Neural-based ensembles for particulate matter forecasting

PSGDM Neto, PRA Firmino, H Siqueira… - IEEE …, 2021 - ieeexplore.ieee.org
The air pollution caused by particulate matter (PM) has become a public health issue due to
the risks to human life and the environment. The PM concentration in the air causes haze …

Air quality and urban sustainable development: the application of machine learning tools

NI Molina-Gómez, JL Díaz-Arévalo… - International Journal of …, 2021 - Springer
Air quality has an effect on a population's quality of life. As a dimension of sustainable urban
development, governments have been concerned about this indicator. This is reflected in the …

Investigation of PM10 prediction utilizing data mining techniques: Analyze by topic

K Srijiranon, N Eiamkanitchat… - … : Data Mining and …, 2021 - Wiley Online Library
Abstract Coarse particulate matter (PM10), the inhalable particles with an aerodynamic
diameter smaller than 10 micrometers are one of the major air pollutions that affect human …

PM10 density forecast model using long short term memory

JH Park, SJ Yoo, KJ Kim, YH Gu… - … on Ubiquitous and …, 2017 - ieeexplore.ieee.org
This paper suggests a PM10 forecast model using Long Short Term Memory (LSTM). Data
used for the study are collected from Seoul, Korea for the period of January 2005 up to …

Real-time PM10 concentration prediction LSTM model based on IoT streaming sensor data

SK Kim, TI Oh - Journal of the Korea Academia-Industrial …, 2018 - koreascience.kr
Recently, the importance of big data analysis is increasing as a large amount of data is
generated by various devices connected to the Internet with the advent of Internet of Things …

Dynamic ensemble mechanisms to improve particulate matter forecasting

A Bueno, GP Coelho, JRB Junior - Applied soft computing, 2020 - Elsevier
Respirable solid particles and liquid droplets suspended in the air, known as particulate
matter (PM), may have a significant impact on human health, urban infrastructure, and …

Analysis of the Effect of the Truck Strike and COVID-19 on the concentration of NOx and O3 in the Metropolitan Region of the Vale do Paraiba, São Paulo, Brazil

LM Conti, DL Herdies, DS Alvim, SM Corrêa - Aerosol and Air Quality …, 2022 - aaqr.org
The daily diurnal data pattern of nitrogen oxides (NO, NO2) and ozone (O3), temperature,
relative humidity, pressure, wind direction and speed and solar radiation were studied from …

Online sequential learning based on extreme learning machines for particulate matter forecasting

A Bueno, GP Coelho, JR Bertini - 2017 Brazilian Conference …, 2017 - ieeexplore.ieee.org
Microscopically small solid particles and liquid droplets suspended in the air, known as
particulate matter (PM), may significantly affect not only human health but also urban, natural …

[PDF][PDF] IoT 스트리밍센서데이터에기반한실시간PM10 농도예측LSTM 모델

김삼근, 오택일 - 한국산학기술학회논문지, 2018 - kais99.org
요 약 최근 사물인터넷 (IoT) 의 등장으로 인터넷에 연결된 다양한 기기들에 의해 대규모의
데이터가 생성됨에 따라 빅데이터 분석의 중요성이 증가하고 있다. 특히 실시간으로 생성되는 …

Análise de componentes principais para verificar relação entre variáveis meteorológicas ea concentração de MP10

DC Nogarotto, MRG de Lima, SA Pozza - Holos, 2020 - ifrn.edu.br
Avaliar o comportamento das variáveis meteorológicas no contexto de poluição do ar é
imprescindível, pois sabe-se que as primeiras estão diretamente relacionadas com o …