A comprehensive survey on mobile crowdsensing systems
Abstract In recent times, Mobile Crowdsensing (MCS) has garnered considerable attention
and emerged as a promising sensing paradigm. The MCS approach leverages the …
and emerged as a promising sensing paradigm. The MCS approach leverages the …
[HTML][HTML] IOTA-based Mobile crowd sensing: detection of fake sensing using logit-boosted machine learning algorithms
In the Internet of Things (IoT) era, the mobile crowd sensing system (MCS) has become
increasingly important. The Internet of Things Auto (IOTA) has evolved rapidly in practically …
increasingly important. The Internet of Things Auto (IOTA) has evolved rapidly in practically …
A PM2. 5 concentration estimation method based on multi-feature combination of image patches
X Wang, M Wang, X Liu, X Zhang, R Li - Environmental Research, 2022 - Elsevier
An efficient, accurate and high-resolution PM 2.5 monitoring approach is critical to pollution
control and public health. Here we propose an image-based method for PM 2.5 …
control and public health. Here we propose an image-based method for PM 2.5 …
Air quality prediction in smart city's information system
IK Singgih - International Journal of Informatics, Information System …, 2020 - ojs.unikom.ac.id
The introduction of new technology and computational power enables more data usages in
a city. Such a city is called a smart city that records more data related to daily life activities …
a city. Such a city is called a smart city that records more data related to daily life activities …
[HTML][HTML] Surveillance-image-based outdoor air quality monitoring
X Wang, M Wang, X Liu, Y Mao, Y Chen… - Environmental Science and …, 2024 - Elsevier
Air pollution threatens human health, necessitating effective and convenient air quality
monitoring. Recently, there has been a growing interest in using camera images for air …
monitoring. Recently, there has been a growing interest in using camera images for air …
Location selection for air quality monitoring with consideration of limited budget and estimation error
Accurate acquisition of air quality is important for improving human well-being. However,
directly monitoring air quality at all locations is costly. The challenge is how we can select a …
directly monitoring air quality at all locations is costly. The challenge is how we can select a …
[HTML][HTML] A genetic algorithm-based support vector machine approach for intelligent usability assessment of m-learning applications
In the field of human computer interaction (HCI), the usability assessment of m-learning
(mobile-learning) applications is a real challenge. Such assessment typically involves …
(mobile-learning) applications is a real challenge. Such assessment typically involves …
[HTML][HTML] Crowdsourcing without data bias: Building a quality assurance system for air pollution symptom mapping
M Samulowska, S Chmielewski, E Raczko… - … International Journal of …, 2021 - mdpi.com
Crowdsourcing is one of the spatial data sources, but due to its unstructured form, the quality
of noisy crowd judgments is a challenge. In this study, we address the problem of detecting …
of noisy crowd judgments is a challenge. In this study, we address the problem of detecting …
Multi-scale bushfire detection from multi-modal streams of remote sensing data
Bushfire is a destructive force that would change the course of a country and even the Earth.
They are causing casualties and affect the quality of life of millions of people. Governments …
They are causing casualties and affect the quality of life of millions of people. Governments …
Mutual information maximization-based collaborative data collection with calibration constraint
People pay greater attention to air quality which is closely related to their health, especially
in developing countries. Air quality is a part of the Chinese weather forecast, and the …
in developing countries. Air quality is a part of the Chinese weather forecast, and the …