STCM: A spatio-temporal calibration model for low-cost air monitoring sensors
Air pollution is one of the most common health-threatening factors, potentially causing
millions of deaths every year. Static stations typically collect air pollution data by utilizing a …
millions of deaths every year. Static stations typically collect air pollution data by utilizing a …
A deep calibration method for low-cost air monitoring sensors with multilevel sequence modeling
Air pollution is growing ever more serious as a result of rising consumption of energy and
other natural resources. Generally, governmental static monitoring stations provide accurate …
other natural resources. Generally, governmental static monitoring stations provide accurate …
Airnet: A calibration model for low-cost air monitoring sensors using dual sequence encoder networks
Air pollution monitoring has attracted much attention in recent years. However, accurate and
high-resolution monitoring of atmospheric pollution remains challenging. There are two …
high-resolution monitoring of atmospheric pollution remains challenging. There are two …
Ict: In-field calibration transfer for air quality sensor deployments
Recent years have witnessed a growing interest in urban air pollution monitoring, where
hundreds of low-cost air quality sensors are deployed city-wide. To guarantee data accuracy …
hundreds of low-cost air quality sensors are deployed city-wide. To guarantee data accuracy …
Sens-BERT: Enabling Transferability and Re-calibration of Calibration Models for Low-cost Sensors under Reference Measurements Scarcity
Low-cost sensors measurements are noisy, which limits large-scale adaptability in airquality
monitoirng. Calibration is generally used to get good estimates of air quality measurements …
monitoirng. Calibration is generally used to get good estimates of air quality measurements …
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 …
Eeatc: A novel calibration approach for low-cost sensors
MV Narayana, D Jalihal… - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Low-cost sensors (LCSs) are affordable, compact, and often portable devices designed to
measure various environmental parameters, including air quality. These sensors are …
measure various environmental parameters, including air quality. These sensors are …
GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices
Due to global air pollution, there is a growing demand for accurate and large-scale air
quality monitoring systems. Consequently, low-cost air monitoring devices have emerged as …
quality monitoring systems. Consequently, low-cost air monitoring devices have emerged as …
Hierarchical recovery of missing air pollution data via improved long-short term context encoder network
Due to equipment and transmission failures, data loss presents a key challenge to air quality
monitoring. This paper attempts to recover missing air quality data from an air quality …
monitoring. This paper attempts to recover missing air quality data from an air quality …
Leveraging machine learning algorithms to advance low-cost air sensor calibration in stationary and mobile settings
Low-cost air sensing is changing the paradigm of ambient air quality management research
and practices. However, consensus on a structured low-cost sensor calibration and …
and practices. However, consensus on a structured low-cost sensor calibration and …