A5032121414- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
- Coral and Marine Ecosystems Studies
- Distributed Control Multi-Agent Systems
- Advanced Sensor and Control Systems
- Complex Network Analysis Techniques
- Advanced Algorithms and Applications
- Advanced Memory and Neural Computing
- Advanced Control Systems Optimization
- Industrial Technology and Control Systems
- Opinion Dynamics and Social Influence
- Chaos control and synchronization
- stochastic dynamics and bifurcation
- Chaos-based Image/Signal Encryption
- Microbial Community Ecology and Physiology
- Evaluation and Optimization Models
- Fault Detection and Control Systems
- Geological and Geophysical Studies
- Evaluation Methods in Various Fields
- Paleontology and Stratigraphy of Fossils
- Biometric Identification and Security
- Microbial bioremediation and biosurfactants
- 3D Shape Modeling and Analysis
- Enhanced Oil Recovery Techniques
- Biosensors and Analytical Detection
Xiangtan University
2021-2025
117th Hospital of People's Liberation Army
2025
Gansu University of Traditional Chinese Medicine
2024
Sichuan University of Science and Engineering
2010-2024
South China Sea Institute Of Oceanology
2018-2024
Institute of Oceanology
2018-2024
Chinese Academy of Sciences
2011-2024
Beijing Academy of Artificial Intelligence
2024
Shihezi University
2024
State Grid Corporation of China (China)
2024
Topological properties of networks are widely applied to study the link-prediction problem recently. Common Neighbors, for example, is a natural yet efficient framework. Many variants Neighbors have been thus proposed further boost discriminative resolution candidate links. In this paper, we reexamine role network topology in predicting missing links from perspective information theory, and present practical approach based on mutual structures. It not only can improve prediction accuracy...
Cascading failures of loads in isolated networks under random or intentional attacks have been studied the past decade. The corresponding results for interconnected remain missing. In this paper we extend cascading failure model used to case networks, and study cascades a data-packet transport scenario. We find that sparse coupling, enhancing coupling probability can make more robust against attacks, but keeping increasing has opposite effect dense coupling. Additionally, optimal is largely...
Organic electrochemical transistors (OECTs) are successfully used for the detection of bacteria (E. coli O157:H7) in KCl electrolytes. The transfer characteristic OECT shifts to higher gate voltage after captured on active layer device, which can be attributed electrostatic interaction between and transistor. with a Pt electrode shows shift up 55 mV capture bacteria. influence ion concentration electrolyte device performance is also studied. It expected that organic will find promising...
Traffic congestion in isolated complex networks has been investigated extensively over the last decade. Coupled network models have recently developed to facilitate further understanding of real systems. Analysis traffic coupled networks, however, is still relatively unexplored. In this paper, we try explore effect interconnections on interconnected BA scale-free networks. We find that assortative coupling can alleviate more readily than disassortative and random when node processing...
In this paper, based on the exponential synchronization of double-layered networks composed multiple subnets, we bring forward a chaotic secure communication scheme, which is robust to different network sizes, time-varying delays, and stochastic noise. Cluster analysis used process nodes with dynamics, such that subnets in transmitter receiver are one-to-one correspondence constitute subnet pairs, while node size each can be inconsistent. Each pair only accountable for encrypting/decrypting...
Rapid and precise 3D organ segmentation is crucial for the automatic extraction of phenotypic traits, forming a fundamental prerequisite intelligent plant breeding. The advancement deep learning technology has replaced labor-intensive manual measurements traditional computer vision methods, which are sensitive to parameters, in trait extraction. However, current larger network structures not only require extensive point cloud data but also consume substantial computational resources,...
This paper mainly studies the synchronization problem of memristor-based bidirectional associative memory neural networks (MBAMNNs) via finite-time technology. Different from existing network dynamic models, given model in this is focused on impact parameter perturbation and strong mismatch, where mismatch includes time-varying delay mismatch. These characteristics can make be closer to actual situation. A delay-independent feedback control scheme, which stabilize error system within...
Abstract It is known that chaotic, especially hyperchaotic system can be suitable for the application in image encryption owing to itself characteristics. While currently, certain improved chaotic or systems are confronted with security issue of due their less complex dynamical behaviors. To address problem well, we introduce a novel two-dimensional (2D) crossed map which based on logistic and infinite collapse map. The analysis phase diagram Lyapunov exponential spectrum demonstrate given...
Interdependent networks have been shown to be extremely vulnerable based on the percolation model. Parshani et al. [Europhys. Lett. 92, 68002 (2010)] further indicated that more intersimilar are, robust they are random failures. When traffic load is considered, how do coupling patterns impact cascading failures in interdependent networks? This question has largely unexplored until now. In this paper, we address by investigating robustness of Erd\"os-R\'enyi graphs and Barab\'asi-Albert...
Although coral bleaching caused by high temperatures has attracted great concern, the response of microbiome to not been thoroughly explored. In this study, bacterial communities from 26 genera semi-bleached in South China Sea were studied using high-throughput sequencing during El Niño. Principal coordinates analysis (PCoA) indicated that effect early exceeded species on communities. Bleaching significant changes Burkholderiales, Caulobacterales, Pseudomonadales, Cytophagales,...