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Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications

Lixiang Li, Yuan Fang, Liwei Liu, Haipeng Peng et al. • Applied Sciences (2020)

With the development of intelligent networks such as the Internet of Things, network scales are becoming increasingly larger, and network environments increasingly complex, which brings a great challenge to network communication. The issues...

DOAJ Open Access (DOAJ) DOI: 10.3390/app10175909

The Earnings Management Strategy of List Companies in Pearl River Delta Region of China Based on Complex Network Theory

Run-Hua Zhao, Jie Cheng, Nai-Ru Xu • Complexity (2020)

This paper aims to detect the methods of earnings management in Pearl River Delta region of China. The data were selected based on the list companies of Pearl River Delta region from 2008 to 2019 and the balanced panel analysis was adopted ...

DOAJ Open Access (DOAJ) DOI: 10.1155/2020/6650193

Research on scientific research system resilience based on WoS data

Feng Zhang, Aolin Wang, Nanrong He, Xiaojing Chen et al. • International Journal of Innovation Studies (2026)

In recent years, research systems have faced increasingly complex sustainability challenges, and improving system resilience has become the key to ensuring their continuous and efficient operation. Based on the data of Web of Science co-aut...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijis.2026.100182

Decoding cross-cultural textbook networks: structural patterns, formation mechanisms, and predictive insights using a topology–cognition framework

Min Xia, Xiu-Mei Feng, Wei-Bing Deng, Ben-Wei Zhang • EPJ Data Science (2026)

Abstract Conventional textbook analysis often faces fragmented frameworks, obscuring the relationship between content structure and cognitive development. To address this gap, we propose an integrative computational modeling framework that ...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjds/s13688-026-00664-z

The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil

Vander Luis de Souza Freitas, Thais Cláudia Roma de Oliveira Konstantyner, Jeferson Feitosa Mendes, Cátia Souza do Nascimento Sepetauskas et al. • Cadernos de Saúde Pública (2020)

The inter-cities mobility network is of great importance in understanding outbreaks, especially in Brazil, a continental-dimension country. We adopt the data from the Brazilian Ministry of Health and the terrestrial flow of people between c...

DOAJ Open Access (DOAJ) DOI: 10.1590/0102-311x00184820

Training‐Efficient Personalised Knee Joint Moment Estimation via an Incremental Broad Learning System

Guoyu Zuo, Minghui Zhang, Jingwei Ren, Qifei Wu et al. • CAAI Transactions on Intelligence Technology (2026)

ABSTRACT Knee joint moment estimation is a critical component in biomechanical analysis, with profound implications for rehabilitation assessment and the development of assistive devices like exoskeletons. However, existing data‐driven appr...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.70165

How structure determines correlations in neuronal networks.

Volker Pernice, Benjamin Staude, Stefano Cardanobile, Stefan Rotter • PLoS Computational Biology (2011)

Networks are becoming a ubiquitous metaphor for the understanding of complex biological systems, spanning the range between molecular signalling pathways, neural networks in the brain, and interacting species in a food web. In many models, ...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pcbi.1002059

A Complex Network Epidemiological Approach for Infectious Disease Spread Control with Time-Varying Connections

Alma Y. Alanis, Gustavo Munoz-Gomez, Nancy F. Ramirez, Oscar D. Sanchez et al. • Algorithms (2024)

This work introduces an impulsive neural control algorithm designed to mitigate the spread of epidemic diseases. The objective of this paper is the development of a vaccination strategy based on a PIN-type impulsive controller based on an o...

DOAJ Open Access (DOAJ) DOI: 10.3390/a17120577

A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance

Ya Zhang, Ravie Chandren Muniyandi, Faizan Qamar • Applied Sciences (2025)

In the rapid development of the Internet of Things (IoT) and large-scale distributed networks, Intrusion Detection Systems (IDS) face significant challenges in handling complex spatiotemporal features and addressing data imbalance issues. T...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15031552