4 citations · 12 across the 4 of their papers we have counts for
3 papers · 1 filter
Accurate and Efficient Prediction of Wi-Fi Link Quality Based on Machine Learning
Gabriele Formis, Gianluca Cena, Lukasz Wisniewski +1
Wireless communications are characterized by their unpredictability, posing challenges for maintaining consistent communication quality. This paper presents a comprehensive analysi…
Executable QR codes with Machine Learning for Industrial Applications
Stefano Scanzio, Francesco Velluto, Matteo Rosani +2
Executable QR codes, also known as eQR codes or just sQRy, are a special kind of QR codes that embed programs conceived to run on mobile devices like smartphones. Since the program…
Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior
Gabriele Formis, Stefano Scanzio, Lukasz Wisniewski +1
Predicting the behavior of a wireless link in terms of, e.g., the frame delivery ratio, is a critical task for optimizing the performance of wireless industrial communication syste…