PM2.5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition

Multiscaled Neural Autoregressive Distributed Lag: A New Empirical Mode Decomposition Model for Nonlinear Time Series Forecasting

(2020) Foued Saâdaoui et al.   International Journal of Neural Systems

Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model

(2019) Massimo Stafoggia et al.   ENVIRONMENT INTERNATIONAL

A wavelet-based hybrid neural network for short-term electricity prices forecasting

(2019) Foued Saâdaoui et al.   ARTIFICIAL INTELLIGENCE REVIEW

Hybrid feedforward ANN with NLS-based regression curve fitting for US air traffic forecasting

(2019) Foued Saâdaoui et al.   NEURAL COMPUTING & APPLICATIONS

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Predicting PM 10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)

(2018) Sechan Park et al.   JOURNAL OF HAZARDOUS MATERIALS

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

(2018) Mohammad Sadegh Norouzzadeh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A vision-based statistical methodology for automatically modeling continuous urban traffic flows

(2018) Hana Rabbouch et al.   ADVANCED ENGINEERING INFORMATICS

Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter

(2018) Richard Burnett et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy

(2018) Yan Zhu et al.   GASTROINTESTINAL ENDOSCOPY

A novel spatiotemporal convolutional long short-term neural network for air pollution prediction

(2018) Congcong Wen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Long short-term memory - Fully connected (LSTM-FC) neural network for PM2.5 concentration prediction

(2018) Jiachen Zhao et al.   CHEMOSPHERE

Dynamically pre-trained deep recurrent neural networks using environmental monitoring data for predicting PM2.5

(2015) Bun Theang Ong et al.   NEURAL COMPUTING & APPLICATIONS

Health impacts and economic losses assessment of the 2013 severe haze event in Beijing area

(2015) Meng Gao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Numerical model-based relationship between meteorological conditions and air quality and its implication for urban air quality management

(2015) Jianjun He et al.   INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION

Research on aerosol sources and chemical composition: Past, current and emerging issues

(2012) A.I. Calvo et al.   ATMOSPHERIC RESEARCH