Deep spatio-temporal graph network with self-optimization for air quality prediction
The environment and development are major issues of general concern. After much
suffering from the harm of environmental pollution, human beings began to pay attention to …
suffering from the harm of environmental pollution, human beings began to pay attention to …
Advances in Machine Learning for Sensing and Condition Monitoring
In order to overcome the complexities encountered in sensing devices with data collection,
transmission, storage and analysis toward condition monitoring, estimation and control …
transmission, storage and analysis toward condition monitoring, estimation and control …
Predicting PM2. 5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data
P Muthukumar, E Cocom, K Nagrecha, D Comer… - Air Quality, Atmosphere …, 2021 - Springer
Air pollution is one of the world's leading factors for early deaths. Every 5 s, someone around
the world dies from the adverse health effects of air pollution. In order to mitigate the effects …
the world dies from the adverse health effects of air pollution. In order to mitigate the effects …
PM2. 5 air pollution prediction through deep learning using multisource meteorological, wildfire, and heat data
P Muthukumar, K Nagrecha, D Comer, CF Calvert… - Atmosphere, 2022 - mdpi.com
Air pollution is a lethal global threat. To mitigate the effects of air pollution, we must first
understand it, find its patterns and correlations, and predict it in advance. Air pollution is …
understand it, find its patterns and correlations, and predict it in advance. Air pollution is …
IoT based Smart Air Pollution Monitoring System
PD Potbhare, K Bhange, G Tembhare… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
Now-a-days aerial pollution is a major issue driving attention towards the medical and
healthcare department. The neck of air pollution has hyperbolic with times by heap of things …
healthcare department. The neck of air pollution has hyperbolic with times by heap of things …
Interpreting hourly mass concentrations of PM2. 5 chemical components with an optimal deep-learning model
H Li, T Yang, Y Du, Y Tan, Z Wang - Journal of Environmental Sciences, 2025 - Elsevier
PM 2.5 constitutes a complex and diverse mixture that significantly impacts the environment,
human health, and climate change. However, existing observation and numerical simulation …
human health, and climate change. However, existing observation and numerical simulation …
Deep collaborative learning model for port-air pollutants prediction using automatic identification system
Air pollution in port cities is aggravated by ship pollutant emissions. A deep collaborative
learning (DCL)-based prediction model using automatic identification system (AIS) is …
learning (DCL)-based prediction model using automatic identification system (AIS) is …
Predicting energy consumption using LSTM and CNN deep learning algorithm
AV Abraham, P Sasidharan, SJS Tejas… - 2022 7th …, 2022 - ieeexplore.ieee.org
Innovations in technologies that rely on electricity have led to an uncontrollable rise in power
usage. In order to predict future electricity demand and enhance the power distribution …
usage. In order to predict future electricity demand and enhance the power distribution …
A Deep Learning approach to estimate Air Pollutants concentration levels in Delhi's Aerosphere
RK Choudhary, SK Singh - 2022 IEEE Global Conference on …, 2022 - ieeexplore.ieee.org
Environment sustainability is an important aspect of daily life. Nearly 7 million people get
killed worldwide every year by air pollution only. Now, when we look at India in terms of …
killed worldwide every year by air pollution only. Now, when we look at India in terms of …
Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM
Air pollution is the fourth-largest threat to human health. The harmful effects of air pollutants
have costed the global economy nearly 3trillion.Itisimperativethatasolutionformitigatingtheh …
have costed the global economy nearly 3trillion.Itisimperativethatasolutionformitigatingtheh …