A combined forecasting system based on multi-objective optimization and feature extraction strategy for hourly PM2.5 concentration

Fuzzy Inference System Tree with Particle Swarm Optimization and Genetic Algorithm: A novel approach for PM10 forecasting

(2021) Jagriti Saini et al.   EXPERT SYSTEMS WITH APPLICATIONS

Hourly PM2.5 concentration forecasting based on feature extraction and Stacking-driven ensemble model for the winter of the Beijing-Tianjin-Hebei area

(2020) Wei Sun et al.   Atmospheric Pollution Research

An LSTM-based aggregated model for air pollution forecasting

(2020) Yue-Shan Chang et al.   Atmospheric Pollution Research

Combined use of principal component analysis and artificial neural network approach to improve estimates of PM2.5 personal exposure: A case study on older adults

(2020) Shuang Gao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5 Concentrations, and Its Applications in China

(2020) Hui Liu et al.   Engineering

Hourly PM2.5 concentration forecast using stacked autoencoder model with emphasis on seasonality

(2019) Yun Bai et al.   JOURNAL OF CLEANER PRODUCTION

A hybrid framework for forecasting PM2.5 concentrations using multi-step deterministic and probabilistic strategy

(2019) Hui Liu et al.   Air Quality Atmosphere and Health

Meteorological pattern analysis assisted daily PM2.5 grades prediction using SVM optimized by PSO algorithm

(2019) Wei Liu et al.   Atmospheric Pollution Research

Air PM2.5 concentration multi-step forecasting using a new hybrid modeling method: Comparing cases for four cities in China

(2019) Hui Liu et al.   Atmospheric Pollution Research

A novel combined model based on hybrid optimization algorithm for electrical load forecasting

(2019) Rui Wang et al.   APPLIED SOFT COMPUTING

Lidar data assimilation method based on CRTM and WRF-Chem models and its application in PM2.5 forecasts in Beijing

(2019) Xinghong Cheng et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting Slope Stability Failure through Machine Learning Paradigms

(2019) Bui et al.   ISPRS International Journal of Geo-Information

Research and application of the hybrid forecasting model based on secondary denoising and multi-objective optimization for air pollution early warning system

(2019) Jianzhou Wang et al.   JOURNAL OF CLEANER PRODUCTION

A secondary decomposition based hybrid structure with meteorological analysis for deterministic and probabilistic wind speed forecasting

(2019) Zhuochun Wu et al.   APPLIED SOFT COMPUTING

A novel combined forecasting system for air pollutants concentration based on fuzzy theory and optimization of aggregation weight

(2019) Hufang Yang et al.   APPLIED SOFT COMPUTING

A secondary-decomposition-ensemble learning paradigm for forecasting PM 2.5 concentration

(2018) Kai Gan et al.   Atmospheric Pollution Research

Trend analysis and forecast of PM2.5 in Fuzhou, China using the ARIMA model

(2018) Lanyi Zhang et al.   ECOLOGICAL INDICATORS

A novel discrete grey multivariable model and its application in forecasting the output value of China’s high-tech industries

(2018) Song Ding   COMPUTERS & INDUSTRIAL ENGINEERING

A novel hybrid strategy for PM 2.5 concentration analysis and prediction

(2017) Ping Jiang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization

(2016) Seyedali Mirjalili et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparing cosmic web classifiers using information theory

(2016) Florent Leclercq et al.   JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS

Water cycle algorithm for solving constrained multi-objective optimization problems

(2015) Ali Sadollah et al.   APPLIED SOFT COMPUTING

PM2.5 analog forecast and Kalman filter post-processing for the Community Multiscale Air Quality (CMAQ) model

(2015) Irina Djalalova et al.   ATMOSPHERIC ENVIRONMENT

A hierarchical optimization model for energy data flow in smart grid power systems

(2015) Moath Jarrah et al.   INFORMATION SYSTEMS

Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems

(2015) Seyedali Mirjalili   NEURAL COMPUTING & APPLICATIONS

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A hybrid model for PM 2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network

(2014) Qingping Zhou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

China tackles the health effects of air pollution

(2013) Zhu Chen et al.   LANCET