International audienceWith an increasingly technological improvement, sensors infrastructure actually supports many current and promising environmental applications. Environmental Monitoring Systems built on such sensors removes geographical, temporal and other restraints while increasing both the coverage and the quality of real world understanding. However, a main issue for such applications is the uncertainty of data coming from sensors, which may impact experts’ decisions. In this paper, we address this problem with an approach dedicated to provide environmental monitoring applications and users with data quality information
Using low-cost air quality sensors (LCS) in citizen science projects opens many possibilities. LCS c...
Using low-cost air quality sensors (LCS) in citizen science projects opens many possibilities. LCS c...
Developments in sensor technology have contributed immensely to the growth of big geospatial sensor ...
International audienceWith an increasingly technological improvement, sensors infrastructure actuall...
International audienceAn environmental monitoring process consists of a regular collection and analy...
International audienceNowadays, emerging applications in the geographic domain, exploit more and mor...
Data readings collected from sensors are often imprecise. The uncertainty in the data can arise from...
Understanding the limitations of environmental data is essential both for managing environmenta syst...
Nowadays, emerging applications in the geographic domain increasingly explore geolocalized informati...
An important quality of sensor data is that it is often uncertain or imprecise. This uncertainty can...
Sensors are often employed to monitor continuously changing entities like locations of moving object...
Uncertainty of measurement results is the key metric of environmental data quality, but it is often ...
The rapid development of sensing technologies had led to the creation of large amounts of heterogene...
There are many techniques to deal with uncertainty when modeling data. However, there are many forms...
There are many techniques to deal with uncertainty when modeling data. However, there are many forms...
Using low-cost air quality sensors (LCS) in citizen science projects opens many possibilities. LCS c...
Using low-cost air quality sensors (LCS) in citizen science projects opens many possibilities. LCS c...
Developments in sensor technology have contributed immensely to the growth of big geospatial sensor ...
International audienceWith an increasingly technological improvement, sensors infrastructure actuall...
International audienceAn environmental monitoring process consists of a regular collection and analy...
International audienceNowadays, emerging applications in the geographic domain, exploit more and mor...
Data readings collected from sensors are often imprecise. The uncertainty in the data can arise from...
Understanding the limitations of environmental data is essential both for managing environmenta syst...
Nowadays, emerging applications in the geographic domain increasingly explore geolocalized informati...
An important quality of sensor data is that it is often uncertain or imprecise. This uncertainty can...
Sensors are often employed to monitor continuously changing entities like locations of moving object...
Uncertainty of measurement results is the key metric of environmental data quality, but it is often ...
The rapid development of sensing technologies had led to the creation of large amounts of heterogene...
There are many techniques to deal with uncertainty when modeling data. However, there are many forms...
There are many techniques to deal with uncertainty when modeling data. However, there are many forms...
Using low-cost air quality sensors (LCS) in citizen science projects opens many possibilities. LCS c...
Using low-cost air quality sensors (LCS) in citizen science projects opens many possibilities. LCS c...
Developments in sensor technology have contributed immensely to the growth of big geospatial sensor ...