This research project aims to analyze and compare the environmental impact of various architectures used in activity recognition systems, with a focus optimizing the balance between (enough) quality of service (QoS) and sustainability. Specifically, the project will focus on the data life-cycle that flows through the three distinct architectural approaches—device-based, edge-based, and cloud-based— considering the […]
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