Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
Cities foster economic growth. However, growing cities also contribute to air pollution and
climate change. The paper provides a perspective regarding the opportunity available in …
climate change. The paper provides a perspective regarding the opportunity available in …
A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science
Air pollution is a global geo-hazard with significant implications, including deterioration of
health and premature death. Climatic variables such as temperature, rainfall, wind, and …
health and premature death. Climatic variables such as temperature, rainfall, wind, and …
[HTML][HTML] IoT in smart cities: A survey of technologies, practices and challenges
AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Smart Cities, 2021 - mdpi.com
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …
removing the necessity of human intervention. This enables the capacity of having smart (or …
[HTML][HTML] Air-pollution prediction in smart city, deep learning approach
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 …
pollution has become a life-threatening factor in many countries around the world. Among …
[HTML][HTML] Machine learning-based prediction of air quality
YC Liang, Y Maimury, AHL Chen, JRC Juarez - applied sciences, 2020 - mdpi.com
Air, an essential natural resource, has been compromised in terms of quality by economic
activities. Considerable research has been devoted to predicting instances of poor air …
activities. Considerable research has been devoted to predicting instances of poor air …
[PDF][PDF] Air quality prediction: Big data and machine learning approaches
Monitoring and preserving air quality has become one of the most essential activities in
many industrial and urban areas today. The quality of air is adversely affected due to various …
many industrial and urban areas today. The quality of air is adversely affected due to various …
[HTML][HTML] Applicability of denoising-based artificial intelligence to forecast the environmental externalities
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 …
environmental externalities in Saudi Arabia. We have used the denoising based artificial …
[HTML][HTML] Machine learning techniques to predict the air quality using meteorological data in two urban areas in Sri Lanka
The effect of bad air quality on human health is a well-known risk. Annual health costs have
significantly been increased in many countries due to adverse air quality. Therefore …
significantly been increased in many countries due to adverse air quality. Therefore …
Sensing, communication and security planes: A new challenge for a smart city system design
Abstract The Internet of Things (IoT) era is evolving into sensor initiated, actuation-driven,
and machine intelligence-based decision making platform for smart cities. A smart city …
and machine intelligence-based decision making platform for smart cities. A smart city …
Prediction compressive strength of concrete containing GGBFS using random forest model
Improvement of compressive strength prediction accuracy for concrete is crucial and is
considered a challenging task to reduce costly experiments and time. Particularly, the …
considered a challenging task to reduce costly experiments and time. Particularly, the …