A novel deep learning framework with variational auto-encoder for indoor air quality prediction
出版年份 2023 全文链接
标题
A novel deep learning framework with variational auto-encoder for indoor air quality prediction
作者
关键词
-
出版物
Frontiers of Environmental Science & Engineering
Volume 18, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2023-09-06
DOI
10.1007/s11783-024-1768-7
参考文献
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- (2022) Xue-Bo Jin et al. Mathematics
- Dynamic slow feature analysis and random forest for subway indoor air quality modeling
- (2022) Kai Zhang et al. BUILDING AND ENVIRONMENT
- An analytical partial least squares method for process monitoring
- (2022) Yihao Qin et al. CONTROL ENGINEERING PRACTICE
- A hybrid autoencoder framework of dimensionality reduction for brain-computer interface decoding
- (2022) Xingchen Ran et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Kernel PLS with AdaBoost ensemble learning for particulate matters forecasting in subway environment
- (2022) Jinyong Wang et al. MEASUREMENT
- A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting
- (2022) Zhengheng Pu et al. Frontiers of Environmental Science & Engineering
- Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural network
- (2022) Yuanxin Zhang et al. Frontiers of Environmental Science & Engineering
- A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes
- (2022) Jinchuan Qian et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- The toxicity of ambient fine particulate matter (PM2.5) to vascular endothelial cells
- (2021) Wei Xie et al. JOURNAL OF APPLIED TOXICOLOGY
- VAE-TALSTM: a temporal attention and variational autoencoder-based long short-term memory framework for dam displacement prediction
- (2021) Xiaosong Shu et al. ENGINEERING WITH COMPUTERS
- Concentration, composition, and exposure contributions of fine particulate matter on subway concourses in China
- (2021) Wenjing Ji et al. ENVIRONMENTAL POLLUTION
- Indoor Air Quality in Buildings: A Comprehensive Review on the Factors Influencing Air Pollution in Residential and Commercial Structure
- (2021) Mehzabeen Mannan et al. International Journal of Environmental Research and Public Health
- A joint model for IT operation series prediction and anomaly detection
- (2021) Run-Qing Chen et al. NEUROCOMPUTING
- Developing semi-supervised variational autoencoder-generative adversarial network models to enhance quality prediction performance
- (2021) Sai Kit Ooi et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A review of machine learning kernel methods in statistical process monitoring
- (2020) Anastasios Apsemidis et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders
- (2020) Jorge Loy-Benitez et al. CONTROL ENGINEERING PRACTICE
- Information concentrated variational auto-encoder for quality-related nonlinear process monitoring
- (2020) Jiazhen Zhu et al. JOURNAL OF PROCESS CONTROL
- Sensors and Analytical Technologies for Air Quality: Particulate Matters and Bioaerosols
- (2020) Xiaodi Su et al. Chemistry-An Asian Journal
- Machine learning and statistical models for predicting indoor air quality
- (2019) Wenjuan Wei et al. INDOOR AIR
- Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex
- (2019) Kuan Han et al. NEUROIMAGE
- Methods, availability, and applications of PM2.5 exposure estimates derived from ground measurements, satellite, and atmospheric models
- (2019) Minghui Diao et al. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION
- Particle exposure and inhaled dose while commuting in Lisbon
- (2019) C. Correia et al. ENVIRONMENTAL POLLUTION
- Multivariate statistical monitoring of subway indoor air quality using dynamic concurrent partial least squares
- (2019) Hongbin Liu et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Soft metrology based on machine learning: a review
- (2019) Marcela Vallejo et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes
- (2019) Bei Wang et al. IEEE Transactions on Industrial Informatics
- Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis
- (2018) Gabriel San Martin et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Learning Sparse Representation With Variational Auto-Encoder for Anomaly Detection
- (2018) Jiayu Sun et al. IEEE Access
- Air quality inside subway metro indoor environment worldwide: A review
- (2017) Bin Xu et al. ENVIRONMENT INTERNATIONAL
- Indoor air quality in public utility environments—a review
- (2017) Monika Śmiełowska et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- A comparison of principal component analysis, partial least-squares and reduced-rank regressions in the identification of dietary patterns associated with bone mass in ageing Australians
- (2017) Yohannes Adama Melaku et al. EUROPEAN JOURNAL OF NUTRITION
- Review of soft sensor methods for regression applications
- (2016) Francisco A.A. Souza et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Canonical correlation analysis-based fault detection methods with application to alumina evaporation process
- (2016) Zhiwen Chen et al. CONTROL ENGINEERING PRACTICE
- The health effects of ambient PM2.5 and potential mechanisms
- (2016) Shaolong Feng et al. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
- Improved canonical correlation analysis-based fault detection methods for industrial processes
- (2016) Zhiwen Chen et al. JOURNAL OF PROCESS CONTROL
- Indoor Air Quality in the Metro System in North Taiwan
- (2016) Ying-Yi Chen et al. International Journal of Environmental Research and Public Health
- Prediction of Indoor Air Exposure from Outdoor Air Quality Using an Artificial Neural Network Model for Inner City Commercial Buildings
- (2015) Avril Challoner et al. International Journal of Environmental Research and Public Health
- A review of unsupervised feature learning and deep learning for time-series modeling
- (2014) Martin Längkvist et al. PATTERN RECOGNITION LETTERS
- A review of variable selection methods in Partial Least Squares Regression
- (2012) Tahir Mehmood et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Data-driven prediction model of indoor air quality in an underground space
- (2010) Min Han Kim et al. KOREAN JOURNAL OF CHEMICAL ENGINEERING
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