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DyNeMo is a project that develops a scalable framework using machine learning to model dynamic behaviors in networks. It aims to address significant questions related to socio-environmental impacts and predict failures in water distribution systems.
Networks are ubiquitous in the society, technology, biology and economy.
Being able to perform accurate inference and prediction on such data is highly non-trivial due to their large size and complex dynamic behaviour.
In many networks such as social ones, connectivity patterns and network structurechange dynamically.
On the other hand, technological networks such as water systems have fixed structure but dynamic processes might take place on them appear, such as failures.
DyNeMo is a cross-disc…
UNIVERSITY OF CYPRUS
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