[HTML][HTML] Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment

MNA Ramadan, MAH Ali, SY Khoo, M Alkhedher… - Ecotoxicology and …, 2024 - Elsevier
Air pollution in industrial environments, particularly in the chrome plating process, poses
significant health risks to workers due to high concentrations of hazardous pollutants …

[HTML][HTML] Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction

IE Agbehadji, IC Obagbuwa - Atmosphere, 2024 - mdpi.com
Background: Although computational models are advancing air quality prediction, achieving
the desired performance or accuracy of prediction remains a gap, which impacts the …

Intrinsic and extrinsic techniques for quantification uncertainty of an interpretable GRU deep learning model used to predict atmospheric total suspended particulates …

H Gholami, A Mohammadifar, RD Behrooz… - Environmental …, 2024 - Elsevier
Total suspended particulates (TSP), as a key pollutant, is a serious threat for air quality,
climate, ecosystems and human health. Therefore, measurements, prediction and …

[HTML][HTML] Evaluation of Machine Learning Models in Air Pollution Prediction for a Case Study of Macau as an Effort to Comply with UN Sustainable Development Goals

TMT Lei, J Cai, AH Molla, TA Kurniawan, SSK Kong - Sustainability, 2024 - mdpi.com
To comply with the United Nations Sustainable Development Goals (UN SDGs), in particular
with SDG 3, SDG 11, and SDG 13, a reliable air pollution prediction model must be …

Improving Air Quality Zoning through Deep Learning and Hyperlocal Measurements

EI Fernández, AJJ Valera, JTF Breis - IEEE Access, 2024 - ieeexplore.ieee.org
According to the Air Quality Directive 2008/50/EC, air quality zoning divides a territory into
air quality zones where pollution and citizen exposure are similar and can be monitored …

Modeling and Optimization of NO 2 Stations in the Smart City of Barcelona.

R Soriano-Gonzalez, XA Martin… - Applied Sciences …, 2024 - search.ebscohost.com
The growing problem of nitrogen dioxide (NO< sub> 2) pollution in urban environments is
driving cities to adopt smart and sustainable approaches to address this challenge. To …

Analyzing Urban Air Quality through Machine Learning and Geographic Context

M Komarudin, SR Sulistyanti, M Irsyad… - … on Informatics and …, 2024 - ieeexplore.ieee.org
This study employs machine learning to analyze the relationship between air pollutants and
climatic and geographical factors in Bandar Lampung, Indonesia, using data from January …

Machine Learning for Environmental Health: Optimizing ConcaveLSTM for Air Quality Prediction

M Diqi, IW ORDIYASA, N Wijaya… - Jurnal Buana …, 2024 - ojs.uajy.ac.id
Studi ini menyelidiki optimasi model ConcaveLSTM untuk prediksi kualitas udara, berfokus
pada interaksi antara panjang urutan masukan dan jumlah unit LSTM untuk meningkatkan …

The impact of Covid-19 on air quality in Bucharest, Romania

G Cican, R Mirea - Journal of Environmental Engineering and …, 2023 - icevirtuallibrary.com
In this study, the authors aimed to assess the air quality within Bucharest City, Romania's
capital, during the Covid-19 pandemic. It was well established that for quite a long period …

Smart Ventilation Systems For Real-Time Pollution Control: A Review Of Ai-Driven Technologies In Air Quality Management

Z Hasan, E Haque, MAM Khan… - Frontiers in Applied …, 2024 - journal.aimintlllc.com
This review paper examines the implementation and effectiveness of AI-powered smart
ventilation systems for pollution control, focusing on industrial and urban environments …