90 citations · 93 across the 5 of their papers we have counts for
5 papers
Machine Learning to Predict Slot Usage in TSCH Wireless Sensor Networks
Stefano Scanzio, Gabriele Formis, Tullio Facchinetti +1
Wireless sensor networks (WSNs) are employed across a wide range of industrial applications where ultra-low power consumption is a critical prerequisite. At the same time, these sy…
Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers
Martin Joel Mouk Elele, Danilo Pau, Shixin Zhuang +1
The deployment of neural networks on resource-constrained micro-controllers has gained momentum, driving many advancements in Tiny Neural Networks. This paper introduces a tiny fee…
Wireless Sensor Networks based on TSCH/TDMA with Power Consumption and Latency Constraints
Stefano Scanzio, Gabriele Formis, Tullio Facchinetti +2
One of the main goals of wireless sensor networks is to permit the involved nodes to communicate with low energy budgets, as they are typically battery-powered. When such networks…
Detecting and classifying moments in basketball matches using sensor tracked data
Tullio Facchinetti, Rodolfo Metulini, Paola Zuccolotto
Data analytics in sports is crucial to evaluate the performance of single players and the whole team. The literature proposes a number of tools for both offence and defence scenari…
Online Fall Detection using Recurrent Neural Networks
Mirto Musci, Daniele De Martini, Nicola Blago +2
Unintentional falls can cause severe injuries and even death, especially if no immediate assistance is given. The aim of Fall Detection Systems (FDSs) is to detect an occurring fal…