Machine learning algorithms to forecast air quality: a survey
Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is
important to develop forecasting mechanisms that can be used by the authorities, so that …
important to develop forecasting mechanisms that can be used by the authorities, so that …
[HTML][HTML] Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model
The increase of road traffic in large cities during the last years has produced that long and
short-term traffic flow forecasting is a critical need for the authorities. The availability of good …
short-term traffic flow forecasting is a critical need for the authorities. The availability of good …
Distributed real-time ETL architecture for unstructured big data
Real-time extract transform load (ETL) is the integral part of increasing demand of faster
business decisions targeting large number of modern applications. Multi-source …
business decisions targeting large number of modern applications. Multi-source …
Air Quality Index (AQI) did not improve during the COVID-19 lockdown in Shanghai, China, in 2022, based on ground and TROPOMI observations
Q Ma, J Wang, M Xiong, L Zhu - Remote Sensing, 2023 - mdpi.com
The lockdowns from the coronavirus disease of 2019 (COVID-19) have led to a reduction in
anthropogenic activities and have hence reduced primary air pollutant emissions, which …
anthropogenic activities and have hence reduced primary air pollutant emissions, which …
[HTML][HTML] Geospatial complex event processing in smart city applications
The extensive deployment of the Internet of things (IoT) devices in urban areas enables
smart city systems (eg, urban traffic detection and air pollution monitoring) to use these …
smart city systems (eg, urban traffic detection and air pollution monitoring) to use these …
High-Resolution Daily Spatiotemporal Distribution and Evaluation of Ground-Level Nitrogen Dioxide Concentration in the Beijing–Tianjin–Hebei Region Based on …
C Liu, S Wu, Z Dai, Y Wang, Z Du, X Liu, C Qiu - Remote Sensing, 2023 - mdpi.com
This study utilized TROPOMI remote sensing data, MODIS remote sensing data, ground
observation data, and other ancillary data to construct a high-resolution spatiotemporal …
observation data, and other ancillary data to construct a high-resolution spatiotemporal …
DeepFogAQ: A fog-assisted decentralized air quality prediction and event detection system
Air pollution is a pervasive environmental and public health concern, prompting the
imperative development of predictive systems to facilitate proactive interventions. The …
imperative development of predictive systems to facilitate proactive interventions. The …
First results on the systematic search of land surface temperature anomalies as earthquakes precursors
Every year, earthquakes cause thousands of casualties and high economic losses. For
example, in the time frame from 1998 to 2018, the total number of casualties due to …
example, in the time frame from 1998 to 2018, the total number of casualties due to …
Spatiotemporal Weighted for Improving the Satellite-Based High-Resolution Ground PM2. 5 Estimation Using the Light Gradient Boosting Machine
X Yu, M Xi, L Wu, H Zheng - Remote Sensing, 2023 - mdpi.com
Surface fine particulate matter (PM) with a diameter of less than 2.5 microns (PM2. 5)
negatively impacts human health and the economy. However, due to data and model …
negatively impacts human health and the economy. However, due to data and model …
WSN architectures for environmental monitoring applications
Wireless sensor networks (WSNs) have become ubiquitous, permeating every aspect of
human life. In environmental monitoring applications (EMAs), WSNs are essential and …
human life. In environmental monitoring applications (EMAs), WSNs are essential and …