A Novel Spatiotemporal Enhanced Convolutional Autoencoder Network for Unsupervised Health Indicator Construction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3383052
Abstract: The health indicator (HI) of rotating machinery affects the reliability and accuracy of its remaining useful life (RUL) prediction. Convolutional autoencoder (CAE) is widely used for HI construction with the advantage of being unsupervised, but… read more here.
Keywords: autoencoder; health indicator; convolutional autoencoder; network ... See more keywords
Self-Enhanced Convolutional Network for Facial Video Hallucination
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2955640
Abstract: As a domain-specific super-resolution problem, facial image hallucination has enjoyed a series of breakthroughs thanks to the advances of deep convolutional neural networks. However, the direct migration of existing methods to video is still difficult… read more here.
Keywords: video; resolution; enhanced convolutional; hallucination ... See more keywords
Enhanced convolutional neural network accelerators with memory optimization for routing applications
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0320813
Abstract: Currently, Convolutional Neural Networks (CNN) accelerators find application in various digital domains, each highlighting memory utilization as a significant concern leading to system degradation. In response, our present work focuses on optimizing the memory usage… read more here.
Keywords: convolutional neural; memory; cnn; enhanced convolutional ... See more keywords