skip to main content
Idioma:
Refinado por: Nome da Publicação: International Journal of Environment and Pollution remover tipo de recurso: Artigos remover
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area
Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area
Material Type:
Artigo 		Adicionar ao Meu Espaço

Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area

Roberto Guardani 1953- Cláudio Augusto Oller do Nascimento 1952-

International Journal of Environment and Pollution, Géneve, v.22, n.4, 2004

Géneve 2004

Item não circula. Consulte sua biblioteca.(Acessar)

2
Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area
Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area
Material Type:
Artigo 		Adicionar ao Meu Espaço

Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the São Paulo metropolitan area

Roberto Guardani 1953- Cláudio Augusto Oller do Nascimento 1952-

International Journal of Environment and Pollution, Géneve, v.22, n.4, 2004

Géneve 2004

Item não circula. Consulte sua biblioteca.(Acessar)

3
Relation between ozone levels and 'No IND. x' and VOC emissions in the São Paulo Metropolitan Area for an episode of August, 1998
Relation between ozone levels and 'No IND. x' and VOC emissions in the São Paulo Metropolitan Area for an episode of August, 1998
Material Type:
Artigo 		Adicionar ao Meu Espaço

Relation between ozone levels and 'No IND. x' and VOC emissions in the São Paulo Metropolitan Area for an episode of August, 1998

Marta G Vivanco Maria de Fátima Andrade

International Journal of Environment and Pollution Geneva v. 35, p. 90-98, 2008

Geneva 2008

Item não circula. Consulte sua biblioteca.(Acessar)

4
Ground-level ozone prediction using a neural network model based on meteorological variables and applied to the metropolitan area of São Paulo
Ground-level ozone prediction using a neural network model based on meteorological variables and applied to the metropolitan area of São Paulo
Material Type:
Artigo 		Adicionar ao Meu Espaço

Ground-level ozone prediction using a neural network model based on meteorological variables and applied to the metropolitan area of São Paulo

Alessandro Santos Borges Maria de Fátima Andrade; Roberto Guardani 1953-

International Journal of Environment and Pollution Geneva v. 49, n. 1/2, p. 1-15, 2012

Geneva 2012

Item não circula. Consulte sua biblioteca.(Acessar)

5
Relation between ozone levels and 'No IND. x' and VOC emissions in the São Paulo Metropolitan Area for an episode of August, 1998
Relation between ozone levels and 'No IND. x' and VOC emissions in the São Paulo Metropolitan Area for an episode of August, 1998
Material Type:
Artigo 		Adicionar ao Meu Espaço

Relation between ozone levels and 'No IND. x' and VOC emissions in the São Paulo Metropolitan Area for an episode of August, 1998

Marta G Vivanco Maria de Fátima Andrade

International Journal of Environment and Pollution Geneva v. 35, p. 90-98, 2008

Geneva 2008

Item não circula. Consulte sua biblioteca.(Acessar)

Personalize Seus Resultados

  1. Editar

Refine Search Results

Expandir Meus Resultados

  1.   

Data de Publicação 

De até
Refinar

Novas Pesquisas Sugeridas

Ignorar minha busca e procurar por tudo

Deste Autor:

  1. Andrade, M
  2. Guardani, R
  3. Nascimento, C
  4. Vivanco, M
  5. Borges, A

Neste Assunto:

  1. Ozônio
  2. Poluição Atmosférica
  3. Áreas Metropolitanas
  4. Meio Ambiente
  5. Redes Neurais

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.