Zobrazeno 1 - 10
of 442
pro vyhledávání: '"Jarvis, Stephen A"'
Publikováno v:
Computers in Biology and Medicine 134 (2021) 104369
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, monitoring and understanding the spread of the virus and infection rates and
Externí odkaz:
http://arxiv.org/abs/2011.11381
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 imagery. Precise population estimates are a crucial factor for efficient r
Externí odkaz:
http://arxiv.org/abs/2009.08410
Autor:
Steadman, Liam, Griffiths, Nathan, Jarvis, Stephen, Bell, Mark, Helman, Shaun, Wallbank, Caroline
Analysing and learning from spatio-temporal datasets is an important process in many domains, including transportation, healthcare and meteorology. In particular, data collected by sensors in the environment allows us to understand and model the proc
Externí odkaz:
http://arxiv.org/abs/2005.08111
Publikováno v:
IEEE Transactions on Computers. vol. 70, pp. 655-668 (2020)
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 challenging to guarantee the efficiency of FL considering the unreliable natu
Externí odkaz:
http://arxiv.org/abs/1910.01355
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 normality. Trophic levels of vertices can reveal their functional properti
Externí odkaz:
http://arxiv.org/abs/1908.04358
Developing an Unsupervised Real-time Anomaly Detection Scheme for Time Series with Multi-seasonality
On-line detection of anomalies in time series is a key technique used in various event-sensitive scenarios such as robotic system monitoring, smart sensor networks and data center security. However, the increasing diversity of data sources and the va
Externí odkaz:
http://arxiv.org/abs/1908.01146
Autor:
Pagani, Alessio, Mosquera, Guillem, Alturki, Aseel, Johnson, Samuel, Jarvis, Stephen, Wilson, Alan, Guo, Weisi, Varga, Liz
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 not fully understand their vulnerabilities to cascade failures. The rese
Externí odkaz:
http://arxiv.org/abs/1811.06285
We present a novel approach to estimate the delay observed between the occurrence and reporting of rape crimes. We explore spatial, temporal and social effects in sparse aggregated (area-level) and high-dimensional disaggregated (event-level) data fo
Externí odkaz:
http://arxiv.org/abs/1811.03939
Bikesharing schemes are transportation systems that not only provide an efficient mode of transportation in congested urban areas, but also improve last-mile connectivity with public transportation and local accessibility. Bikesharing schemes around
Externí odkaz:
http://arxiv.org/abs/1804.05584