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 …

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 …

Markov chains modelling of particulate matter (PM10) air contamination in the city of Ruse, Bulgaria

E Veleva, IR Georgiev, I Zheleva… - AIP Conference …, 2020 - pubs.aip.org
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 …

Analysis and modeling of daily air pollutants in the city of Ruse, Bulgaria

I Zheleva, E Veleva, M Filipova - AIP Conference Proceedings, 2017 - pubs.aip.org
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 …

Air Pollution PM10 Forecasting Maps in the Maritime Area of the Bay of Algeciras (Spain)

MI Rodríguez-García, MG Carrasco-García… - Journal of Marine …, 2024 - mdpi.com
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 …

Statistical study of particulate matter (PM10) air contamination in the city of Vidin, Bulgaria

E Veleva, M Filipova, I Zheleva - AIP Conference Proceedings, 2022 - pubs.aip.org
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 …

A generic multi-service cloud-based IoT operational platform-EMULSION

I Ganchev, Z Ji, M O'Droma - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
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 …

Assaying SARIMA and generalised regularised regression for particulate matter PM10 modelling and forecasting

S Gocheva-Ilieva, A Ivanov - International Journal of …, 2019 - inderscienceonline.com
Two different predictive modelling approaches–classical SARIMA time series methodology
and the new Generalised PathSeeker (GPS) regularised regression method, supported by …

Designing a cloud tier for the IoT platform EMULSION

I Ganchev, Z Ji, M Ó'Droma - 2019 - researchrepository.ul.ie
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 …

Statistic study of particulate matter (PM10) air contamination in the city of Svishtov, Bulgaria

I Minkova, M Filipova, I Zheleva - AIP Conference Proceedings, 2023 - pubs.aip.org
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 …