Air-pollution prediction in smart city, deep learning approach

A Bekkar, B Hssina, S Douzi, K Douzi - Journal of big Data, 2021 - Springer
Over the past few decades, due to human activities, industrialization, and urbanization, air
pollution has become a life-threatening factor in many countries around the world. Among …

[HTML][HTML] Air pollution exposure monitoring using portable low-cost air quality sensors

P Kortoçi, NH Motlagh, MA Zaidan, PL Fung… - Smart health, 2022 - Elsevier
Urban environments with a high degree of industrialization are infested with hazardous
chemicals and airborne pollutants. These pollutants can have devastating effects on human …

Intelligent calibration and virtual sensing for integrated low-cost air quality sensors

MA Zaidan, NH Motlagh, PL Fung, D Lu… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
This paper presents the development of air quality low-cost sensors (LCS) with improved
accuracy features. The LCS features integrate machine learning based calibration models …

[HTML][HTML] Applicability of denoising-based artificial intelligence to forecast the environmental externalities

D Cai, G Aziz, S Sarwar, MI Alsaggaf, A Sinha - Geoscience Frontiers, 2024 - Elsevier
The current study attempts to compare the hybrid artificial intelligence models to forecast the
environmental externalities in Saudi Arabia. We have used the denoising based artificial …

[HTML][HTML] Evaluation of white-box versus black-box machine learning models in estimating ambient black carbon concentration

PL Fung, MA Zaidan, H Timonen, JV Niemi… - Journal of aerosol …, 2021 - Elsevier
Air quality prediction with black-box (BB) modelling is gaining widespread interest in
research and industry. This type of data-driven models work generally better in terms of …

[HTML][HTML] Machine learning modeling for energy consumption of residential and commercial sectors

SA Nabavi, A Aslani, MA Zaidan, M Zandi… - Energies, 2020 - mdpi.com
Energy has a strategic role in the economic and social development of countries. In the last
few decades, energy demand has been increasing exponentially across the world, and …

[HTML][HTML] Non-linear models for black carbon exposure modelling using air pollution datasets

J Rovira, JA Paredes-Ahumada… - Environmental …, 2022 - Elsevier
Black carbon (BC) is a product of incomplete combustion, present in urban aerosols and
sourcing mainly from road traffic. Epidemiological evidence reports positive associations …

Local synergies and antagonisms between meteorological factors and air pollution: A 15-year comprehensive study in the Sydney region

G Ulpiani, G Ranzi, M Santamouris - Science of The Total Environment, 2021 - Elsevier
Associated with rapid urbanization and escalation of bushfire events, Sydney has
experienced significant air quality degradation in the XXI century. In this study, we present a …

[HTML][HTML] ennemi: Non-linear correlation detection with mutual information

P Laarne, MA Zaidan, T Nieminen - SoftwareX, 2021 - Elsevier
We present ennemi, a Python package for correlation analysis based on mutual information
(MI). MI is a measure of relationship between variables. Unlike Pearson correlation it is valid …

Research on an adaptive prediction method for restaurant air quality based on occupancy detection

Y Zhao, C **ong, L Rong, Z Luo, T Hussein… - Building and …, 2025 - Elsevier
This study evaluates the impact of personnel on air quality in air-conditioned restaurant
environments during winter, summer, and transitional seasons, characterized by the …