A method of hierarchical feature fusion and adaptive receptive field for concrete pavement crack detection.

Integrating physical knowledge for generative-based zero-shot learning models in process fault diagnosis.

Joint optimization of quality control and maintenance policy for a production system with quality-dependent failures.

Data-Driven Power Prediction for Proton Exchange Membrane Fuel Cell Reactor Systems.

A method of hybrid dilated and global convolution networks for pavement crack detection.

A concise subspace projection based meta-learning method for fast modeling and monitoring in multi-grade semiconductor process.

Just-In-Time Learning Based Functional Spectral Data Modeling for In-Situ Measurement of Slurry Component Concentrations via Infrared Spectroscopy.

Tensor slow feature analysis and its applications for batch process monitoring.

Variational PLS-Based Calibration Model Building With Semi-Supervised Learning for Moisture Measurement During Fluidized Bed Drying by NIR Spectroscopy.

Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling.

Semi-Supervised Learning-Based Calibration Model Building of NIR Spectroscopy for In Situ Measurement of Biochemical Processes Under Insufficiently and Inaccurately Labeled Samples.