5 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 1 cited
To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing
Maddalena Boscaro, Federico Mason, Federico Chiariotti +1
Artificial Intelligence (AI) is a key component of 6G networks, as it enables communication and computing services to adapt to end users' requirements and demand patterns. The mana…
cs.CY2021★ 5 cited
Analysis of geospatial behaviour of visitors of urban gardens: is positioning via smartphones a valid solution?
Francesco Pirotti, Alberto Guarnieri, Marco Piragnolo +2
Tracking locations is practical and speditive with smartphones, as they are omnipresent devices, relatively cheap, and have the necessary sensors for positioning and networking int…