Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3151975
Abstract: Accurately predicting the Remaining Useful Life (RUL) of a Li-ion battery plays an important role in managing the health and estimating the state of a battery. With the rapid development of electric vehicles, there is… read more here.
Keywords: network; useful life; remaining useful; transformer network ... See more keywords
Siamese Transformer Network for Real-Time Aerial Object Tracking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3211516
Abstract: Recently, deep learning (DL) based trackers have attracted tremendous interest for their high performance. Despite the remarkable success, most trackers utilizing deep convolution features commonly neglect tracking speed, which is crucial for aerial tracking on… read more here.
Keywords: siamese transformer; transformer network; real time; network real ... See more keywords
Modulation Classification of Active Attacks in Internet of Things: Lightweight MCBLDN With Spatial Transformer Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3163892
Abstract: The Internet of Things (IoT) permeates every aspect of our daily lives as billions of interconnected devices are deployed in the physical world. However, IoT networks operate in an untrusted environment and often suffer from… read more here.
Keywords: network; classification; modulation; spatial transformer ... See more keywords
Convolutional Transformer Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3169815
Abstract: Convolutional neural networks (CNNs) have attained remarkable performance in hyperspectral image (HSI) classification. However, the existing CNNs are restricted by their limited receptive field in HSI classification. Recently, transformer networks have proved to be promising… read more here.
Keywords: convolutional transformer; classification; hsi classification; transformer network ... See more keywords
Multispectral Fusion Transformer Network for RGB-Thermal Urban Scene Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3179721
Abstract: Semantic segmentation plays a vital role in autonomous vehicles. Fusing the rich details of RGB image and the illumination robustness of thermal image has great potential to improve the performance of RGB-T semantic segmentation. In… read more here.
Keywords: fusion; fusion transformer; multispectral fusion; transformer network ... See more keywords
Signal Modulation Classification Based on the Transformer Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2022.3176640
Abstract: In this work, the Transformer Network (TRN) is applied to the automatic modulation classification (AMC) problem for the first time. Different from the other deep networks, the TRN can incorporate the global information of each… read more here.
Keywords: classification; transformer network; modulation classification;
Full-Circuit Implementation of Transformer Network Based on Memristor
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2021.3136355
Abstract: As an emerging in-memory element, memristor has been widely used in various neural network circuits to represent the weights and accelerate the calculation. However, the Transformer Network (TN), one of the most important models for… read more here.
Keywords: full circuit; circuit implementation; circuit; transformer network ... See more keywords
Action-Centric Relation Transformer Network for Video Question Answering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2020.3048440
Abstract: Video question answering (VideoQA) has emerged as a popular research topic in recent years. Enormous efforts have been devoted to developing more effective fusion strategies and better intra-modal feature preparation. To explore these issues further,… read more here.
Keywords: relation transformer; transformer network; action centric; action ... See more keywords
LFT-Net: Local Feature Transformer Network for Point Clouds Analysis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3140355
Abstract: 6G network enables the rapid connection of autonomous vehicles, the generated internet of vehicles establishes a large-scale point cloud, which requires automatic point cloud analysis to build an intelligent transportation system in terms of the… read more here.
Keywords: network; point clouds; transformer network; local feature ... See more keywords
Transformer Network-Based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Microwave Theory and Techniques"
DOI: 10.1109/tmtt.2022.3202221
Abstract: In this article, for the first time, we propose a transformer network-based reinforcement learning (RL) method for power distribution network (PDN) optimization of high bandwidth memory (HBM). The proposed method can provide an optimal decoupling… read more here.
Keywords: network; network based; pdn; based reinforcement ... See more keywords
Ghost translation: an end-to-end ghost imaging approach based on the transformer network.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.478695
Abstract: Artificial intelligence has recently been widely used in computational imaging. The deep neural network (DNN) improves the signal-to-noise ratio of the retrieved images, whose quality is otherwise corrupted due to the low sampling ratio or… read more here.
Keywords: end end; transformer network; ghost; end ... See more keywords