Pet immunity for PIR sensors using deep learning.

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dc.contributor.authorPaleček Karelcs
dc.contributor.authorChaloupka Josefcs
dc.date.accessioned2022-01-29T18:14:30Z
dc.date.available12-37-2021en
dc.date.available2022-01-29T18:14:30Z
dc.date.issued2020cs
dc.format.extent4cs
dc.identifier.doi10.1109/TSP49548.2020.9163506
dc.identifier.isbn978-1-72816-376-5cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/161651
dc.language.isoengcs
dc.publisherIEEEcs
dc.publisher.cityMilan, Italycs
dc.relation.ispartof43rd International Conference on Telecommunications and Signal Processing, TSP 2020en
dc.relation.ispartofseries1cs
dc.relation.urihttps://ieeexplore.ieee.org/abstract/document/9163506cs
dc.riv.kontrolni-cislo192242250cs
dc.riv.specifikaceRIV/46747885:24220/20:00008348!RIV21-TA0-24220___cs
dc.subjectconvolutional neural networkscs
dc.subjectembedded systemscs
dc.subjecthome surveillancecs
dc.subjectimage classificationcs
dc.subjectPIR sensorscs
dc.titlePet immunity for PIR sensors using deep learning.en
dc.titlePet immunity for PIR sensors using deep learningcs
local.citation.epage342-345cs
local.citation.spage342-345cs
local.event.locationon-line,Milan, Italyen
local.identifier.publikace8348
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