MAFCD: Multi-level and adaptive conditional diffusion model for anomaly detection.

Continuous blood pressure monitoring based on transformer encoders and stacked attention gated recurrent units.

Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network.

A Cognitively Inspired Multi-granularity Model Incorporating Label Information for Complex Long Text Classification.

Continuous blood pressure monitoring using photoplethysmography and electrocardiogram signals by random forest feature selection and GWO-GBRT prediction model.

DSTN: Dynamic Spatio-Temporal Network for Early Fault Warning in Chemical Processes.

Tool Wear Prediction Based on Multi-Information Fusion and Genetic Algorithm-Optimized Gaussian Process Regression in Milling.

Attention-based residual improved U-Net model for continuous blood pressure monitoring by using photoplethysmography signal.

Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations.

Transfer Learning Method Based on Adversarial Domain Adaption for Bearing Fault Diagnosis.

Tool Wear Predicting Based on Multisensory Raw Signals Fusion by Reshaped Time Series Convolutional Neural Network in Manufacturing.

An Integrated Microfabricated Chip with Double Functions as an Ion Source and Air Pump Based on LIGA Technology.

A Hybrid Physics-Based and Data Driven Approach to Optimal Control of Building Cooling/Heating Systems.

Improved Real Coded Genetic Algorithm and Its Simulation.