47 documents found, page 1 of 5
On the automated learning of air pollution prediction models from data collecte...
Mariano, P.; Almeida, S. M.; Santana, P.This paper addresses the problem of automated learning of air pollution predictive models that were trained using information gathered by a set of mobile low-cost sensors. Concretely, fast to compute machine learning methods (Decision Trees and Support Vector Machines) were used to build regression models that predict air pollution levels for a given location. The models were trained using the data collected by...
A serious game for raising air pollution perception in children
Relvas, T.; Mariano, P.; Almeida, S. M.; Santana, P.Concerns about air pollution have increased recently. Currently, 94% of the world population face air pollution levels considered unsafe by the World Health Organization, which tells us that efforts are needed to raise people’s awareness about air pollution. The use of serious games and gamification of interactive applications have raised people’s perception. This work presents Problems in the Air, a game devel...
An exploratory study for the implementation of the oxidative potential assessme...
Vicente, C.; Gonçalves, S.; Gamelas ou Carla A. Gamelas, Carla; Almeida, S. M.; Cabo Verde, S.; Bartolomeo, A. R.; Guascito, M. R.; Contini, D.Particulate matter (PM) is a harmful air pollutant that damages human health by inducing oxidative stress through the excessive generation of reactive oxygen species (ROS). Oxidative Potential (OP) is a proposed metric to measure PM's capacity to generate ROS (Almetwally et al., 2020; Jiang et al., 2019). This study aims to implement the OPDTT assessment methodology at C2TN (Portugal). A set of PM2.5 samples wa...
Impact of residential heating on PM2.5 levels and composition: effects of the e...
Almeida, S. M.; Canha, N.; Gamelas ou Carla A. Gamelas, Carla; Samek, L.; Ryś, A.; Kertész, Z.; Eleftheriadis, K.; Diapouli, E.; Bešlić, I.; Godec, R.
Indoor air quality in the sleeping environments of Lisbon dwellings, Portugal: ...
Mendez, S.; Gamelas ou Carla A. Gamelas, Carla; Belo, J.; Cruz, M. Meira; Almeida, S. M.; Canha, N.
Assessment of oxidative potential of fine aerosols from different indoor and ou...
Gonçalves, S.; Gamelas ou Carla A. Gamelas, Carla; Mendez, S.; Cabo Verde, S.; Almeida, S. M.; Bartolomeo, A.R.; Guascito, M. R.; Contini, D.; Canha, N.
Exposure to fine aerosols in sleeping environments of Lisbon dwellings
Mendez, S.; Gamelas ou Carla A. Gamelas, Carla; Almeida, S. M.; Canha, N.
Citizens’ involvement in air biomonitoring with strawberry plants
Gamelas ou Carla A. Gamelas, Carla; Canha, N.; Justino, A. R.; Nunes, A.; Abecasis, L.; Nunes, S.; Kertesz, Z.; Almeida, S. M.
Pollution sources affecting oxidative potential of fine aerosols from a Portugu...
Canha, N.; Gamelas ou Carla A. Gamelas, Carla; Gonçalves, S.; Mendez, S.; Cabo Verde, S.; Almeida, S. M.; Bartolomeo, A. R.; Guascito, M.R.; Merico, E.
Source apportionment of PM2.5 in the pre-pandemic versus pandemic period in an ...
Gamelas ou Carla A. Gamelas, Carla; Canha, Nuno; Vicente, Ana; Silva, Anabela; Borges, Sónia; Alves, Célia; Kertesz, Z.; Almeida, S. M.