The Air Quality Index (AQI) dataset contains information on measurements of pollutants and ambient air quality conditions at certain location that can be used to predict air quality. Unfortunately, this dataset often has many missing observations and imbalanced classes. Both of these pr...
Our comprehensive dataset and statistical methods have some notable advantages for inferring the causal relationship between city lockdowns and air quality. First, although there is much anecdotal evidence to suggest that air quality improved after the COVID-19 outbreak, this often relies on comparing...
In this paper we propose a demo of a Visual Analytics Toolkit to cope with the complexity of analysing a large dataset of moving objects, in a step wise manner. We allow the user to sample a small sub G Andrienko,N Andrienko,S Rinzivillo,... - DBLP 被引量: 31发表: 1970年 Identifyin...
In total, we sampled the dataset and trained the model 100 times and the final test performance was summarized. Graph convolutions As the core component in our method, multilevel graph convolutions were used to encode and represent local spread of air pollutants. Based on Eqs. 1–3 and ...
pipinstalldataset requests python setup_pull.py 5. Run pull.py - This does that requests and pulls the JSON data. You can stop and restart it anytime. Run as slow as possible. Run in batches. As of now it sends one request per five seconds. All the pulled data along with status is...
Example NowCast Dataset for PM10: (have some missing data in hour) HourAvg Concentration 1464 ppb 1363 ppb 12--- 1177 ppb 1065 ppb 9--- 870 ppb 771 ppb 6--- 557 ppb 458 ppb 364 ppb Presume that you want to calculate NowCast AQI for PM10 at14, the data array should be double...
a collection of Dataset from various sources. Contribute to playerB/basic-dataset development by creating an account on GitHub.
About Dataset This dataset contains ranked air quality measurements for various cities in the world, providing insights into pollution levels across different months of the year. Each entry includes the city name, its rank based on average pollution levels, and monthly average pollution measurements ...
(V7) dataset23despite a systematic overestimate (6.62 ± 0.48 mm day−1versus 4.67 ± 0.32 mm day−1). Based on the sensitivity tests for FDDA grid nudging, the wet bias in the model results mainly comes from water vapor nudging. In our previous study24, we ...
This paper presents a 3D AQI mapping data assessment for low-altitude drone real-time air pollution monitoring. The measurement of 3D AQI mapping data is assessed by using the BPNN–CNN algorithm (hybrid model). The objective of the proposed BPNN–CNN is to validate the dataset through training...