Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Francesco Mosciano"'
Publikováno v:
Sensors and Actuators B: Chemical. 258:1242-1251
Inconstancy and scarce reproducibility limit the online application of chemical sensor arrays. Most of the attempts to counteract these issues are based on adaptive classifiers, namely models that also change to keep pace with fluctuations in the inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ad7f4a12dc388da6c65522a0cfc53d2
https://doi.org/10.1016/j.snb.2017.12.005
https://doi.org/10.1016/j.snb.2017.12.005
Autor:
Corrado Di Natale, Francesco Mosciano, Björn Schuller, Fabien Ringeval, Arianna Mencattini, Eugenio Martinelli
Publikováno v:
Sensors and Actuators A: Physical
Sensors and Actuators A: Physical, Elsevier, 2017, 267, pp.48-59
Sensors and Actuators A: Physical, Elsevier, 2017, 267, pp.48-59
Several studies demonstrate that since emotions are spontaneously manifested through different measurable quantities (e.g. vocal and facial expressions), this makes possible a sort of automatic estimation of emotion from objective measurements. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe9c5b230caa9083ce2761baf57b5437
https://doi.org/10.1016/j.sna.2017.09.056
https://doi.org/10.1016/j.sna.2017.09.056
Autor:
Fabien Ringeval, Francesco Mosciano, Björn Schuller, Arianna Mencattini, Corrado Di Natale, Grazia Raguso, Tania Di Gregorio, Elena Daprati, Maria Colomba Comes, Eugenio Martinelli
Publikováno v:
Scientific Reports
Scientific Reports, Nature Publishing Group, 2018, 8, pp.14487. ⟨10.1038/s41598-018-32454-7⟩
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Scientific Reports, Nature Publishing Group, 2018, 8, pp.14487. ⟨10.1038/s41598-018-32454-7⟩
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
In recent years, applications like Apple’s Siri or Microsoft’s Cortana have created the illusion that one can actually “chat” with a machine. However, a perfectly natural human-machine interaction is far from real as none of these tools can e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd280394d5c2e23c0af46d7ca78377f8
https://hal.archives-ouvertes.fr/hal-01993360
https://hal.archives-ouvertes.fr/hal-01993360
Publikováno v:
Procedia Engineering. 120:249-252
In this work, we illustrate an autonomous and real-time reconfigurable classifier. The algorithm starts from a non-adaptive classifier and evolves during the routine operation of sensors providing a dynamic optimization of the feature selection and r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::818c0ab12c4caca628e12f535df487d0
Autor:
C. Di Natale, Giuseppe Pomarico, Francesco Mosciano, Roberto Paolesse, Gabriele Magna, Eugenio Martinelli
Hybrid materials formed by a layer of dye molecules over a wide-band gap semiconductor, are widely studied mainly for optoelectronic and photovoltaic applications. However, besides the conversion of visible photons into an excess of carriers, the com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f967fc8ba169806ca6d17f1dd49ceec
http://hdl.handle.net/11379/517177
http://hdl.handle.net/11379/517177
Autor:
Giuseppe Pomarico, Gabriele Magna, C. Di Natale, Eugenio Martinelli, Francesco Mosciano, Alexandro Catini, Roberto Paolesse
Publikováno v:
Procedia Engineering. :71-74
Porphyrins are the natural candidates to the detection of carbon monoxide however the physical properties of solid-state layers of porphyrins limit their use as gas sensors mainly with mass and optical transducers. Recently we shown that the photonic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b51dfe9532e9dd0d2f4930311bf9c5e