| _version_ | 1866902057849454592 |
|---|---|
| author | Cosoli, Gloria Casaccia, Sara PISELLO, ANNA LAURA Scardulla, Francesco Dianel Ago Mansi, Silvia Angela SARTINI, GIANLUCA Martins Gnecco, Veronica Tomar, Puneet ARNESANO, MARCO |
| author_facet | Cosoli, Gloria Casaccia, Sara PISELLO, ANNA LAURA Scardulla, Francesco Dianel Ago Mansi, Silvia Angela SARTINI, GIANLUCA Martins Gnecco, Veronica Tomar, Puneet ARNESANO, MARCO |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19388267 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | WEPOP project scientific production Cosoli, Gloria Casaccia, Sara PISELLO, ANNA LAURA Scardulla, Francesco Dianel Ago Mansi, Silvia Angela SARTINI, GIANLUCA Martins Gnecco, Veronica Tomar, Puneet ARNESANO, MARCO personalized comfort well-being built environment PCM physiological signals Machine Learning signal processing <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> |
| title | WEPOP project scientific production |
| topic | personalized comfort well-being built environment PCM physiological signals Machine Learning signal processing |
| url | https://doi.org/10.5281/zenodo.19388267 |