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

Exposure to fine particulate matter promotes platelet activation and thrombosis via obesity-related inflammation

(2021) Dayu Hu et al.   JOURNAL OF HAZARDOUS MATERIALS

A data-driven corrosion prediction model to support digitization of subsea operations

(2021) Xinhong Li et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Influence of particle properties and environmental factors on the performance of typical particle monitors and low-cost particle sensors in the market of China

(2021) Dan Wu et al.   ATMOSPHERIC ENVIRONMENT

Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management

(2021) Jorge Loy-Benitez et al.   BUILDING AND ENVIRONMENT

A novel kernel dynamic inner slow feature analysis method for dynamic nonlinear process concurrent monitoring of operating point deviations and process dynamics anomalies

(2021) Yuemei Xu et al.   JOURNAL OF PROCESS CONTROL

Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine

(2020) Hongbin Liu et al.   APPLIED SOFT COMPUTING

Integrating dynamic slow feature analysis with neural networks for enhancing soft sensor performance

(2020) Jeremiah Corrigan et al.   COMPUTERS & CHEMICAL ENGINEERING

A multi-city air pollution population exposure study: Combined use of chemical-transport and random-Forest models with dynamic population data

(2020) Claudio Gariazzo et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Robust neural networks with random weights based on generalized M-estimation and PLS for imperfect industrial data modeling

(2020) Ping Zhou et al.   CONTROL ENGINEERING PRACTICE

Quantitative assessment of the importance of bio-physical drivers of land cover change based on a random forest method

(2020) Yanrong Meng et al.   Ecological Informatics

PM2.5-bound heavy metals from the major cities in China: Spatiotemporal distribution, fuzzy exposure assessment and health risk management

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

An experimental modeling of cyclone separator efficiency with PCA-PSO-SVR algorithm

(2019) Wei Zhang et al.   POWDER TECHNOLOGY

Machine learning and statistical models for predicting indoor air quality

(2019) Wenjuan Wei et al.   INDOOR AIR

An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution

(2019) Qian Di et al.   ENVIRONMENT INTERNATIONAL

Mixture modeling for industrial soft sensor application based on semi-supervised probabilistic PLS

(2019) Junhua Zheng et al.   JOURNAL OF PROCESS CONTROL

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

Classification and interaction in random forests

(2018) Danielle Denisko et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Commuter health risk and the protective effect of three typical metro environmental control systems in Beijing, China

(2018) Shengquan He et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

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

Field and Laboratory Evaluations of the Low-Cost Plantower Particulate Matter Sensor

(2018) Misti Levy Zamora et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Personal exposure to fine particulate matter, lung function and serum club cell secretory protein (Clara)

(2017) Cuicui Wang et al.   ENVIRONMENTAL POLLUTION

Factors controlling air quality in different European subway systems

(2016) Vânia Martins et al.   ENVIRONMENTAL RESEARCH

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

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

Slow feature analysis for monitoring and diagnosis of control performance

(2016) Chao Shang et al.   JOURNAL OF PROCESS CONTROL

Laboratory Evaluation and Calibration of Three Low-Cost Particle Sensors for Particulate Matter Measurement

(2015) Yang Wang et al.   AEROSOL SCIENCE AND TECHNOLOGY

Artificial Intelligence techniques applied as estimator in chemical process systems – A literature survey

(2015) Jarinah Mohd Ali et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluation of passenger health risk assessment of sustainable indoor air quality monitoring in metro systems based on a non-Gaussian dynamic sensor validation method

(2014) MinJeong Kim et al.   JOURNAL OF HAZARDOUS MATERIALS

Multi-objective optimization of indoor air quality control and energy consumption minimization in a subway ventilation system

(2013) Hongbin Liu et al.   ENERGY AND BUILDINGS

Review of Recent Research on Data-Based Process Monitoring

(2013) Zhiqiang Ge et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Survey on data-driven industrial process monitoring and diagnosis

(2012) S. Joe Qin   ANNUAL REVIEWS IN CONTROL

Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy

(2010) A.M. Mouazen et al.   GEODERMA

Data-driven prediction model of indoor air quality in an underground space

(2010) Min Han Kim et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING

Data-driven Soft Sensors in the process industry

(2009) Petr Kadlec et al.   COMPUTERS & CHEMICAL ENGINEERING