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Entropy, Volume 24, Issue 3

March 2022 - 127 articles

Cover Story: Can mathematical models of the brain improve robotics? We summarise how active inference—a well-known description of brain function and behaviour from neuroscience—can be used to build effective autonomous systems that show state-of-the-art performance in several robotics settings. The key features of active inference could soon provide solutions to current technical challenges in robotics and advance human-centred robotic applications, including context-adaptive, safe and social robots, wearable devices, regulatory processes and neurotechnology. View this paper
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Articles (127)

  • Feature Paper
  • Article
  • Open Access
2 Citations
3,297 Views
11 Pages

21 March 2022

In this paper, we considered the representation power of local overlapping histograms for discrete binary signals. We give an algorithm that is linear in signal size and factorial in window size for producing the set of signals, which share a sequenc...

  • Article
  • Open Access
10 Citations
3,809 Views
17 Pages

Task’s Choice: Pruning-Based Feature Sharing (PBFS) for Multi-Task Learning

  • Ying Chen,
  • Jiong Yu,
  • Yutong Zhao,
  • Jiaying Chen and
  • Xusheng Du

21 March 2022

In most of the existing multi-task learning (MTL) models, multiple tasks’ public information is learned by sharing parameters across hidden layers, such as hard sharing, soft sharing, and hierarchical sharing. One promising approach is to intro...

  • Article
  • Open Access
2 Citations
2,893 Views
12 Pages

20 March 2022

An enhanced affine projection algorithm (APA) is proposed to improve the filter performance in aspects of convergence rate and steady-state estimation error, since the adjustment of the input-vector number can be an effective way to increase the conv...

  • Review
  • Open Access
6 Citations
3,872 Views
31 Pages

GDP vs. LDP: A Survey from the Perspective of Information-Theoretic Channel

  • Hai Liu,
  • Changgen Peng,
  • Youliang Tian,
  • Shigong Long,
  • Feng Tian and
  • Zhenqiang Wu

19 March 2022

The existing work has conducted in-depth research and analysis on global differential privacy (GDP) and local differential privacy (LDP) based on information theory. However, the data privacy preserving community does not systematically review and an...

  • Article
  • Open Access
5 Citations
3,387 Views
12 Pages

19 March 2022

The mechanism of cerebral blood flow autoregulation can be of great importance in diagnosing and controlling a diversity of cerebrovascular pathologies such as vascular dementia, brain injury, and neurodegenerative diseases. To assess it, there are s...

  • Article
  • Open Access
2 Citations
2,785 Views
11 Pages

19 March 2022

An end-to-end joint source–channel (JSC) encoding matrix and a JSC decoding scheme using the proposed bit flipping check (BFC) algorithm and controversial variable node selection-based adaptive belief propagation (CVNS-ABP) decoding algorithm a...

  • Article
  • Open Access
12 Citations
4,040 Views
14 Pages

A Soar-Based Space Exploration Algorithm for Mobile Robots

  • Fei Luo,
  • Qin Zhou,
  • Joel Fuentes,
  • Weichao Ding and
  • Chunhua Gu

19 March 2022

Space exploration is a hot topic in the application field of mobile robots. Proposed solutions have included the frontier exploration algorithm, heuristic algorithms, and deep reinforcement learning. However, these methods cannot solve space explorat...

  • Article
  • Open Access
14 Citations
10,332 Views
19 Pages

19 March 2022

Offline hand-drawn diagram recognition is concerned with digitizing diagrams sketched on paper or whiteboard to enable further editing. Some existing models can identify the individual objects like arrows and symbols, but they become involved in the...

  • Article
  • Open Access
5 Citations
3,315 Views
12 Pages

Low-Complexity Chase Decoding of Reed–Solomon Codes Using Channel Evaluation

  • Hao Wang,
  • Wei Zhang,
  • Yanyan Chang,
  • Jiajing Gao and
  • Yanyan Liu

18 March 2022

A novel time-varying channel adaptive low-complexity chase (LCC) algorithm with low redundancy is proposed, where only the necessary number of test vectors (TVs) are generated and key equations are calculated according to the channel evaluation to re...

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Entropy - ISSN 1099-4300