Time-lag selection for time-series forecasting using neural network and heuristic algorithm

O Surakhi, MA Zaidan, PL Fung, N Hossein Motlagh… - Electronics, 2021 - mdpi.com
The time-series forecasting is a vital area that motivates continuous investigate areas of
intrigued for different applications. A critical step for the time-series forecasting is the right …

Titanium dioxide promotes new particle formation: a smog chamber study

H Zhang, B Chu, J Liu, Y Liu, T Chen… - Environmental …, 2023 - ACS Publications
TiO2 is a widely used material in building coatings. Many studies have revealed that TiO2
promotes the heterogeneous oxidation of SO2 and the subsequent sulfate formation …

Efficient data preprocessing, episode classification, and source apportionment of particle number concentrations

CS Liang, H Wu, HY Li, Q Zhang, Z Li, KB He - Science of the Total …, 2020 - Elsevier
Abstract Number concentration is an important index to measure atmospheric particle
pollution. However, tailored methods for data preprocessing and characteristic and source …

[HTML][HTML] Towards understanding the characteristics of new particle formation in the Eastern Mediterranean

R Baalbaki, M Pikridas, T Jokinen… - Atmospheric …, 2021 - acp.copernicus.org
To quantify the contribution of new particle formation (NPF) to ultrafine particle number and
cloud condensation nuclei (CCN) budgets, one has to understand the mechanisms that …

Impact of desert dust on new particle formation events and the cloud condensation nuclei budget in dust-influenced areas

JA Casquero-Vera, D Pérez-Ramírez… - Atmospheric …, 2023 - acp.copernicus.org
Detailed knowledge on the formation of new aerosol particles in the atmosphere from
precursor gases, and their subsequent growth, commonly known as new particle formation …

[HTML][HTML] New particle formation and growth during summer in an urban environment: a dual chamber study

SD Jorga, K Florou, D Patoulias… - … Chemistry and Physics, 2023 - acp.copernicus.org
Nucleation and subsequent growth are a major source of new particles in many
environments, but the pollutants involved and the details of the corresponding processes are …

Particle number size distribution and new particle formation in Xiamen, the coastal city of Southeast China in wintertime

J Wang, M Li, L Li, R Zheng, X Fan, Y Hong… - Science of the Total …, 2022 - Elsevier
New particle formation (NPF) has a great impact on regional and global climate, air quality
and human health. This study uses a Scanning Mobility Particle Sizer (SMPS) for …

An optimal stacked ensemble deep learning model for predicting time-series data using a genetic algorithm—an application for aerosol particle number …

OM Surakhi, MA Zaidan, S Serhan, I Salah, T Hussein - Computers, 2020 - mdpi.com
Time-series prediction is an important area that inspires numerous research disciplines for
various applications, including air quality databases. Developing a robust and accurate …

[HTML][HTML] Measurement report: Atmospheric new particle formation at a peri-urban site in Lille, northern France

S Crumeyrolle, JSS Kontkanen, C Rose… - Atmospheric …, 2023 - acp.copernicus.org
Formation of ultrafine particles (UFPs) in the urban atmosphere is expected to be less
favored than in the rural atmosphere due to the high existing particle surface area acting as …

Regional new particle formation over the eastern mediterranean and middle east

P Kalkavouras, A BougiatiotI, T Hussein, N Kalivitis… - Atmosphere, 2020 - mdpi.com
Atmospheric new particle formation (NPF) events taking place over large distances between
locations, featuring similar characteristics, have been the focus of studies during the last …