| BOIS: Bayesian Optimization of Interconnected Systems | Nov 19, 2023 | Bayesian OptimizationChemical Process | —Unverified | 0 |
| Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory Network | Nov 13, 2023 | Chemical ProcessComputational Efficiency | CodeCode Available | 1 |
| Robust Machine Learning Modeling for Predictive Control Using Lipschitz-Constrained Neural Networks | Aug 26, 2023 | Chemical ProcessModel Predictive Control | —Unverified | 0 |
| Structured Pruning of Neural Networks for Constraints Learning | Jul 14, 2023 | Chemical Process | —Unverified | 0 |
| Deep Anomaly Detection on Tennessee Eastman Process Data | Mar 10, 2023 | Anomaly DetectionChemical Process | —Unverified | 0 |
| An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis | Feb 13, 2023 | Chemical ProcessClustering | —Unverified | 0 |
| Data augmentation for machine learning of chemical process flowsheets | Feb 7, 2023 | Chemical ProcessData Augmentation | —Unverified | 0 |
| Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data | Oct 20, 2022 | Chemical ProcessFault Diagnosis | —Unverified | 0 |
| Quantifying constraints determining independent activation on NMDA receptors mediated currents from evoked and spontaneous synaptic transmission at an individual synapse | Oct 8, 2022 | Chemical Process | —Unverified | 0 |
| SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes | Aug 17, 2022 | Anomaly DetectionChemical Process | CodeCode Available | 1 |
| A sensitivity-based approach to optimal sensor selection for process networks | Aug 1, 2022 | Chemical ProcessSensitivity | —Unverified | 0 |
| SFILES 2.0: An extended text-based flowsheet representation | Jul 25, 2022 | Chemical Process | —Unverified | 0 |
| Flowsheet synthesis through hierarchical reinforcement learning and graph neural networks | Jul 25, 2022 | Chemical ProcessDecision Making | —Unverified | 0 |
| Latent Variable Method Demonstrator -- Software for Understanding Multivariate Data Analytics Algorithms | May 17, 2022 | Chemical Processregression | CodeCode Available | 1 |
| Spatial-temporal associations representation and application for process monitoring using graph convolution neural network | May 11, 2022 | Chemical ProcessGraph Classification | —Unverified | 0 |
| Emergent simulation of cell-like shapes satisfying the conditions of life using lattice-type multiset chemical model | Apr 21, 2022 | Chemical Process | CodeCode Available | 0 |
| Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks | Jan 30, 2022 | Chemical Process | —Unverified | 0 |
| A Grid-Structured Model of Tubular Reactors | Dec 13, 2021 | Chemical Processmodel | —Unverified | 0 |
| Machine Learning-Based Soft Sensors for Vacuum Distillation Unit | Nov 19, 2021 | BIG-bench Machine LearningChemical Process | —Unverified | 0 |
| Artificial Neural Network and Its Application Research Progress in Chemical Process | Oct 18, 2021 | Chemical ProcessFault Diagnosis | —Unverified | 0 |
| Application of Neural Network in Optimization of Chemical Process | Oct 11, 2021 | Chemical ProcessSelf-Learning | —Unverified | 0 |
| Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity | Oct 1, 2021 | Chemical ProcessState Estimation | —Unverified | 0 |
| Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems | Apr 21, 2021 | Chemical ProcessDiversity | —Unverified | 0 |
| A review of neural network algorithms and their applications in supercritical extraction | Oct 31, 2020 | Anomaly DetectionChemical Process | —Unverified | 0 |
| A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process | Sep 25, 2020 | Chemical ProcessFeature Importance | —Unverified | 0 |