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[HTML][HTML] Air pollution prediction using long short-term memory (LSTM) and deep autoencoder (DAE) models
Many countries worldwide have poor air quality due to the emission of particulate matter (ie,
PM10 and PM2. 5), which has led to concerns about human health impacts in urban areas …
PM10 and PM2. 5), which has led to concerns about human health impacts in urban areas …
Integrated multiple directed attention-based deep learning for improved air pollution forecasting
In recent years, human health across the world is becoming concerned by a constant threat
of air pollution, which causes many chronic diseases and premature mortalities. Poor air …
of air pollution, which causes many chronic diseases and premature mortalities. Poor air …
Emerging Technologies for Automation in Environmental Sensing
This article explores the impact of automation on environmental sensing, focusing on
advanced technologies that revolutionize data collection analysis and monitoring. The …
advanced technologies that revolutionize data collection analysis and monitoring. The …
Air quality particulate-pollution prediction applying GAN network and the Neural Turing Machine
Urban areas in many countries face significant concerns over the presence of aerosol
particles and their effects on human health. These particles, which range in size from 1 …
particles and their effects on human health. These particles, which range in size from 1 …
Monitoring and prediction of dust concentration in an open-pit mine using a deep-learning algorithm
L Li, R Zhang, J Sun, Q He, L Kong, X Liu - Journal of environmental …, 2021 - Springer
Purpose Dust pollution is currently one of the most serious environmental problems faced by
open-pit mines. Compared with underground mining, open-pit mining has many dust …
open-pit mines. Compared with underground mining, open-pit mining has many dust …
[HTML][HTML] Insights into multi-model federated learning: An advanced approach for air quality index forecasting
The air quality index (AQI) forecast in big cities is an exciting study area in smart cities and
healthcare on the Internet of Things. In recent years, a large number of empirical, academic …
healthcare on the Internet of Things. In recent years, a large number of empirical, academic …
Federated Learning for Air Quality Index Prediction: An Overview
The air quality index forecast in big cities is an exciting study area in smart cities and
healthcare on the Internet of Things. In recent years, a large number of empirical, academic …
healthcare on the Internet of Things. In recent years, a large number of empirical, academic …
DAerosol-NTM: applying deep learning and neural Turing machine in aerosol prediction
The pollution caused by aerosol (particulate matter) has a detrimental impact on urban
environments, particularly in terms of socio-economic factors and public health. Aerosol …
environments, particularly in terms of socio-economic factors and public health. Aerosol …
Micro-Locational Fine Dust Prediction Utilizing Machine Learning and Deep Learning Models.
Given the increasing number of countries reporting degraded air quality, effective air quality
monitoring has become a critical issue in today's world. However, the current air quality …
monitoring has become a critical issue in today's world. However, the current air quality …
Air Pollution Forecasting Using Deep Learning.
M Alghieth, R Alawaji, SH Saleh… - International Journal of …, 2021 - search.ebscohost.com
Nowadays, air pollution is getting an extreme problem that affects the whole environment.
Due to the dangerous effects of air pollution on human's health, this study proposes an air …
Due to the dangerous effects of air pollution on human's health, this study proposes an air …