7 citations · 8 across the 2 of their papers we have counts for
8 papers
Elementary Effects Analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of Social Distancing and Mask Usage
Kelvin K. F. Li, Stephen A. Jarvis, Fayyaz Minhas
COVID-19 was declared a pandemic by the World Health Organization (WHO) on March 11th, 2020. With half of the world's countries in lockdown as of April due to this pandemic, monito…
Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth
Konstantin Klemmer, Godwin Yeboah, João Porto de Albuquerque +1
We propose a generalizable framework for the population estimation of dense, informal settlements in low-income urban areas--so called 'slums'--using high-resolution satellite imag…
kD-STR: A Method for Spatio-Temporal Data Reduction and Modelling
Liam Steadman, Nathan Griffiths, Stephen Jarvis +3
Analysing and learning from spatio-temporal datasets is an important process in many domains, including transportation, healthcare and meteorology. In particular, data collected by…
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead
Wentai Wu, Ligang He, Weiwei Lin +3
Federated learning (FL) has attracted increasing attention as a promising approach to driving a vast number of end devices with artificial intelligence. However, it is very challen…
Graph Hierarchy: A novel approach to understanding hierarchical structures in complex networks
Giannis Moutsinas, Choudhry Shuaib, Weisi Guo +1
Trophic coherence, a measure of a graph's hierarchical organisation, has been shown to be linked to a graph's structural and dynamical aspects such as cyclicity, stability and norm…
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…