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Chemical Process

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Showing 26–50 of 58 papers

TitleStatusHype
Hybrid fuzzy logic and pid controller based ph neutralization pilot plant—0
Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain—0
LLM-guided Chemical Process Optimization with a Multi-Agent Approach—0
Lyapunov-based reinforcement learning for distributed control with stability guarantee—0
Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes—0
Machine Learning-Based Soft Sensors for Vacuum Distillation Unit—0
Manyopt: An Extensible Tool for Mixed, Non-Linear Optimization Through SMT Solving—0
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process—0
Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks—0
A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process—0
A Grid-Structured Model of Tubular Reactors—0
An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis—0
Application of Neural Network in Optimization of Chemical Process—0
Spatial-temporal associations representation and application for process monitoring using graph convolution neural network—0
Structured Pruning of Neural Networks for Constraints Learning—0
Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity—0
Toward autocorrection of chemical process flowsheets using large language models—0
A comprehensive spatial-temporal infection model—0
Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison—0
Online Fault Detection and Classification of Chemical Process Systems Leveraging Statistical Process Control and Riemannian Geometric Analysis—0
Optimized data exploration applied to the simulation of a chemical process—0
Partition-based distributed extended Kalman filter for large-scale nonlinear processes with application to chemical and wastewater treatment processes—0
Quantifying constraints determining independent activation on NMDA receptors mediated currents from evoked and spontaneous synaptic transmission at an individual synapse—0
Reduced-order Koopman modeling and predictive control of nonlinear processes—0
Robust Machine Learning Modeling for Predictive Control Using Lipschitz-Constrained Neural Networks—0
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