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 ...
GitHub

neural-network-python

general deep neural network with L layers model built from scratch with python numpy. coded as a practice on Deep Learning Specialization first course by Andrew Ng. An educational Python project ...
IEEE

Dual-Semantic Graph Convolution Network for Hyperspectral Image Classification With Few Labeled Samples

Abstract: In recent years, superpixel-based graph convolutional networks (GCNs) have drawn increasing attention within the hyperspectral image (HSI) classification community. Due to the ...