Cargando…
Computation of the Airborne Contaminant Transport in Urban Area by the Artificial Neural Network
Providing the real-time working system able to localize the dangerous contaminant source is one of the main challenges of the cities emergency response groups. Unfortunately, all proposed up to now frameworks capable of estimating the contamination source localization based on recorded by the sensor...
Autores principales: | Wawrzynczak, Anna, Berendt-Marchel, Monika |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302839/ http://dx.doi.org/10.1007/978-3-030-50417-5_30 |
Ejemplares similares
-
The Macroecology of Airborne Pollen in Australian and New Zealand Urban Areas
por: Haberle, Simon G., et al.
Publicado: (2014) -
Numerical investigation of airborne contaminant transport under different vortex structures in the aircraft cabin
por: Li, Fei, et al.
Publicado: (2016) -
Airborne biological hazards and urban transport infrastructure: current challenges and future directions
por: Nasir, Zaheer Ahmad, et al.
Publicado: (2016) -
Impact of the Cathode Pt Loading on PEMFC Contamination by Several Airborne Contaminants
por: St-Pierre, Jean, et al.
Publicado: (2020) -
Protocol for identification of airborne asbestos fibres in the urban areas and spatio-temporal trend
por: Hajizadeh, Yaghoub, et al.
Publicado: (2019)