IEEE

Semi-Supervised Soft Sensor Via Variables Topology Optimization Aided Discrepancy-Aware Convolutional Autoencoder for Sintering Process of Ternary Cathode Materials

Abstract: The residual lithium content in ternary cathode materials (TCMs) serves as a critical quality indicator, necessitating the development of real-time soft sensors for effective process control ...
IEEE

READ3D-Net: Residual Autoencoder and GAN-Based 3-D Convolutional Network for Anomaly Detection

Abstract: Video anomaly detection (VAD) is of great importance for a variety of real-time applications in video surveillance. Most deep learning-based anomaly detection algorithms adopt a one-class ...