Weighted undirected similarity network construction and application for nonlinear time series detection

H Zhang, H Wang, X Liang, Y Yan… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
Detecting weak nonlinear time series is critical in various applications, such as ocean
monitoring, port security, coastal operations, and offshore activities. However, traditional …

A biophysical neuron model with double membranes

Y Li, J Ma, Y Xie - Nonlinear Dynamics, 2024 - Springer
The variation in electromagnetic-field distribution between the intracellular and extracellular
environments arises from the electro-physiological properties unique to each. Therefore …

A new parameter-free entropy based on fragment oscillation and its application in fault diagnosis

Z Zhang, C Wang, J Wu, D Zhao, Y Chen… - … in Nonlinear Science and …, 2024 - Elsevier
For finite time series, it is difficult to provide a convincing determination scheme for
specifying relevant parameters of entropy. This article proposes a new entropy, σ k E n …

[PDF][PDF] 相似网络构建与表征的水下声信号检测

张红伟, 王海燕, 闫永胜, 申晓红 - 电子与信息学报, 2024 - jeit.ac.cn
水下声信号检测在海洋防御系统中扮演着不可或缺的角色, 同时也广泛应用于民用领域. 然而,
在没有目标信号先验信息的情况下, 目前仍缺乏行之有效的水下声信号检测方法. 为此 …

Underwater Acoustic Signal Detection using Similarity Network Construction and Representation

H ZHANG, H WANG, Y YAN, X SHEN - 电子与信息学报, 2024 - jeit.ac.cn
Underwater acoustic signal detection plays a crucial role in ocean defense systems and has
broad applications in civilian domains. However, contemporary underwater acoustic signal …

Mining Weighted Patterns from Time Series Databases Based on Sliding Window

RA Rizvee, MSH Shahin, CF Ahmed… - … University Journal of …, 2023 - banglajol.info
Data mining has traditionally relied heavily on sliding window-based challenges, which has
sparked a variety of studies. For each new window in time series mining, current literature …