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Chemical Process

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Showing 1–25 of 58 papers

TitleStatusHype
PC-Gym: Benchmark Environments For Process Control ProblemsCode2
On the Implementation of a Bayesian Optimization Framework for Interconnected SystemsCode1
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical ProcessesCode1
Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed AdaptationCode1
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory NetworkCode1
Latent Variable Method Demonstrator -- Software for Understanding Multivariate Data Analytics AlgorithmsCode1
Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention StrategiesCode0
Neural Component Analysis for Fault DetectionCode0
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees EmbeddedCode0
Emergent simulation of cell-like shapes satisfying the conditions of life using lattice-type multiset chemical modelCode0
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering TasksCode0
BOIS: Bayesian Optimization of Interconnected Systems—0
Application of Neural Network in Optimization of Chemical Process—0
Chance Constrained Policy Optimization for Process Control and Optimization—0
AutoChemSchematic AI: A Closed-Loop, Physics-Aware Agentic Framework for Auto-Generating Chemical Process and Instrumentation Diagrams—0
A sensitivity-based approach to optimal sensor selection for process networks—0
An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis—0
A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process—0
Artificial Neural Network and Its Application Research Progress in Chemical Process—0
Economic data-enabled predictive control using machine learning—0
Deep Anomaly Detection on Tennessee Eastman Process Data—0
Flowsheet synthesis through hierarchical reinforcement learning and graph neural networks—0
A review of neural network algorithms and their applications in supercritical extraction—0
Fuzzy Model Identification and Self Learning with Smooth Compositions—0
Data-driven surrogate modelling and benchmarking for process equipment—0
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