[HTML][HTML] Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment
Air pollution in industrial environments, particularly in the chrome plating process, poses
significant health risks to workers due to high concentrations of hazardous pollutants …
significant health risks to workers due to high concentrations of hazardous pollutants …
A Survey on Adaptive Smart Urban Systems
The urbanisation of the last century has created a significant demand for urban areas to
deliver public services that are efficient, sustainable, and adaptable. This demand is further …
deliver public services that are efficient, sustainable, and adaptable. This demand is further …
Real-time air quality monitoring in Bull Trench Kiln-based Brick industry by calibrating sensor readings and utilizing the Serverless Computing
Abstract Bull Trench Kiln-based Brick industries are major contributors of Particulate Matter
Pollutants (PM 2.5 and PM 10), which leads to deterioration of air quality, and hence needs …
Pollutants (PM 2.5 and PM 10), which leads to deterioration of air quality, and hence needs …
Smart calibration and monitoring: leveraging artificial intelligence to improve MEMS-based inertial sensor calibration
Micro-electro-mechanical systems (MEMS)-based sensors endure complex production
processes that inherently include high variance. To meet rigorous client demands (such as …
processes that inherently include high variance. To meet rigorous client demands (such as …
TinyML models for a low-cost air quality monitoring device
Low-cost air quality monitoring devices can provide high-density spatiotemporal pollution
data, thus offering a better opportunity to apply machine learning (ML). Low-cost sensor …
data, thus offering a better opportunity to apply machine learning (ML). Low-cost sensor …
Minimized training of machine learning-based calibration methods for low-cost O3 sensors
Low-cost sensors (LCSs) show a huge potential toward enabling the pervasive and
continuous monitoring of crucial environmental parameters, supporting environment …
continuous monitoring of crucial environmental parameters, supporting environment …
MQTT-I: Achieving end-to-end data flow integrity in MQTT
F Buccafurri, V De Angelis… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
MQTT has become the de facto standard in the IoT. Although standard MQTT lacks built-in
security features, several proposals have been made to address this gap. Unfortunately, no …
security features, several proposals have been made to address this gap. Unfortunately, no …
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 …
Enhanced urban PM2. 5 prediction: Applying quadtree division and time-series transformer with WRF-chem
Accurately predicting air quality levels in urban landscapes is a key environmental and
public health challenge due to the complex interactions between pollutant emissions …
public health challenge due to the complex interactions between pollutant emissions …
Partially precise instrument measurements-aided deep learning for industrial quality prediction
Z Ji, X Lei, S Wang, K Wang, C Yang - Journal of Process Control, 2025 - Elsevier
Material composition is a kind of important quality index in the process industry. Even though
instruments for online measuring these compositions have been widely applied, the …
instruments for online measuring these compositions have been widely applied, the …