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PM10 and PM2. 5 real-time prediction models using an interpolated convolutional neural network
S Chae, J Shin, S Kwon, S Lee, S Kang, D Lee - Scientific Reports, 2021 - nature.com
In this paper, we propose a real-time prediction model that can respond to particulate
matters (PM) in the air, which are an indication of poor air quality. The model applies …
matters (PM) in the air, which are an indication of poor air quality. The model applies …
Prediction and analysis of particulate matter (PM2.5 and PM10) concentrations using machine learning techniques
A Barthwal, D Acharya, D Lohani - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract The National Capital Region (NCR) encircling the capital of India is the one of the
most polluted regions in the world. Poor air quality is a cause of a number of diseases and …
most polluted regions in the world. Poor air quality is a cause of a number of diseases and …
Markov chains modelling of particulate matter (PM10) air contamination in the city of Ruse, Bulgaria
High levels of air pollutants PM10 are a problem of great importance for human health.
During the months from April to September of the period 2010-2019 the levels in Ruse …
During the months from April to September of the period 2010-2019 the levels in Ruse …
Analysis and modeling of daily air pollutants in the city of Ruse, Bulgaria
The city of Ruse is situated in the north-eastern part of Bulgaria. The northern boundary of
Ruse region goes along the Danube river valley and coincides with the state boundary of …
Ruse region goes along the Danube river valley and coincides with the state boundary of …
Air Pollution PM10 Forecasting Maps in the Maritime Area of the Bay of Algeciras (Spain)
Predicting the levels of a pollutant in a given area is an open problem, mainly because
historical data are typically available at certain locations, where monitoring stations are …
historical data are typically available at certain locations, where monitoring stations are …
Statistical study of particulate matter (PM10) air contamination in the city of Vidin, Bulgaria
The paper presents a detailed statistical analysis to study the concentrations of PM10 for the
city of Vidin, Bulgaria. The town of Vidin is located in north-western Bulgaria, on the south …
city of Vidin, Bulgaria. The town of Vidin is located in north-western Bulgaria, on the south …
A generic multi-service cloud-based IoT operational platform-EMULSION
This paper presents the design aspects of a generic multi-service cloud-based IoT
operational platform EMULSION, which is a representative of the new horizontal type, next …
operational platform EMULSION, which is a representative of the new horizontal type, next …
Assaying SARIMA and generalised regularised regression for particulate matter PM10 modelling and forecasting
Two different predictive modelling approaches–classical SARIMA time series methodology
and the new Generalised PathSeeker (GPS) regularised regression method, supported by …
and the new Generalised PathSeeker (GPS) regularised regression method, supported by …
Designing a cloud tier for the IoT platform EMULSION
This paper presents some design aspects of the cloud tier of a generic multi-service cloud-
based IoT operational platform EMULSION, which is developed as a non-expensive IoT …
based IoT operational platform EMULSION, which is developed as a non-expensive IoT …
Statistic study of particulate matter (PM10) air contamination in the city of Svishtov, Bulgaria
The high levels of all air pollutants are of great importance for human health. Especially
dangerous are particulate matter (PM) contaminants. PM is a mixture of solid particles and …
dangerous are particulate matter (PM) contaminants. PM is a mixture of solid particles and …