Výsledky vyhľadávania - "Attention encoder decoder network"

Recurrent attention encoder–decoder network for multi-step interval wind power prediction Autor 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…”
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LAEDNet: A Lightweight Attention Encoder–Decoder Network for ultrasound medical image segmentation Autor 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…”
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MAENet: Multiple Attention Encoder-Decoder Network for Farmland Segmentation of Remote Sensing Images Autor 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…”
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An Attention Encoder-Decoder Network Based on Generative Adversarial Network for Remote Sensing Image Dehazing Autor 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…”
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Precision Meets Speed: An Attention Encoder-Decoder Network for Deforestation Segmentation Autor 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…”
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CA-SegNet: A channel-attention encoder–decoder network for histopathological image segmentation Autor 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…”
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Context-Aware Attention Encoder-Decoder Network for Connected Heavy-Duty Vehicle Aggressive Driving Identification Under Naturalistic Driving Conditions Autor 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…”
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MHAED-Net: a lightweight multiscale hybrid attention encoder-decoder network for the efficient segmentation of industrial forging images Autor 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…”
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EA-EDNet: encapsulated attention encoder-decoder network for 3D reconstruction in low-light-level environment Autor 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…”
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Vessel Trajectory Prediction Based on Automatic Identification System Data: Multi-Gated Attention Encoder Decoder Network Autor 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…”
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DATNet: Dynamic Adaptive Transformer Network for SAR Image Denoising Autor 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…”
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FRANet: A Feature Refinement Attention Network for SAR Image Denoising Autor 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…”
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A Temporal-Spatial Attention Encoder-Decoder Network for Multivariate Time Series Forecasting and Its Application in Hot Blast Stove Production Autor 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…”
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A Novel Two-Factor Attention Encoder-Decoder Network through Combining Temporal and Prior Knowledge for Weather Forecasting Autor 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…”
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A-UNet: Attention 3D UNet architecture for multiclass segmentation of Brain Tumor Autor 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…”
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Three-Dimensional Multifaceted Attention Encoder–Decoder Networks for Pulmonary Nodule Detection Autor 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…”
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A novel strategy for simultaneous super‐resolution reconstruction and denoising of post‐stack seismic profile Autor Yu, Wenshuo, Dong, Shiqi, Lu, Shaoping, Dong, Xintong

“…‐scale attention encoder–decoder network based on generative adversarial network is proposed…”
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Predicting miRNA-Disease Associations via Node-Level Attention Graph Auto-Encoder Autor 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…”
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Multi-step-ahead prediction of thermal load in regional energy system using deep learning method Autor 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…”
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Flight risk evaluation based on flight state deep clustering network Autor 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…”
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