IEEE

Long-Horizon FCS-MPC Trained 1-D Convolution Neural Networks for FPGA-Based Power-Electronic Converter Control With a Si/SiC Hybrid Converter Case Study

Abstract: Conventional long-horizon finite-control-set model predictive control (FCS-MPC) for power electronics has two main real-time implementation problems: 1) calculation burden and latency; and 2 ...
IEEE

Weighted Sparse Convolution and Transformer Feature Aggregation Networks for 3D Dental Segmentation

Abstract: The conventional alginate technique, widely employed in dentistry to capture tooth morphology, has faced challenges, particularly due to potential discomfort and the risk of allergy ...