Methods for urban Air Pollution measurement and forecasting: Challenges, opportunities, and solutions
E Mitreska Jovanovska, V Batz, P Lameski… - Atmosphere, 2023 - mdpi.com
In today's urban environments, accurately measuring and forecasting air pollution is crucial
for combating the effects of pollution. Machine learning (ML) is now a go-to method for …
for combating the effects of pollution. Machine learning (ML) is now a go-to method for …
The state-of-the-art in air pollution monitoring and forecasting systems using IoT, big data, and machine learning
The quality of air is closely linked with the life quality of humans, plantations, and wildlife. It
needs to be monitored and preserved continuously. Transportations, industries, construction …
needs to be monitored and preserved continuously. Transportations, industries, construction …
Air pollution prediction with multi-modal data and deep neural networks
Air pollution is becoming a rising and serious environmental problem, especially in urban
areas affected by an increasing migration rate. The large availability of sensor data enables …
areas affected by an increasing migration rate. The large availability of sensor data enables …
Modeling Based on the Analysis of Interval Data of Atmospheric Air Pollution Processes with Nitrogen Dioxide due to the Spread of Vehicle Exhaust Gases
The article deals with the issue of modeling taking into consideration nitrogen dioxide
pollution of the atmospheric surface layer caused by vehicle exhaust gases. The interval …
pollution of the atmospheric surface layer caused by vehicle exhaust gases. The interval …
Prototype of Monitoring Transportation Pollution Spikes through the Internet of Things Edge Networks
Air pollution is a critical problem in densely populated urban areas, with traffic significantly
contributing. To mitigate the adverse effects of air pollution on public health and the …
contributing. To mitigate the adverse effects of air pollution on public health and the …
Long range radio technology implementation on internet of things to detect particulate matter at the community level and prediction using machine learning based …
An essential element of smart cities involves augmenting the awareness of key stakeholders
and the broader populace concerning air pollution. Currently, numerous air quality …
and the broader populace concerning air pollution. Currently, numerous air quality …
A complete air pollution monitoring and prediction framework
The issue of air pollution is increasingly prominent and represents a significant
environmental challenge, particularly in urban areas affected by rising migration rates. Air …
environmental challenge, particularly in urban areas affected by rising migration rates. Air …
[PDF][PDF] Big Data Analytics with Artificial Intelligence Enabled Environmental Air Pollution Monitoring Framework.
Environmental sustainability is the rate of renewable resource harvesting, pollution control,
and non-renewable resource exhaustion. Air pollution is a significant issue confronted by …
and non-renewable resource exhaustion. Air pollution is a significant issue confronted by …
Machine Learning for Smart Cities: A Comprehensive Review of Applications and Opportunities
X Dou, W Chen, L Zhu, Y Bai, Y Li… - International Journal of …, 2023 - search.proquest.com
The smart city concept originated a few years ago as a combination of ideas about how
information and communication technologies can improve urban life. With the advent of the …
information and communication technologies can improve urban life. With the advent of the …
A lightweight model using frequency, trend and temporal attention for long sequence time-series prediction
Although deep learning makes great success in increasing the accuracy for long sequence
time-series forecasting, its complex neural network structure, which comprises many …
time-series forecasting, its complex neural network structure, which comprises many …