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Evangelos D. Spyrou, Chrysostomos Stylios and Ioannis Tsoulos
Air pollution is a pressing concern in urban areas, necessitating the critical monitoring of air quality to understand its implications for public health. Internet of Things (IoT) devices are widely utilized in air pollution monitoring due to their senso...
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Dorothy L. Robinson, Nigel Goodman and Sotiris Vardoulakis
Low-cost optical sensors are used in many countries to monitor fine particulate (PM2.5) air pollution, especially in cities and towns with large spatial and temporal variation due to woodsmoke pollution. Previous peer-reviewed research derived calibratio...
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Chenyong Wang, Hongpeng Zhang, Chenzhao Bai, Wei Li, Shengzhao Wang and Shuyao Zhang
In order to realize the lubricant fluid condition monitoring of ships and offshore engineering equipment, a multi-channel, dual-mode oil multi-pollution detection sensor is proposed and fabricated. The sensor has three detection channels connected via te...
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Sijie Liu, Xinyu Liu and Pei Lu
Nowadays, sensor-based air pollution sensing systems are widely deployed for fine-grained pollution monitoring. In-field calibration plays an important role in maintaining sensory data quality. Determining the model structure is challenging using existin...
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Shahir Masri, Yufang Jin and Jun Wu
Major wildfires and heatwaves have begun to increase in frequency throughout much of the United States, particularly in western states such as California, causing increased risk to public health. Air pollution is exacerbated by both wildfires and warmer ...
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C. Bambang Dwi Kuncoro, Moch Bilal Zaenal Asyikin and Aurelia Amaris
Several studies reported the significant effect of indoor air quality on human health, safety, productivity, and comfort because most humans usually conduct 80%?90% of their activity inside the building. This is generally due to the fact that indoor poll...
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Benjamin Agbo, Hussain Al-Aqrabi, Richard Hill and Tariq Alsboui
The Internet of Things (IoT) has had a tremendous impact on the evolution and adoption of information and communication technology. In the modern world, data are generated by individuals and collected automatically by physical objects that are fitted wit...
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Roger Cesarié Ntankouo Njila, Mir Abolfazl Mostafavi and Jean Brodeur
In this paper, we propose a decentralized semantic reasoning approach for modeling vague spatial objects from sensor network data describing vague shape phenomena, such as forest fire, air pollution, traffic noise, etc. This is a challenging problem as i...
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Edoardo Arnaudo, Alessandro Farasin and Claudio Rossi
Air pollution in urban regions remains a crucial subject of study, given its implications on health and environment, where much effort is often put into monitoring pollutants and producing accurate trend estimates over time, employing expensive tools and...
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Martha A. Zaidan, Lubna Dada, Mansour A. Alghamdi, Hisham Al-Jeelani, Heikki Lihavainen, Antti Hyvärinen and Tareq Hussein
An air pollutant proxy is a mathematical model that estimates an unobserved air pollutant using other measured variables. The proxy is advantageous to fill missing data in a research campaign or to substitute a real measurement for minimising the cost as...
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