A CNN-BiLSTM-AM method for stock price prediction

W Lu, J Li, J Wang, L Qin - Neural Computing and Applications, 2021 - Springer
In recent years, with the rapid development of the economy, more and more people begin to
invest into the stock market. Accurately predicting the change of stock price can reduce the …

Air quality prediction using CT-LSTM

J Wang, J Li, X Wang, J Wang, M Huang - Neural Computing and …, 2021 - Springer
With the development of industry, air pollution has become a serious problem. It is very
important to create an air quality prediction model with high accuracy and good …

Quantifying the impact of PM2.5 and associated heavy metals on respiratory health of children near metallurgical facilities

D Dunea, S Iordache, HY Liu, T Bøhler… - … Science and Pollution …, 2016 - Springer
The aim of this study was to link the concentrations of particulate matter with an aerodynamic
diameter below 2.5 μm (PM 2.5) and associated heavy metals with occurrence of wheezing …

Forecasting of particulate matter time series using wavelet analysis and wavelet-ARMA/ARIMA model in Taiyuan, China

H Zhang, S Zhang, P Wang, Y Qin… - Journal of the Air & Waste …, 2017 - Taylor & Francis
Particulate matter with aerodynamic diameter below 10 μm (PM10) forecasting is difficult
because of the uncertainties in describing the emission and meteorological fields. This …

Fine particulate matter in urban environments: a trigger of respiratory symptoms in sensitive children

D Dunea, S Iordache, A Pohoata - International journal of environmental …, 2016 - mdpi.com
The overall objective of this research was to study children's respiratory illness levels in
Targoviste (Romania) in relationship to the outdoor concentrations of airborne particulate …

Seasonal prediction of particulate matter over the steel city of India using neural network models

P Gogikar, B Tyagi, AK Gorai - Modeling Earth Systems and Environment, 2019 - Springer
The particulate matter (PM) concentration forecast is an important component to evaluate the
air quality over any region of the world. The results are vital when it comes to health concern …

[PDF][PDF] Development of a knowledge based system for analyzing particulate matter air pollution effects on human health.

M Oprea, D Dunea, HY Liu - Environmental Engineering & …, 2017 - researchgate.net
Analyzing and reducing the possible effects of air pollution on human health became
important issues for improving the quality of life in urban areas. Particulate matters (PM) are …

[PDF][PDF] INTEGRATED ASSESSMENT OF EXPOSURE TO TRAFFIC-RELATED AIR POLLUTION IN IASI CITY, ROMANIA.

A Banica, ED Bobric, MM Cazacu… - Environmental …, 2017 - researchgate.net
Despite the industrial decline, air pollution continues to be a major issue in Romanian cities.
As in many other urban areas, in Iasi city the traffic is one of the main sources of air pollution …

[PDF][PDF] A complex analysis employing ARIMA model and statistical methods on air pollutants recorded in Ploiesti, Romania

A Pohoata, E Lungu - Rev. Chim, 2017 - academia.edu
A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants
Recorded in Ploiesti, Romania Page 1 http://www.revistadechimie.ro REV.CHIM.(Bucharest)♦68♦No …

[PDF][PDF] On the development of a PM2. 5 monitoring network for real-time measurements in urban environments

T Savu, BA Jugravu, D Dunea - Revista de Chimie, 2017 - bch.ro
A monitoring network system was designed and developed to be deployed in two Romanian
cities during the ROkidAIR project for measuring in real time the PM2. 5 concentrations. The …