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Low‐cost air quality monitoring networks for long‐term field campaigns: A review
The application of low‐cost air quality monitoring networks has substantially grown over the
last few years, following the technological advances in the production of cheap and portable …
last few years, following the technological advances in the production of cheap and portable …
Reliability analysis for sensor networks and their data acquisition: A systematic literature review
The use of sensor networks (SNs) on the surface or the inside of large-scale components
allows the continuous acquisition of data on the applied loads and their structural integrity. A …
allows the continuous acquisition of data on the applied loads and their structural integrity. A …
[HTML][HTML] Monitoring and estimation of urban emissions with low-cost sensor networks and deep learning
Sustainable development in cities requires advanced technologies for monitoring and
estimating air pollution emissions, which directly affect the health of local inhabitants and …
estimating air pollution emissions, which directly affect the health of local inhabitants and …
Improving air quality zoning through deep learning and hyperlocal measurements
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 …
air quality zones where pollution and citizen exposure are similar and can be monitored …
[PDF][PDF] Deep learning for construction emission monitoring with low-cost sensor network
Emissions from construction activities, particularly in metropolitan areas, are carefully
monitored to prevent health problems and environmental degradation. The data quality of …
monitored to prevent health problems and environmental degradation. The data quality of …
The Deployment Modeling of Low-Cost Sensors for Urban Particulate Matter Monitoring: A Case Study for PM2.5 Monitoring in Tehran City
Urban air quality management is critically dependent on robust air quality monitoring
systems. Conventional systems, utilizing fixed, complex, and costly equipment, encounter …
systems. Conventional systems, utilizing fixed, complex, and costly equipment, encounter …
Deploying wireless sensor networks in multi-story buildings toward internet of things-based intelligent environments: an empirical study
With the growing integration of the Internet of Things in smart buildings, it is crucial to ensure
the precise implementation and operation of wireless sensor networks (WSNs). This paper …
the precise implementation and operation of wireless sensor networks (WSNs). This paper …
[HTML][HTML] A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers
Protecting sensitive data, such as data collected from sensors, is crucial for ensuring the
accurate assessment of sensing devices and preventing unauthorized access. In this regard …
accurate assessment of sensing devices and preventing unauthorized access. In this regard …
Improving connectivity in urban iot-based wireless sensor networks: a nonorthogonal cognitive-based power allocation
Wireless sensor networks (WSNs) have been recently deployed to support various Internet-
of-Things (IoT) applications, including sensing in urban environments. Accordingly, several …
of-Things (IoT) applications, including sensing in urban environments. Accordingly, several …
Long short-term memory Bayesian neural network for air pollution forecast
This paper presents a data fusion framework to enhance the accuracy of air-pollutant
forecast in the state of New South Wales (NSW), Australia using deep learning (DL) as a …
forecast in the state of New South Wales (NSW), Australia using deep learning (DL) as a …