A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: Application to soft sensing for chemical process

A spatial-temporal LWPLS for adaptive soft sensor modeling and its application for an industrial hydrocracking process

(2020) Xiaofeng Yuan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A deep learning just-in-time modeling approach for soft sensor based on variational autoencoder

(2020) Fan Guo et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes

(2020) Yan-Lin He et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Semi-supervised sparse representation classifier (S3RC) with deep features on small sample sized hyperspectral images

(2020) M. Said Aydemir et al.   NEUROCOMPUTING

Autoencoder-based nonlinear Bayesian locally weighted regression for soft sensor development

(2020) Kang Liu et al.   ISA TRANSACTIONS

An unsupervised fault diagnosis method for rolling bearing using STFT and generative neural networks

(2020) Hongfeng Tao et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Robust identification for fault detection in the presence of non-Gaussian noises: application to hydraulic servo drives

(2020) Vladimir Stojanovic et al.   NONLINEAR DYNAMICS

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

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

State and parameter joint estimation of linear stochastic systems in presence of faults and non‐Gaussian noises

(2020) Vladimir Stojanovic et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Event-based fuzzy control for T-S fuzzy networked systems with various data missing

(2020) Ziran Chen et al.   NEUROCOMPUTING

A novel algorithm for dead time estimation between soft sensor inputs and output

(2019) Luka Mejić et al.   COMPUTERS & CHEMICAL ENGINEERING

Dealing with small sample size problems in process industry using virtual sample generation: a Kriging-based approach

(2019) Qun-Xiong Zhu et al.   SOFT COMPUTING

Data supplement for a soft sensor using a new generative model based on a variational autoencoder and Wasserstein GAN

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

Data-Driven Modeling Based on Two-Stream ${\rm{\lambda }}$ Gated Recurrent Unit Network With Soft Sensor Application

(2019) Ruimin Xie et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Data-Driven Soft Sensor Based on Multilayer Perceptron Neural Network With a Double LASSO Approach

(2019) Yajun Fan et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Soft sensor modeling of chemical process based on self-organizing recurrent interval type-2 fuzzy neural network

(2018) Taoyan Zhao et al.   ISA TRANSACTIONS

A PSO based virtual sample generation method for small sample sets: Applications to regression datasets

(2017) Zhong-Sheng Chen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Review of soft sensor methods for regression applications

(2016) Francisco A.A. Souza et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Co-training partial least squares model for semi-supervised soft sensor development

(2015) Liang Bao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Generating information for small data sets with a multi-modal distribution

(2014) Der-Chiang Li et al.   DECISION SUPPORT SYSTEMS

A tree-based-trend-diffusion prediction procedure for small sample sets in the early stages of manufacturing systems

(2011) Der-Chiang Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel virtual sample generation method based on Gaussian distribution

(2011) Jing Yang et al.   KNOWLEDGE-BASED SYSTEMS

Advances in Studies and Applications of Centroidal Voronoi Tessellations

(2010) Qiang Du et al.   Numerical Mathematics-Theory Methods and Applications