Results 21 to 30 of about 626 (166)

A Survey on Frameworks Used for Robustness Analysis on Interdependent Networks

Complexity, 2020
The analysis of network robustness tackles the problem of studying how a complex network behaves under adverse scenarios, such as failures or attacks. In particular, the analysis of interdependent networks’ robustness focuses on the specific case of the ...
Ivana Bachmann, Javier Bustos-Jiménez, Benjamin Bustos   +2 more
doaj   +1 more source

A Framework for Subgraph Detection in Interdependent Networks via Graph Block-Structured Optimization

IEEE Access, 2020
As the backbone of many real-world complex systems, networks interact with others in nontrivial ways from time to time. It is a challenging problem to detect subgraphs that have dependencies on each other across multiple networks.
Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu   +4 more
doaj   +1 more source

Control–Flight Conflict Interdependent Network Based Controllers’ Workload Prediction Evaluation Study

Applied Sciences, 2022
As the core link of the air traffic control system, the evaluation and management of controllers’ workload are of great significance for the rapid development of China’s civil aviation industry and aviation safety.
Yuming Heng, Minggong Wu, Xiangxi Wen, Fugen Lin   +3 more
doaj   +1 more source

A Secure Object Detection Technique for Intelligent Transportation Systems

IEEE Open Journal of Intelligent Transportation Systems
Federated Learning is a decentralized machine learning technique that creates a global model by aggregating local models from multiple edge devices without a need to access the local data.
Jueal Mia, M. Hadi Amini
doaj   +1 more source

The simplified self-consistent probabilities method for percolation and its application to interdependent networks

New Journal of Physics, 2015
Interdependent networks in areas ranging from infrastructure to economics are ubiquitous in our society, and the study of their cascading behaviors using percolation theory has attracted much attention in recent years.
Ling Feng, Christopher Pineda Monterola, Yanqing Hu   +2 more
doaj   +1 more source

Fragility Induced by Interdependency of Complex Networks and Their Higher-Order Networks

Entropy, 2022
The higher-order structure of networks is a hot research topic in complex networks. It has received much attention because it is closely related to the functionality of networks, such as network transportation and propagation.
Chengjun Zhang, Yi Lei, Xinyu Shen, Qi Li, Hui Yao, Di Cheng, Yifan Xie, Wenbin Yu   +7 more
doaj   +1 more source

Research on the Robustness of Interdependent Networks under Localized Attack

Applied Sciences, 2017
Critical infrastructures (CI) are the cornerstone of modern society, and they are connected with each other through material, energy, or information.
Junde Wang, Songyang Lao, Yirun Ruan, Liang Bai, Lvlin Hou   +4 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Identification of Sparse Interdependent Edges in Heterogeneous Network Models via Greedy Module Matching

Modelling
The identification of interdependent edges plays a critical role in improving information propagation efficiency and enhancing network robustness in interdependent networks.
Qingyu Zou, Yue Gong
doaj   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source