Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Rachid Laref"'
Publikováno v:
Sensors, Vol 21, Iss 11, p 3581 (2021)
This paper investigates the long term drift phenomenon affecting electrochemical sensors used in real environmental conditions to monitor the nitrogen dioxide concentration [NO2]. Electrochemical sensors are low-cost gas sensors able to detect pollut
Externí odkaz:
https://doaj.org/article/1f8ab8eaadab4669b8cc33c5c0919ffd
Publikováno v:
Sensors, Vol 18, Iss 11, p 3716 (2018)
Recently, the emergence of low-cost sensors have allowed electronic noses to be considered for densifying the actual air pollution monitoring networks in urban areas. Electronic noses are affected by changes in environmental conditions and sensor dri
Externí odkaz:
https://doaj.org/article/0027f03cf6fb45e69d4b82f6adcfae50
Publikováno v:
2021 International Conference on Control, Automation and Diagnosis (ICCAD).
Publikováno v:
The 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry.
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 11
Sensors, Vol 21, Iss 3581, p 3581 (2021)
Sensors
Volume 21
Issue 11
Sensors, Vol 21, Iss 3581, p 3581 (2021)
This paper investigates the long term drift phenomenon affecting electrochemical sensors used in real environmental conditions to monitor the nitrogen dioxide concentration [NO2]. Electrochemical sensors are low-cost gas sensors able to detect pollut
Publikováno v:
IDAACS
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), LCOMS, Université de Lorraine, France; Research Institute for Intelligent Computer Systems de Termopil National Economic University, Ukraine, Sep 2019, Metz, France. ⟨10.1109/IDAACS.2019.8924320⟩
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), LCOMS, Université de Lorraine, France; Research Institute for Intelligent Computer Systems de Termopil National Economic University, Ukraine, Sep 2019, Metz, France. ⟨10.1109/IDAACS.2019.8924320⟩
International audience; In recent years, many laboratory studies show that low cost systems based on electrochemical and metal oxide gas sensors can be a promising alternative to densify the actual air pollution monitoring networks. However, real env
Publikováno v:
Sensors
Sensors, MDPI, 2018, 18 (11), pp.3716. ⟨10.3390/s18113716⟩
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 11, p 3716 (2018)
Volume 18
Issue 11
Sensors, MDPI, 2018, 18 (11), pp.3716. ⟨10.3390/s18113716⟩
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 11, p 3716 (2018)
Volume 18
Issue 11
International audience; Recently, the emergence of low-cost sensors have allowed electronic noses to be considered for densifying the actual air pollution monitoring networks in urban areas. Electronic noses are affected by changes in environmental c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1b0e26f5b9c639e97a7f7f298d0efda
https://hal.univ-lorraine.fr/hal-03018422
https://hal.univ-lorraine.fr/hal-03018422
Publikováno v:
2018 IEEE International Conference on Industrial Technology (ICIT)
2018 IEEE International Conference on Industrial Technology (ICIT), Université de Lyon, France; Université Claude Bernard 1, France; Laboratoire AMPERE-CNRS, France; Laboratoire SATIE, France, Feb 2018, Lyon, France. ⟨10.1109/ICIT.2018.8352372⟩
ICIT
2018 IEEE International Conference on Industrial Technology (ICIT), Université de Lyon, France; Université Claude Bernard 1, France; Laboratoire AMPERE-CNRS, France; Laboratoire SATIE, France, Feb 2018, Lyon, France. ⟨10.1109/ICIT.2018.8352372⟩
ICIT
International audience; The present paper deals with gas concentration monitoring based on an electronic nose. The proposed approach investigates two regression methods for gas concentration estimation: the first is the most used in gas quantificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f21130980b51858ed4d5d95324c27870
https://hal.univ-lorraine.fr/hal-03018853
https://hal.univ-lorraine.fr/hal-03018853