| Autors: Marinov, M. B., Djermanova N J., Ganev, B. T., Janchevska E. Title: Performance Evaluation of Low-cost Carbon Dioxide Sensors Keywords: arbon dioxide; Correlation; Linear regression; NDIR gas sens References Issue
Copyright IEEE |
Цитирания (Citation/s):
1. Demanega I, Mujan I, Singer BC, Anđelković AS, Babich F, Licina D. Performance assessment of low-cost environmental monitors and single sensors under variable indoor air quality and thermal conditions. Build Environ, 2021, DOI 10.1016/j.buildenv.2020.107415 - 2021 - в издания, индексирани в Scopus или Web of Science
2. Alfano B, Barretta L, Giudice AD, De Vito S, Francia GD, Esposito E, Formisano F, Massera E, Miglietta ML, Polichetti T. A review of low-cost particulate matter sensors from the developers’ perspectives. Sensors. 2020;20(23):1-56.Journal of Nondestructive Evaluation, 38 (1), art. no. 29, ISSN 14248220, DOI 10.3390/s20236819 - 2020 - в издания, индексирани в Scopus или Web of Science
3. Li, S.Review of Engineering Controls for Indoor Air Quality: A Systems Design Perspective. Sustainability (Switzerland) 15(19),14232.2023. DOI: 10.3390/su151914232 - 2023 - в издания, индексирани в Scopus или Web of Science
4. Gabriel, M., Auer, T. LSTM Deep Learning Models for Virtual Sensing of Indoor Air Pollutants: A Feasible Alternative to Physical Sensors. Buildings 13(7),1684. DOI 10.3390/buildings13071684. 2023 - 2023 - в издания, индексирани в Scopus или Web of Science
Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus
