MPA-RNN: A Novel Attention-Based Recurrent Neural Networks for Total Nitrogen Prediction

Multivariate time series forecasting via attention-based encoder–decoder framework

(2020) Shengdong Du et al.   NEUROCOMPUTING

Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework

(2020) Zulfiqar Ahmad Khan et al.   SENSORS

Prediction of dissolved oxygen content in aquaculture using Clustering-based Softplus Extreme Learning Machine

(2019) Pei Shi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Explicit and interpretable nonlinear soft sensor models for influent surveillance at a full-scale wastewater treatment plant

(2019) Xiaodong Wang et al.   JOURNAL OF PROCESS CONTROL

Multiple Convolutional Neural Networks for Multivariate Time Series Prediction

(2019) Kang Wang et al.   NEUROCOMPUTING

Temporal pattern attention for multivariate time series forecasting

(2019) Shun-Yao Shih et al.   MACHINE LEARNING

Attention-based recurrent neural networks for accurate short-term and long-term dissolved oxygen prediction

(2019) Yeqi Liu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Multistage attention network for multivariate time series prediction

(2019) Jun Hu et al.   NEUROCOMPUTING

DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction

(2019) Yeqi Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Automatic Deep Extraction of Robust Dynamic Features for Industrial Big Data Modeling and Soft Sensor Application

(2019) Xinyu Zhang et al.   IEEE Transactions on Industrial Informatics

Research on a dissolved oxygen prediction method for recirculating aquaculture systems based on a convolution neural network

(2018) Xuxiang Ta et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Soft-sensing with qualitative trend analysis for wastewater treatment plant control

(2018) Christian M. Thürlimann et al.   CONTROL ENGINEERING PRACTICE

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

(2018) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Integrated soft sensor with wavelet neural network and adaptive weighted fusion for water quality estimation in wastewater treatment process

(2018) Qiumei Cong et al.   MEASUREMENT

Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features

(2018) Zhihui Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Rank-Constrained Spectral Clustering With Flexible Embedding

(2018) Zhihui Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Neural Machine Translation with Deep Attention

(2018) Biao Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Hybrid soft computing approach for determining water quality indicator: Euphrates River

(2017) Jing Li et al.   NEURAL COMPUTING & APPLICATIONS

SVM hyperparameters tuning for recursive multi-step-ahead prediction

(2016) Jie Liu et al.   NEURAL COMPUTING & APPLICATIONS

A hybrid WA–CPSO-LSSVR model for dissolved oxygen content prediction in crab culture

(2013) Shuangyin Liu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Data-derived soft-sensors for biological wastewater treatment plants: An overview

(2013) Henri Haimi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

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

(2009) Durdu Ömer Faruk   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

An unbiased LSSVM model for classification and regression

(2009) Hong-Qiao Wang et al.   SOFT COMPUTING