Predicting the quality of air with machine learning approaches: Current research priorities and future perspectives

K Mehmood, Y Bao, W Cheng, MA Khan… - Journal of Cleaner …, 2022 - Elsevier
The spiraling growth of the world's population and unregulated urbanization have resulted in
many environmental problems, including poor quality of air, which is associated with a wide …

Towards federated learning and multi-access edge computing for air quality monitoring: literature review and assessment

S Abimannan, ESM El-Alfy, S Hussain, YS Chang… - Sustainability, 2023 - mdpi.com
Systems for monitoring air quality are essential for reducing the negative consequences of
air pollution, but creating real-time systems encounters several challenges. The accuracy …

[HTML][HTML] LoRaWAN-based IoT system implementation for long-range outdoor air quality monitoring

WA Jabbar, T Subramaniam, AE Ong, MI Shu'Ib, W Wu… - Internet of Things, 2022 - Elsevier
This study proposes a smart long-range (LoRa) sensing node to timely collect the air quality
information and update it on the cloud. The developed long-range wide area network …

Detection of forest fires and pollutant plume dispersion using IoT air quality sensors

A Lertsinsrubtavee, T Kanabkaew… - Environmental Pollution, 2023 - Elsevier
The widespread adoption of Internet of Things (IoT) sensors has revolutionized our
understanding of the formation and mitigation of air pollution, significantly improving the …

An intelligent IoT-cloud-based air pollution forecasting model using univariate time-series analysis

M Ansari, M Alam - Arabian Journal for Science and Engineering, 2024 - Springer
Air pollution is a significant environmental issue affecting public health and ecosystems
worldwide, resulting from various sources such as industrial activities, vehicle emissions …

IoT-based prediction models in the environmental context: A systematic Literature Review

S Polymeni, E Athanasakis, G Spanos, K Votis… - Internet of Things, 2022 - Elsevier
Undoubtedly, during the last few years, climate change has alerted the research community
of the natural environment sector. Furthermore, the advent of the Internet of Things (IoT) …

Recent Trends for Smart Environments With AI and IoT-Based Technologies: A Comprehensive Review

A Deshmukh, DS Patil, PD Pawar, S Kumari… - … of Research on …, 2023 - igi-global.com
One of the most fascinating technological components of an ambient intelligence system is
its potential to behave independently for the benefit of humans. We used to be able to …

Computational deep air quality prediction techniques: a systematic review

M Kaur, D Singh, MY Jabarulla, V Kumar… - Artificial Intelligence …, 2023 - Springer
The escalating population and rapid industrialization have led to a significant rise in
environmental pollution, particularly air pollution. This has detrimental effects on both the …

Air quality measurement, prediction and warning using transfer learning based IOT system for ambient assisted living

S Sonawani, K Patil - International Journal of Pervasive Computing …, 2023 - emerald.com
Purpose Indoor air quality monitoring is extremely important in urban, industrial areas.
Considering the devastating effect of declining quality of air in major part of the countries like …

Enabling all in-edge deep learning: A literature review

P Joshi, M Hasanuzzaman, C Thapa, H Afli… - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, deep learning (DL) models have demonstrated remarkable achievements
on non-trivial tasks such as speech recognition, image processing, and natural language …