4 citations · 7 across the 5 of their papers we have counts for
6 papers
Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics
Alessio Pagani, Zhuangkun Wei, Ricardo Silva +1
Infrastructure monitoring is critical for safe operations and sustainability. Water distribution networks (WDNs) are large-scale networked critical systems with complex cascade dyn…
Graph Input Representations for Machine Learning Applications in Urban Network Analysis
Alessio Pagani, Abhinav Mehrotra, Mirco Musolesi
Understanding and learning the characteristics of network paths has been of particular interest for decades and has led to several successful applications. Such analysis becomes ch…
Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK using Hierarchical Directed Graphs
Parya Broomandi, Xueyu Geng, Weisi Guo +3
Worldwide exposure to fine atmospheric particles can exasperate the risk of a wide range of heart and respiratory diseases, due to their ability to penetrate deep into the lungs an…
Quantifying Networked Resilience via Multi-Scale Feedback Loops in Water Distribution Networks
Alessio Pagani, Fanlin Meng, Guangtao Fu +2
Water distribution networks (WDNs) are one of the most important man-made infrastructures. Resilience, the ability to respond to disturbances and recover to a desirable state, is o…
Optimal Sampling of Water Distribution Network Dynamics using Graph Fourier Transform
Zhuangkun Wei, Alessio Pagani, Guangtao Fu +4
Water Distribution Networks (WDNs) are critical infrastructures that ensure safe drinking water. One of the major threats is the accidental or intentional injection of pollutants.…
Resilience or Robustness: Identifying Topological Vulnerabilities in Rail Networks
Alessio Pagani, Guillem Mosquera, Aseel Alturki +5
Many critical infrastructure systems have network structure and are under stress. Despite their national importance, the complexity of large-scale transport networks means we do no…