Multidisciplinary research into statistical and soft computing models is detailed that analyses data on emissions of atmospheric pollution in urban areas. The research analyses the impact on atmospheric pollution of an extended bank holiday weekend in Spain. Levels of atmospheric pollution are classified in relation to the days of the week, seeking to differentiate between working days and non-working days by taking account of such aspects as industrial activity and traffic levels. The case study is based on data collected by a station at the city of Burgos, which forms part of the pollution measurement station network within the Spanish Autonomous Region of Castile-Leon
This work aims to use the sophisticated artificial intelligence and statistic techniques to forecast...
Outdoor air pollution costs millions of premature deaths annually, mostly due to anthropogenic fine ...
We applied three soft computing methods including adaptive neuro-fuzzy inference system (ANFIS), sup...
This multidisciplinary research analyzes the atmospheric pollution conditions of two different place...
Soft computing models are capable of identifying patterns that can characterize a ‘typical day’ in t...
This research analyzes the meteorological conditions of four different places in Spain. The case stu...
The combined application of several soft-computing and statistical techniques is proposed for the ch...
Present study proposes the application of different soft-computing and statistical techniques to the...
This work shows an application based on neural networks to determine the prediction of air pollution...
This project consists in a computer application developed to predict pollution levels for subsequent...
Since the air pollution can cause serious health problem, the concerns about forecasting air polluti...
Particulate matter with an aerodynamic diameter of less than 2.5 mu m (PM2.5) is associated with adv...
Abstract There is a very extensive literature on the design and test of models of environmental poll...
Abstract--Air pollution is becoming an environmental threat with the increase in industrialization a...
Air-pollution is one of the main threats for developed societies. According to the World Health Orga...
This work aims to use the sophisticated artificial intelligence and statistic techniques to forecast...
Outdoor air pollution costs millions of premature deaths annually, mostly due to anthropogenic fine ...
We applied three soft computing methods including adaptive neuro-fuzzy inference system (ANFIS), sup...
This multidisciplinary research analyzes the atmospheric pollution conditions of two different place...
Soft computing models are capable of identifying patterns that can characterize a ‘typical day’ in t...
This research analyzes the meteorological conditions of four different places in Spain. The case stu...
The combined application of several soft-computing and statistical techniques is proposed for the ch...
Present study proposes the application of different soft-computing and statistical techniques to the...
This work shows an application based on neural networks to determine the prediction of air pollution...
This project consists in a computer application developed to predict pollution levels for subsequent...
Since the air pollution can cause serious health problem, the concerns about forecasting air polluti...
Particulate matter with an aerodynamic diameter of less than 2.5 mu m (PM2.5) is associated with adv...
Abstract There is a very extensive literature on the design and test of models of environmental poll...
Abstract--Air pollution is becoming an environmental threat with the increase in industrialization a...
Air-pollution is one of the main threats for developed societies. According to the World Health Orga...
This work aims to use the sophisticated artificial intelligence and statistic techniques to forecast...
Outdoor air pollution costs millions of premature deaths annually, mostly due to anthropogenic fine ...
We applied three soft computing methods including adaptive neuro-fuzzy inference system (ANFIS), sup...