Soft sensor based on multi‐phase stacking ensemble model with self‐selected primary learner for batch processes

Contribution of information about acute and geriatric characteristics to decisions about life-sustaining treatment for old patients in intensive care

(2023) Michael Beil et al.   BMC Medical Informatics and Decision Making

A novel ultrasonic inspection method of the heat exchangers based on circumferential waves and deep neural networks

(2023) Azamatjon Kakhramon ugli Malikov et al.   SCIENCE PROGRESS

Data-driven enabling technologies in soft sensors of modern internal combustion engines: Perspectives

(2023) Ji Li et al.   ENERGY

A novel outlier detecting algorithm based on the outlier turning points

(2023) Jinlong Huang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel multivariate statistical process monitoring algorithm: Orthonormal subspace analysis

(2022) Zhijiang Lou et al.   AUTOMATICA

Short-term runoff prediction using deep learning multi-dimensional ensemble method

(2022) Guanjun Liu et al.   JOURNAL OF HYDROLOGY

Deep Semi-Supervised Just-in-Time Learning Based Soft Sensor for Mooney Viscosity Estimation in Industrial Rubber Mixing Process

(2022) Yan Zhang et al.   Polymers

Ensemble deep learning: A review

(2022) M.A. Ganaie et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Evolutionary bagging for ensemble learning

(2022) Giang Ngo et al.   NEUROCOMPUTING

Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm

(2022) Duong Tran Anh et al.   APPLIED SOFT COMPUTING

Retrieving soil moisture from grape growing areas using multi-feature and stacking-based ensemble learning modeling

(2022) Shiyu Tao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Distributed Secure State Estimation of Multi-Agent Systems Under Homologous Sensor Attacks

(2022) Yukun Shi et al.   IEEE-CAA Journal of Automatica Sinica

Stacking-based multi-objective ensemble framework for prediction of hypertension

(2022) Lijuan Ren et al.   EXPERT SYSTEMS WITH APPLICATIONS

Mechanism-based deep learning for tray efficiency soft-sensing in distillation process

(2022) Shaochen Wang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Autocorrelation Feature Analysis for Dynamic Process Monitoring of Thermal Power Plants

(2022) Xin Ma et al.   IEEE Transactions on Cybernetics

Artificial neural networks for water quality soft-sensing in wastewater treatment: a review

(2021) Gongming Wang et al.   ARTIFICIAL INTELLIGENCE REVIEW

Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps

(2021) Kunsong Zhao et al.   IEEE TRANSACTIONS ON RELIABILITY

A hybrid machine learning approach for hypertension risk prediction

(2021) Min Fang et al.   NEURAL COMPUTING & APPLICATIONS

A new evaluation and prediction model of sound quality of high-speed permanent magnet motor based on genetic algorithm-radial basis function artificial neural network

(2021) Kai Hu et al.   SCIENCE PROGRESS

Integrated neural network model with pre-RBF kernels

(2021) Hui Wen et al.   SCIENCE PROGRESS

Partial least trimmed squares regression

(2021) Zhonghao Xie et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Online Secure State Estimation of Multiagent Systems Using Average Consensus

(2021) Yukun Shi et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Twenty years of distributed port-Hamiltonian systems: a literature review

(2020) Ramy Rashad et al.   IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION

A Just-in-Time Fine-Tuning Framework for Deep Learning of SAE in Adaptive Data-Driven Modeling of Time-Varying Industrial Processes

(2020) Yijun Wu et al.   IEEE SENSORS JOURNAL

Application of neural network to building environmental prediction and control

(2019) Ruocheng Li et al.   Building Services Engineering Research & Technology

Adaptive ensemble learning strategy for semi-supervised soft sensing

(2019) Xudong Shi et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Multivariate statistical process control of an industrial-scale fed-batch simulator

(2019) Carlos A. Duran-Villalobos et al.   COMPUTERS & CHEMICAL ENGINEERING

Local Parameter Optimization of LSSVM for Industrial Soft Sensing With Big Data and Cloud Implementation

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

Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor

(2019) Weiming Shao et al.   IEEE Transactions on Cybernetics

The re-optimization strategy of multi-layer hybrid building’s cooling and heating load soft sensing technology research based on temperature interval and hierarchical modeling techniques

(2018) Kai Liu et al.   Sustainable Cities and Society

Online local learning based adaptive soft sensor and its application to an industrial fed-batch chlortetracycline fermentation process

(2015) Huaiping Jin et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

External analysis-based regression model for robust soft sensing of multimode chemical processes

(2013) Zhiqiang Ge et al.   AICHE JOURNAL

Statistical analysis and online monitoring for handling multiphase batch processes with varying durations

(2011) Chunhui Zhao et al.   JOURNAL OF PROCESS CONTROL

Model optimization of SVM for a fermentation soft sensor

(2009) Guohai Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination

(2008) Zainal Ahmad et al.   NEUROCOMPUTING