dc.contributor.author | Xie, Chen | |
dc.contributor.author | Daghero, Francesco | |
dc.contributor.author | Chen, Yukai | |
dc.contributor.author | Castellano, Marco | |
dc.contributor.author | Gandolfi, Luca | |
dc.contributor.author | Calimera, Andrea | |
dc.contributor.author | Macii, Enrico | |
dc.contributor.author | Poncino, Massimo | |
dc.contributor.author | Pagliari, Daniele Jahier | |
dc.date.accessioned | 2024-02-28T10:52:07Z | |
dc.date.available | 2023-08-21T18:00:49Z | |
dc.date.available | 2024-02-28T10:52:07Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 2327-4662 | |
dc.identifier.other | WOS:001037986000059 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/42380.3 | |
dc.source | WOS | |
dc.title | Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays | |
dc.type | Journal article | |
dc.contributor.imecauthor | Chen, Yukai | |
dc.contributor.orcidimec | Chen, Yukai::0000-0003-3378-887X | |
dc.date.embargo | 2023-09-30 | |
dc.identifier.doi | 10.1109/JIOT.2023.3263290 | |
dc.source.numberofpages | 13 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 13895 | |
dc.source.endpage | 13907 | |
dc.source.journal | IEEE INTERNET OF THINGS JOURNAL | |
dc.source.issue | 15 | |
dc.source.volume | 10 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This work was supported by the ECSEL Joint Undertaking (JU) under Grant 101007321. The JU receives support from the European Union's Horizon 2020 Research and Innovation Programme and France, Belgium, Czech Republic, Germany, Italy, Sweden, Switzerland, Turkey.& nbsp; | |