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A review of low-cost particulate matter sensors from the developers' perspectives
The concerns related to particulate matter's health effects alongside the increasing demands
from citizens for more participatory, timely, and diffused air quality monitoring actions have …
from citizens for more participatory, timely, and diffused air quality monitoring actions have …
Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis
The significance of air pollution and the problems associated with it are fueling deployments
of air quality monitoring stations worldwide. The most common approach for air quality …
of air quality monitoring stations worldwide. The most common approach for air quality …
Unmanned aerial vehicles for air pollution monitoring: A survey
Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution
for increasing the spatial and temporal resolution of air quality data, searching and detecting …
for increasing the spatial and temporal resolution of air quality data, searching and detecting …
Evaluation of urban transportation carbon footprint− Artificial intelligence based solution
H Wang, X Wang, Y Yin, X Deng, M Umair - Transportation Research Part …, 2024 - Elsevier
This research uses three machine learning algorithms to predict transport-related CO₂
emissions, considering transport-related factors and socioeconomic aspects. We analyze …
emissions, considering transport-related factors and socioeconomic aspects. We analyze …
Deep learning in energy modeling: Application in smart buildings with distributed energy generation
Buildings are responsible for 33% of final energy consumption, and 40% of direct and
indirect CO 2 emissions globally. While energy consumption is steadily rising globally …
indirect CO 2 emissions globally. While energy consumption is steadily rising globally …
Time-lag selection for time-series forecasting using neural network and heuristic algorithm
The time-series forecasting is a vital area that motivates continuous investigate areas of
intrigued for different applications. A critical step for the time-series forecasting is the right …
intrigued for different applications. A critical step for the time-series forecasting is the right …
[HTML][HTML] Air pollution exposure monitoring using portable low-cost air quality sensors
Urban environments with a high degree of industrialization are infested with hazardous
chemicals and airborne pollutants. These pollutants can have devastating effects on human …
chemicals and airborne pollutants. These pollutants can have devastating effects on human …
In-situ sensor virtualization and calibration in building systems
J Koo, S Yoon - Applied Energy, 2022 - Elsevier
In this study, in-situ sensor virtualization is proposed to overcome physical sensing
limitations, including sensor errors and management costs in long-term building operations …
limitations, including sensor errors and management costs in long-term building operations …
Applying machine learning for large scale field calibration of low‐cost PM2.5 and PM10 air pollution sensors
Low‐cost air quality monitoring networks can potentially increase the availability of high‐
resolution monitoring to inform analytic and evidence‐informed approaches to better …
resolution monitoring to inform analytic and evidence‐informed approaches to better …
Wearable system for outdoor air quality monitoring in a WSN with cloud computing: Design, validation and deployment
Breathing poor-quality air is a global threat at the same level as unhealthy diets or tobacco
smoking, so the availability of affordable instrument for the measurement of air pollutant …
smoking, so the availability of affordable instrument for the measurement of air pollutant …