Up a level |
Riccardo Pignari. Impact of Encoding Techniques on the Classification of Raw Time-Variant Signals with Spiking Neural Networks. Rel. Gianvito Urgese, Evelina Forno, Vittorio Fra. Politecnico di Torino, Corso di laurea magistrale in Physics Of Complex Systems (Fisica Dei Sistemi Complessi), 2022
Andrea Pignata. Development of a synchronized acquisition system based on a BLE-sensor network for real time IoT applications. Rel. Gianvito Urgese, Vittorio Fra, Evelina Forno, Walter Gallego Gomez. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2022
Marco Bramini. Designing an end-to-end Pipeline for Developing and Deploying IoT Solutions on Embedded Neuromorphic Platforms. Rel. Gianvito Urgese, Giacomo Indiveri, Vittorio Fra. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023