Citations
5,444 Views
16 Pages

Convolutional Recurrent Neural Networks with a Self-Attention Mechanism for Personnel Performance Prediction

  • Xia Xue,
  • Jun Feng,
  • Yi Gao,
  • Meng Liu,
  • Wenyu Zhang,
  • Xia Sun,
  • Aiqi Zhao and
  • Shouxi Guo

16 December 2019

Personnel performance is important for the high-technology industry to ensure its core competitive advantages are present. Therefore, predicting personnel performance is an important research area in human resource management (HRM). In this paper, to...

  • Article
  • Open Access
7 Citations
4,809 Views
25 Pages

16 December 2019

Individuals’ ability to express their subjective experiences in terms of such attributes as pleasant/unpleasant or positive/negative feelings forms a fundamental property of their affect and emotion. However, neuroscientific findings on the und...

  • Article
  • Open Access
12 Citations
4,212 Views
16 Pages

Digital Volume Pulse Measured at the Fingertip as an Indicator of Diabetic Peripheral Neuropathy in the Aged and Diabetic

  • Hai-Cheng Wei,
  • Na Ta,
  • Wen-Rui Hu,
  • Ming-Xia Xiao,
  • Xiao-Jing Tang,
  • Bagus Haryadi,
  • Juin J. Liou and
  • Hsien-Tsai Wu

16 December 2019

This study investigated the application of a modified percussion entropy index (PEIPPI) in assessing the complexity of baroreflex sensitivity (BRS) for diabetic peripheral neuropathy prognosis. The index was acquired by comparing the obedience of the...

  • Feature Paper
  • Article
  • Open Access
10 Citations
3,882 Views
16 Pages

16 December 2019

Failure Mode, Effects and Criticality Analysis (FMECA) is a method which involves quantitative failure analysis. It systematically examines potential failure modes in a system, as well as the components of the system, to determine the impact of a fai...

  • Article
  • Open Access
91 Citations
5,695 Views
20 Pages

A New Approach to Fuzzy TOPSIS Method Based on Entropy Measure under Spherical Fuzzy Information

  • Omar Barukab,
  • Saleem Abdullah,
  • Shahzaib Ashraf,
  • Muhammad Arif and
  • Sher Afzal Khan

16 December 2019

Spherical fuzzy set (SFS) is one of the most important and extensive concept to accommodate more uncertainties than existing fuzzy set structures. In this article, we will describe a novel enhanced TOPSIS-based procedure for tackling multi attribute...

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Entropy - ISSN 1099-4300Creative Common CC BY license