Deep learning architecture for air quality predictions

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

PCANet: A Simple Deep Learning Baseline for Image Classification?

(2015) Tsung-Han Chan et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Temporal trends of spatial correlation within the PM10 time series of the AirBase ambient air quality database

(2015) Oliver Kracht et al.   INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION

Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting

(2015) Chun-Yang Zhang et al.   IEEE Transactions on Sustainable Energy

Seasonal modeling of PM2.5 in California's San Joaquin Valley

(2014) Jianjun Chen et al.   ATMOSPHERIC ENVIRONMENT

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

(2014) Wenhao Huang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Traffic Flow Prediction With Big Data: A Deep Learning Approach

(2014) Yisheng Lv et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Forecasting SO2Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models

(2013) Antonio Bernardo Sánchez et al.   Abstract and Applied Analysis

A SVM-based regression model to study the air quality at local scale in Oviedo urban area (Northern Spain): A case study

(2013) P.J. García Nieto et al.   APPLIED MATHEMATICS AND COMPUTATION

Ensemble and enhanced PM10 concentration forecast model based on stepwise regression and wavelet analysis

(2013) Yuanyuan Chen et al.   ATMOSPHERIC ENVIRONMENT

Nonlinear Air Quality Modeling Using Support Vector Machines in Gijón Urban Area (Northern Spain) at Local Scale

(2013) A. Suárez Sánchez et al.   INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION

Ozone prediction on the basis of neural networks, support vector regression and methods with uncertainty

(2012) Petr Hájek et al.   Ecological Informatics

Prediction of dust concentration in open cast coal mine using artificial neural network

(2012) Bindhu Lal et al.   Atmospheric Pollution Research

Neural Network Structure for Spatio-Temporal Long-Term Memory

(2012) V. A. Nguyen et al.   IEEE Transactions on Neural Networks and Learning Systems

Forecasting urban PM10 and PM2.5 pollution episodes in very stable nocturnal conditions and complex terrain using WRF–Chem CO tracer model

(2011) Pablo E. Saide et al.   ATMOSPHERIC ENVIRONMENT

A study on the potential applications of satellite data in air quality monitoring and forecasting

(2011) Can Li et al.   ATMOSPHERIC ENVIRONMENT

Spatial Heterogeneity of PM10 and O3 in São Paulo, Brazil, and Implications for Human Health Studies

(2011) Mercedes A. Bravo et al.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION

Source contributions to carbonaceous aerosol concentrations in Korea

(2010) Jaein I. Jeong et al.   ATMOSPHERIC ENVIRONMENT

Forecasting air pollutant indicator levels with geographic models 3days in advance using neural networks

(2010) Atakan Kurt et al.   EXPERT SYSTEMS WITH APPLICATIONS

Improving ozone modeling in complex terrain at a fine grid resolution: Part I – examination of analysis nudging and all PBL schemes associated with LSMs in meteorological model

(2009) Yunhee Kim et al.   ATMOSPHERIC ENVIRONMENT

A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile

(2008) Luis A. Díaz-Robles et al.   ATMOSPHERIC ENVIRONMENT

A model inter-comparison study focussing on episodes with elevated PM10 concentrations

(2008) R. Stern et al.   ATMOSPHERIC ENVIRONMENT