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20222026
most citedAdapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics

14 citations · 14 across the 15 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

physics.bio-ph2024

Modelling Mosquito Population Dynamics using PINN-derived Empirical Parameters

Branislava Lalic, Dinh Viet Cuong, Mina Petric +3

Vector-borne diseases continue to pose a significant health threat globally with more than 3 billion people at risk each year. Despite some limitations, mechanistic dynamic models…

cs.DB2024

Query Based Construction of Chronic Disease Datasets

Vuong M. Ngo, Geetika Sood, Patricia Kearney +3

The RECONNECT project addresses the fragmentation of Ireland's public healthcare systems, aiming to enhance service planning and delivery for chronic disease management. By integra…

q-bio.PE2024★ 14 cited

Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics

Dinh Viet Cuong, Branislava Lalić, Mina Petrić +2

Physics informed neural networks have been gaining popularity due to their unique ability to incorporate physics laws into data-driven models, ensuring that the predictions are not…

cs.CY2024

A Framework for Spatio-Temporal Graph Analytics In Field Sports

Valerio Antonini, Michael Scriney, Alessandra Mileo +1

The global sports analytics industry has a market value of USD 3.78 billion in 2023. The increase of wearables such as GPS sensors has provided analysts with large fine-grained dat…

cs.SI2024

Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System

Mark Roantree, Niamh Murphi, Dinh Viet Cuong +1

Bike-sharing systems (BSSs) are deployed in over a thousand cities worldwide and play an important role in many urban transportation systems. BSSs alleviate congestion, reduce poll…