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Main Authors: Cosoli, Gloria, Casaccia, Sara, PISELLO, ANNA LAURA, Scardulla, Francesco, Dianel Ago, Mansi, Silvia Angela, SARTINI, GIANLUCA, Martins Gnecco, Veronica, Tomar, Puneet, ARNESANO, MARCO
Format: Recurso digital
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Published: Zenodo 2026
Subjects:
personalized comfort
well-being
built environment
PCM
physiological signals
Machine Learning
signal processing
Online Access:https://doi.org/10.5281/zenodo.19388267
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Table of Contents:
  • <p>This repository contains the scientific production of the WEPOP project (entirely as open access versions), namely:</p> <ul> <li>n. 6 papers in scientific journals</li> <li>n. 7 conference proceedings</li> <li>n. 1 data descriptor</li> </ul> <p>The DOIs of all the publicazions are reported in the Related work section.</p> <p>Acknowledgements</p> <p>This research was co-funded by the Italian Ministry of Research through the WEPOP (Prot.2022RKLB3J) ‘’WEarable Platform for OptImised Personal comfort’’ project, within the PRIN 2022 program.</p>

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