Search Results - "Attention encoder–decoder network"

Recurrent attention encoder–decoder network for multi-step interval wind power prediction by Ye, Xiaoling, Liu, Chengcheng, Xiong, Xiong, Qi, Yinyi

“… This study proposes a recurrent attention encoder–decoder network for multi-step interval wind power forecasting, combining Numerical Weather Prediction (NWP…”
Get full text

LAEDNet: A Lightweight Attention Encoder–Decoder Network for ultrasound medical image segmentation by Zhou, Quan, Wang, Qianwen, Bao, Yunchao, Kong, Lingjun, Jin, Xin, Ou, Weihua

“… This paper introduces a novel and efficient encoder–decoder network, called Lightweight Attention Encoder–Decoder Network (LAEDNet…”
Get full text

MAENet: Multiple Attention Encoder-Decoder Network for Farmland Segmentation of Remote Sensing Images by Huan, Hai, Liu, Yuan, Xie, Yaqin, Wang, Chao, Xu, Dongdong, Zhang, Yi

“… Therefore, in this letter a semantic segmentation method-multiple attention encoder-decoder network (MAENet…”
Get full text

An Attention Encoder-Decoder Network Based on Generative Adversarial Network for Remote Sensing Image Dehazing by Zhao, Liquan, Zhang, Yupeng, Cui, Ying

“…Remote sensing image dehazing is a difficult problem for its complex characteristics. It can be regarded as the preprocessing of high-level tasks of remote…”
Get full text

Precision Meets Speed: An Attention Encoder-Decoder Network for Deforestation Segmentation by Benvenuto, Giovana A., Negri, Rogerio G., Colnago, Marilaine, Frery, Alejandro C., Casaca, Wallace

“…Deforestation remains a critical global environmental concern, requiring effective monitoring approaches. This letter presents a novel attention-powered…”
Get full text

CA-SegNet: A channel-attention encoder–decoder network for histopathological image segmentation by He, Feng, Wang, Weibo, Ren, Lijuan, Zhao, Yixuan, Liu, Zhengjun, Zhu, Yuemin

“…Histopathological image segmentation based on encoder–decoder architectures has emerged as a pivotal research area in medical image analysis. However, due to…”
Get full text

Context-Aware Attention Encoder-Decoder Network for Connected Heavy-Duty Vehicle Aggressive Driving Identification Under Naturalistic Driving Conditions by Tang, Kun, Yang, Li, Ma, Yongfeng, Guo, Tangyi, He, Fang

“…Driving behavior analysis and identification are of great significance for improving traffic safety and reducing fuel consumption. Existing methods primarily…”
Get full text

MHAED-Net: a lightweight multiscale hybrid attention encoder-decoder network for the efficient segmentation of industrial forging images by Wan, Miao, Lin, Y. C., Li, Shu-Xin, Wu, Gui-Cheng, Zeng, Ning-Fu, Zhang, Song, Chen, Ming-Song, Li, Chao, Zhan, Xiao-Dong, Qiu, Yu-Liang

“… In this study, a lightweight multiscale hybrid attention encoder-decoder network (MHAED-Net) is designed for the efficient segmentation of industrial forging images…”
Get full text

EA-EDNet: encapsulated attention encoder-decoder network for 3D reconstruction in low-light-level environment by Deng, Yulin, Yin, Liju, Gao, Xiaoning, Zhou, Hui, Wang, Zhenzhou, Zou, Guofeng

“… Therefore, we introduce an Encapsulated Attention Encoder-Decoder Network (EA-EDNet) in this paper. It can incorporate multiple levels of semantic to adequately extract…”
Get full text

Vessel Trajectory Prediction Based on Automatic Identification System Data: Multi-Gated Attention Encoder Decoder Network by Yang, Fan, He, Chunlin, Liu, Yi, Zeng, Anping, Hu, Longhe

“…Utilizing time-series data from ship trajectories to forecast their subsequent movement is crucial for enhancing the safety within maritime traffic…”
Get full text

DATNet: Dynamic Adaptive Transformer Network for SAR Image Denoising by Shen, Yan, Chen, Yazhou, Wang, Yuming, Ma, Liyun, Zhang, Xiaolu

“…Aiming at the problems of detail blurring and structural distortion caused by speckle noise, additive white noise and hybrid noise interference in synthetic…”
Get full text

FRANet: A Feature Refinement Attention Network for SAR Image Denoising by Liu, Shuaiqi, Lei, Yu, Hu, Qi, Liu, Ming, Li, Bing, Hu, Weiming, Zhang, Yu-Dong

“…Since synthetic aperture radar (SAR) images have complex noise and have no clean reference images, SAR image denoising is very challenging. With the…”
Get full text

A Temporal-Spatial Attention Encoder-Decoder Network for Multivariate Time Series Forecasting and Its Application in Hot Blast Stove Production by Yang, Yinghua, Qin, Tingwei, Liu, Xiaozhi

“…Deep learning has been widely used in multivariate time series prediction, which can automatically learn hidden information in historical process data. Due to…”
Get full text

A Novel Two-Factor Attention Encoder-Decoder Network through Combining Temporal and Prior Knowledge for Weather Forecasting by Yuan, Minglei, Ji, Xiaozhong, Lu, Tong, Chen, Pengfei, Zhang, Hualu

“…This paper proposes a novel two-factor attention based encoder-decoder model (TwoFactorEncoderDecoder) for multivariate weather prediction. The proposed model…”
Get full text

A-UNet: Attention 3D UNet architecture for multiclass segmentation of Brain Tumor by Agarwala, Sunita, Sharma, Sampark, Uma Shankar, B.

“…Brain tumor is one of the most deadly disease in this globe. Early detection of brain tumor can increase patient survival. Thus, the segmentation of brain…”
Get full text

Three-Dimensional Multifaceted Attention Encoder–Decoder Networks for Pulmonary Nodule Detection by Cao, Keyan, Tao, Hangbo, Wang, Zhongyang

“…Lung cancer is one of the most dangerous cancers in the world, and its early clinical manifestation is malignant nodules in the lungs, so nodule detection in…”
Get full text

A novel strategy for simultaneous super‐resolution reconstruction and denoising of post‐stack seismic profile by Yu, Wenshuo, Dong, Shiqi, Lu, Shaoping, Dong, Xintong

“…‐scale attention encoder–decoder network based on generative adversarial network is proposed…”
Get full text

Predicting miRNA-Disease Associations via Node-Level Attention Graph Auto-Encoder by Zhang, Huizhe, Fang, Juntao, Sun, Yuping, Xie, Guobo, Lin, Zhiyi, Gu, Guosheng

“… Then these matrixes are input into a node-level attention encoder-decoder network which utilizes low dimensional dense embeddings to represent…”
Get full text

Multi-step-ahead prediction of thermal load in regional energy system using deep learning method by Lu, Yakai, Tian, Zhe, Zhou, Ruoyu, Liu, Wenjing

“… in time-delay building energy systems. This study, therefore, proposes a temporal attention encoder-decoder network (TA-EDN…”
Get full text

Flight risk evaluation based on flight state deep clustering network by Wang, Guozhi, Xu, Haojun, Pei, Binbin, Cheng, Haoyu

“… them. In the FSDCN model, a sequential multi-attention encoder–decoder network is designed to extract embedded risk features, and the feature clustering layer is designed…”
Get full text