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A review of graph neural networks in epidemic modeling
Since the onset of the COVID-19 pandemic, there has been a growing interest in studying
epidemiological models. Traditional mechanistic models mathematically describe the …
epidemiological models. Traditional mechanistic models mathematically describe the …
Self-supervised transformer architecture for change detection in radio access networks
Radio Access Networks (RANs) for telecommunications represent large agglomerations of
interconnected hardware consisting of hundreds of thousands of transmitting devices (cells) …
interconnected hardware consisting of hundreds of thousands of transmitting devices (cells) …
Monitoring university student response to social distancing policy during the SARS-CoV-2 pandemic using Bluetooth: the RADAR study
KJ Bolton, A Mendez-Villalon, H Nanji… - … in Medical and Life …, 2024 - Taylor & Francis
This paper is part of a special issue on Behavioural Epidemiology. Aim: We use the Remote
Assessment of Disease and Relapses platform (RADAR) to collect Bluetooth contact and …
Assessment of Disease and Relapses platform (RADAR) to collect Bluetooth contact and …