An innovative coupled model in view of wavelet transform for predicting short-term PM10 concentration

Erosion simulation and improvement scheme of separator blowdown system ——A case study of Changning national shale gas demonstration area

(2021) Enbin Liu et al.   Journal of Natural Gas Science and Engineering

Nature-inspired hybrid techniques of IWO, DA, ES, GA, and ICA, validated through a k-fold validation process predicting monthly natural gas consumption

(2020) Weibiao Qiao et al.   ENERGY AND BUILDINGS

Research on the steady‐state operation optimization technology of oil pipeline

(2020) Enbin Liu et al.   Energy Science & Engineering

Underwater targets classification using local wavelet acoustic pattern and Multi-Layer Perceptron neural network optimized by modified Whale Optimization Algorithm

(2020) Weibiao Qiao et al.   OCEAN ENGINEERING

Forecasting PM10 in the Bay of Algeciras Based on Regression Models

(2019) José Palomares-Salas et al.   Sustainability

Recurrent Neural Network and random forest for analysis and accurate forecast of atmospheric pollutants: A case study in Hangzhou, China

(2019) Rui Feng et al.   JOURNAL OF CLEANER PRODUCTION

Macao air quality forecast using statistical methods

(2019) Man Tat Lei et al.   Air Quality Atmosphere and Health

A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer

(2019) Weibiao Qiao et al.   JOURNAL OF CLEANER PRODUCTION

Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction

(2019) Sujan Ghimire et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Forecast of PM10 time-series data: A study case in Caribbean cities

(2019) Angel Cujia et al.   Atmospheric Pollution Research

Forecast the electricity price of U.S. using a wavelet transform-based hybrid model

(2019) Weibiao Qiao et al.   ENERGY

Short-term natural gas consumption prediction based on Volterra adaptive filter and improved whale optimization algorithm

(2019) Weibiao Qiao et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Urban Air Quality Analysis and Forecast Based on Intelligent Algorithm with Parameter Optimization and Decision Rules

(2019) Chou-Yuan Lee et al.   Applied Sciences-Basel

A hybrid Grey-Markov/ LUR model for PM 10 concentration prediction under future urban scenarios

(2018) Shan Xu et al.   ATMOSPHERIC ENVIRONMENT

Multiple linear regression and regression with time series error models in forecasting PM10 concentrations in Peninsular Malaysia

(2018) Kar Yong Ng et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Forecasting PM10 levels using ANN and MLR: A case study for Sakarya City

(2018)   Global NEST Journal

Daily PM10 concentration forecasting based on multiscale fusion support vector regression

(2018) Yong Li et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

PM 10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

(2018) P.J. García Nieto et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities

(2018) Chiou-Jye Huang et al.   SENSORS

Forecasting air quality time series using deep learning

(2018) Brian S. Freeman et al.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION

Application of computational intelligence techniques to forecast daily PM 10 exceedances in Brunei Darussalam

(2018) Sam-Quarcoo Dotse et al.   Atmospheric Pollution 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

Forecasting PM 10 hourly concentrations in northern Italy: Insights on models performance and PM 10 drivers through self-organizing maps

(2018) Giovanni Gualtieri et al.   Atmospheric Pollution Research

Novel hybrid model for daily prediction of PM10 using principal component analysis and artificial neural network

(2018) V. Yadav et al.   International Journal of Environmental Science and Technology

Predictive analytics of PM10 concentration levels using detailed traffic data

(2018) Uroš Lešnik et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

Multi-output support vector machine for regional multi-step-ahead PM2.5 forecasting

(2018) Yanlai Zhou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Explore a deep learning multi-output neural network for regional multi-step-ahead air quality forecasts

(2018) Yanlai Zhou et al.   JOURNAL OF CLEANER PRODUCTION

Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation

(2017) Xiang Li et al.   ENVIRONMENTAL POLLUTION

A novel hybrid model for air quality index forecasting based on two-phase decomposition technique and modified extreme learning machine

(2017) Deyun Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Forecasting of particulate matter time series using wavelet analysis and wavelet-ARMA/ARIMA model in Taiyuan, China

(2017) Hong Zhang et al.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION

Recursive neural network model for analysis and forecast of PM10 and PM2.5

(2017) Fabio Biancofiore et al.   Atmospheric Pollution Research

Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions

(2016) Yun Bai et al.   Atmospheric Pollution Research

Nearest Neighbour Based Forecast Model for PM10 Forecasting: Individual and Combination Forecasting

(2015) Asha B. Chelani   Aerosol and Air Quality Research

Artificial neural networks forecasting of PM 2.5 pollution using air mass trajectory based geographic model and wavelet transformation

(2015) Xiao Feng et al.   ATMOSPHERIC ENVIRONMENT

A novel hybrid forecasting model for PM10 and SO2 daily concentrations

(2015) Ping Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Neural network model for the prediction of PM10 daily concentrations in two sites in the Western Mediterranean

(2013) Gianluigi de Gennaro et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Development and Application of Artificial Neural Network Modeling in Forecasting PM10 Levels in a Mediterranean City

(2013) K. P. Moustris et al.   WATER AIR AND SOIL POLLUTION

Forecasting PM10 in metropolitan areas: Efficacy of neural networks

(2012) H.J.S. Fernando et al.   ENVIRONMENTAL POLLUTION

PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization

(2012) Davor Z. Antanasijević et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Improving the accuracy of prediction of PM10 pollution by the wavelet transformation and an ensemble of neural predictors

(2011) K. Siwek et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Artificial Neural Network Models for Daily PM10 Air Pollution Index Prediction in the Urban Area of Wuhan, China

(2011) Shengjun Wu et al.   ENVIRONMENTAL ENGINEERING SCIENCE

Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki

(2011) Dimitris Voukantsis et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An enhanced PM2.5 air quality forecast model based on nonlinear regression and back-trajectory concentrations

(2010) W. Geoffrey Cobourn   ATMOSPHERIC ENVIRONMENT

Quality and performance of a PM10 daily forecasting model☆

(2007) Ernst Stadlober et al.   ATMOSPHERIC ENVIRONMENT