Predicting polycyclic aromatic hydrocarbons in surface water by a multiscale feature extraction-based deep learning approach

A Feature Reconstruction-Based Multi-Task Regression Model for Cyanobacterial Distribution Forecasting Along the Water Column

(2021) Peng Jiang et al.   JOURNAL OF CLEANER PRODUCTION

A multi-stage predicting methodology based on data decomposition and error correction for ultra-short-term wind energy prediction

(2021) Yagang Zhang et al.   JOURNAL OF CLEANER PRODUCTION

A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting

(2020) Hongtao Li et al.   APPLIED SOFT COMPUTING

A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework

(2020) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Application of LSTM for short term fog forecasting based on meteorological elements

(2020) Kai-chao Miao et al.   NEUROCOMPUTING

A systematic literature review of forecasting and predictive models for cyanobacteria blooms in freshwater lakes

(2020) Benny Zuse Rousso et al.   WATER RESEARCH

Hybrid decision tree-based machine learning models for short-term water quality prediction

(2020) Hongfang Lu et al.   CHEMOSPHERE

Improved comprehensive ecological risk assessment method and sensitivity analysis of polycyclic aromatic hydrocarbons (PAHs)

(2020) Wenyue Liu et al.   ENVIRONMENTAL RESEARCH

Spatiotemporal analysis of the groundwater head variation caused by natural stimuli using independent component analysis and continuous wavelet transform

(2020) Jui-Pin Tsai et al.   JOURNAL OF HYDROLOGY

Calibration and quantifying uncertainty of daily water quality forecasts for large lakes with a Bayesian joint probability modelling approach

(2020) Zhaoliang Peng et al.   WATER RESEARCH

Tracking emission sources of PAHs in a region with pollution-intensive industries, Taihu Basin: From potential pollution sources to surface water

(2020) Yunzhu Huang et al.   ENVIRONMENTAL POLLUTION

Characterizing and predicting the impact of vehicular emissions on the transport and fate of polycyclic aromatic hydrocarbons in environmental multimedia

(2020) Ruifei Li et al.   JOURNAL OF CLEANER PRODUCTION

Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach

(2020) Mehdi Jamei et al.   JOURNAL OF HYDROLOGY

Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques

(2020) Yanlai Zhou   JOURNAL OF HYDROLOGY

Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history

(2020) Yaoran Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Predicting PM2.5 in Well-Mixed Indoor Air for a Large Office Building Using Regression and Artificial Neural Network Models

(2020) Brent Lagesse et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

(2020) Bixuan Gao et al.   RENEWABLE ENERGY

Groundwater quality forecasting using machine learning algorithms for irrigation purposes

(2020) Ali El Bilali et al.   AGRICULTURAL WATER MANAGEMENT

Riverine transport and water-sediment exchange of polycyclic aromatic hydrocarbons (PAHs) along the middle-lower Yangtze River, China

(2020) Zhonghua Zhao et al.   JOURNAL OF HAZARDOUS MATERIALS

A new secondary decomposition ensemble learning approach for carbon price forecasting

(2020) Hongtao Li et al.   KNOWLEDGE-BASED SYSTEMS

Fusion Method Combining Ground-Level Observations with Chemical Transport Model Predictions Using an Ensemble Deep Learning Framework: Application in China to Estimate Spatiotemporally-Resolved PM2.5 Exposure Fields in 2014–2017

(2019) Baolei Lyu et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

A sixteen-year reduction in the concentrations of aquatic PAHs corresponding to source shifts in the Elbe River, Germany

(2019) Ruifei Li et al.   JOURNAL OF CLEANER PRODUCTION

Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida

(2019) Mohammad Zounemat-Kermani et al.   Applied Sciences-Basel

A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting

(2019) Yagang Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Ensemble data assimilation methods for improving river water quality forecasting accuracy

(2019) Sibren Loos et al.   WATER RESEARCH

Predicting energy consumption: A multiple decomposition-ensemble approach

(2019) Cheng Zhou et al.   ENERGY

A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network

(2019) Wei Sun et al.   JOURNAL OF CLEANER PRODUCTION

Evaluating the effect of urban flooding reduction strategies in response to design rainfall and low impact development

(2019) Pei Hua et al.   JOURNAL OF CLEANER PRODUCTION

Spatial gradients of polycyclic aromatic hydrocarbons (PAHs) in air, atmospheric deposition, and surface water of the Ganges River basin

(2018) Brij Mohan Sharma et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Applying high-frequency surrogate measurements and a wavelet-ANN model to provide early warnings of rapid surface water quality anomalies

(2018) Bin Shi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology

(2018) Bhargava K Reddy et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

(2018) Elham Fijani et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Impact of urban pressure on the spatial and temporal dynamics of PAH fluxes in an urban tributary of the Seine River (France)

(2018) Claire Froger et al.   CHEMOSPHERE

Financial time series forecasting model based on CEEMDAN and LSTM

(2018) Jian Cao et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

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

(2017) Xiang Li et al.   ENVIRONMENTAL POLLUTION

Multi-scale prediction of water temperature using empirical mode decomposition with back-propagation neural networks

(2016) Shuangyin Liu et al.   COMPUTERS & ELECTRICAL ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Variational Mode Decomposition

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

Improving water quality forecasting via data assimilation – Application of maximum likelihood ensemble filter to HSPF

(2014) Sunghee Kim et al.   JOURNAL OF HYDROLOGY

Study of short-term water quality prediction model based on wavelet neural network

(2012) Longqin Xu et al.   MATHEMATICAL AND COMPUTER MODELLING

IMEP-23: The eight EU-WFD priority PAHs in water in the presence of humic acid

(2010) Johannes van de Kreeke et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

A hybrid neural network and ARIMA model for water quality time series prediction

(2009) Durdu Ömer Faruk   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Distribution of polycyclic aromatic hydrocarbons (PAHs) in Henan Reach of the Yellow River, Middle China

(2008) Jian-Hui Sun et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY