| 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 |
