Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks

Nanoparticle Size Distributions in Mexico City

(2019) L. Caudillo et al.   Atmospheric Pollution Research

Environmental data treatment to support exposure studies: The statistical behavior for NO2, O3, PM10 and PM2.5 air concentrations in Europe

(2019) John G. Bartzis et al.   ENVIRONMENTAL RESEARCH

Pulmonary toxicity in rats following inhalation exposure to poorly soluble particles: The issue of impaired clearance and the relevance for human health hazard and risk assessment

(2019) Peter M.J. Bos et al.   REGULATORY TOXICOLOGY AND PHARMACOLOGY

Feature Extraction of EEG Signal upon BCI Systems Based on Steady-State Visual Evoked Potentials Using the Ant Colony Optimization Algorithm

(2018) S. M. Fernandez-Fraga et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

The association between exposure to air pollutants including PM 10 , PM 2.5 , ozone, carbon monoxide, sulfur dioxide, and nitrogen dioxide concentration and the relative risk of developing STEMI: A case-crossover design

(2018) Mohammad Ali Akbarzadeh et al.   ENVIRONMENTAL RESEARCH

Discovering relationships and forecasting PM 10 and PM 2.5 concentrations in Bogotá, Colombia, using Artificial Neural Networks, Principal Component Analysis, and k-means clustering

(2018) Fabiana Franceschi et al.   Atmospheric Pollution Research

Air Pollution and Noncommunicable Diseases

(2018) Dean E. Schraufnagel et al.   CHEST

Long-range transport of air pollutants originating in China: A possible major cause of multi-day high-PM10 episodes during cold season in Seoul, Korea

(2015) Hye-Ryun Oh et al.   ATMOSPHERIC ENVIRONMENT

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

A Prognostic Approach Based on Fuzzy-Logic Methodology to Forecast PM10 Levels in Khaldiya Residential Area, Kuwait

(2012) Kaan Yetilmezsoy et al.   Aerosol and Air Quality Research