Subway air quality modeling using improved deep learning framework

Dynamic slow feature analysis and random forest for subway indoor air quality modeling

(2022) Kai Zhang et al.   BUILDING AND ENVIRONMENT

Deeppipe: Theory-guided neural network method for predicting burst pressure of corroded pipelines

(2022) Yunlu Ma et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

PM2.5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition

(2021) Guoyan Huang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Survey on Deep Learning for Data-Driven Soft Sensors

(2021) Qingqiang Sun et al.   IEEE Transactions on Industrial Informatics

A new deep model based on the stacked autoencoder with intensified iterative learning style for industrial fault detection

(2021) Jianbo Yu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Process intensification of hydrogen production by catalytic steam methane reforming: Performance analysis of multilayer perceptron-artificial neural networks and nonlinear response surface techniques

(2021) Bamidele Victor Ayodele et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Inflammatory cytokines and DNA methylation in healthy young adults exposure to fine particulate matter: A randomized, double-blind crossover trial of air filtration

(2020) Yanyan Sun et al.   JOURNAL OF HAZARDOUS MATERIALS

Modeling the Effect of Process Parameters on the Photocatalytic Degradation of Organic Pollutants Using Artificial Neural Networks

(2020) Bamidele Victor Ayodele et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Modeling air quality prediction using a deep learning approach: Method optimization and evaluation

(2020) Wenjing Mao et al.   Sustainable Cities and Society

Forecasting the power consumption of a rotor spinning machine by using an adaptive squeeze and excitation convolutional neural network with imbalanced data

(2020) Chuqiao Xu et al.   JOURNAL OF CLEANER PRODUCTION

Transfer learning driven sequential forecasting and ventilation control of PM2.5 associated health risk levels in underground public facilities

(2020) Shahzeb Tariq et al.   JOURNAL OF HAZARDOUS MATERIALS

Monitoring of wastewater treatment processes using dynamic concurrent kernel partial least squares

(2020) Hongbin Liu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering

(2020) Rui Yan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

(2020) Xiaofeng Yuan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Data-Driven Hybrid Model for Forecasting Wastewater Influent Loads Based on Multimodal and Ensemble Deep Learning

(2020) SungKu Heo et al.   IEEE Transactions on Industrial Informatics

Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review

(2019) Manel Rhif et al.   Applied Sciences-Basel

Deep learning-based PM2.5 prediction considering the spatiotemporal correlations: A case study of Beijing, China

(2019) Unjin Pak et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Stock closing price prediction based on sentiment analysis and LSTM

(2019) Zhigang Jin et al.   NEURAL COMPUTING & APPLICATIONS

Daily urban air quality index forecasting based on variational mode decomposition, sample entropy and LSTM neural network

(2019) Qunli Wu et al.   Sustainable Cities and Society

Constructing a PM2.5 concentration prediction model by combining auto-encoder with Bi-LSTM neural networks

(2019) Bo Zhang et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms

(2019) Ekta Sharma et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Multitask Air-Quality Prediction Based on LSTM-Autoencoder Model

(2019) Xinghan Xu et al.   IEEE Transactions on Cybernetics

Deep Air Quality Forecasting Using Hybrid Deep Learning Framework

(2019) Shengdong Du et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression

(2018) Jui-Sheng Chou et al.   IEEE Transactions on Industrial Informatics

Predicting PM 10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)

(2018) Sechan Park et al.   JOURNAL OF HAZARDOUS MATERIALS

Modeling of subway indoor air quality using Gaussian process regression

(2018) Hongbin Liu et al.   JOURNAL OF HAZARDOUS MATERIALS

A dynamic gain-scheduled ventilation control system for a subway station based on outdoor air quality conditions

(2018) Jorge Loy-Benitez et al.   BUILDING AND ENVIRONMENT

A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting

(2016) Mingfei Niu et al.   ATMOSPHERIC ENVIRONMENT

A robust localized soft sensor for particulate matter modeling in Seoul metro systems

(2016) Hongbin Liu et al.   JOURNAL OF HAZARDOUS MATERIALS

A sensor-software based on a genetic algorithm-based neural fuzzy system for modeling and simulating a wastewater treatment process

(2015) Mingzhi Huang et al.   APPLIED SOFT COMPUTING

A multivariate study for characterizing particulate matter (PM10, PM2.5, and PM1) in Seoul metropolitan subway stations, Korea

(2015) Soon-Bark Kwon et al.   JOURNAL OF HAZARDOUS MATERIALS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

(2015) Wen-chuan Wang et al.   WATER RESOURCES MANAGEMENT