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检索条件"主题词=encoder-decoder"
902 条 记 录,以下是11-20 订阅
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Dynamic modeling of post-combustion carbon capture process based on multi-gate mixture-of-experts incorporating dual-stage attention-based encoder-decoder network
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APPLIED THERMAL ENGINEERING 2025年 258卷
作者: Zheng, Cheng Sha, Peng Mo, Zhengyang Tang, Zihan Wang, Meihong Wu, Xiao Southeast Univ Natl Engn Res Ctr Power Generat Control & Safety Sch Energy & Environm Nanjing 210096 Peoples R China Univ Sheffield Dept Chem & Biol Engn Sheffield S1 3JD England
Solvent-based post-combustion carbon capture (PCC) technology is a promising, near-term solution for decarbonizing power generation and industrial facilities. Model-based process simulation is crucial for the optimal ... 详细信息
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Destination intention estimation-based convolutional encoder-decoder for pedestrian trajectory multimodality forecast
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MEASUREMENT 2025年 239卷
作者: Wang, Ruiping Lam, Siew-Kei Wu, Meiqing Hu, Zhijian Wang, Changshuo Wang, Jing Nanyang Technol Univ Coll Comp & Data Sci Singapore Singapore Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore North China Univ Technol Sch Elect & Control Engn Beijing Peoples R China
Forecasting pedestrian trajectory is a vital area of research in smart urban mobility, which can be applied to intelligent transportation and intelligent surveillance. Current approaches employ conditional variational... 详细信息
来源: 评论
The unsupervised short text classification method based on GCN encoder-decoder and local enhancement
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EXPERT SYSTEMS WITH APPLICATIONS 2025年 282卷
作者: Wei, Yingying Wang, Ze Li, Jianbin Li, Tao Hunan Univ Sci & Technol Sch Comp Sci & Engn Xiangtan 411201 Hunan Peoples R China Cent South Univ Forestry & Technol Sch Comp & Informat Engn Changsha 410004 Hunan Peoples R China
Like all fields of data science, short text classification seeks to achieve high-quality results with limited data. Although supervised learning methods have made notable progress in this area, they require much-label... 详细信息
来源: 评论
A Highly Robust encoder-decoder Network with Multi-Scale Feature Enhancement and Attention Gate for the Reduction of Mixed Gaussian and Salt-and-Pepper Noise in Digital Images
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JOURNAL OF IMAGING 2025年 第2期11卷 51-51页
作者: Tripathi, Milan Kongprawechnon, Waree Kondo, Toshiaki Thammasat Univ Sirindhorn Int Inst Technol Sch Informat Comp & Commun Technol Pathum Thani 12120 Thailand
Image denoising is crucial for correcting distortions caused by environmental factors and technical limitations. We propose a novel and highly robust encoder-decoder network (HREDN) for effectively removing mixed salt... 详细信息
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A Novel encoder-decoder Model for Short-Term Multistep Wind Power Prediction
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IEEE ACCESS 2025年 13卷 78647-78663页
作者: Wang, Qiushi Wang, Dekuan Li, Yifan China Inst Water Resources & Hydropower Res Beijing 100038 Peoples R China Beijing IWHR Technol Co Ltd Beijing 100038 Peoples R China
Wind power has emerged as a vital renewable energy source. However, its inherent temporal variability and non-stationarity pose significant challenges for accurate forecasting. To solve this problem, this study propos... 详细信息
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encoder-decoder recurrent network model for interactive character animation generation
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VISUAL COMPUTER 2017年 第6-8期33卷 971-980页
作者: Wang, Yumeng Che, Wujun Xu, Bo Chinese Acad Sci Inst Automat Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
In this paper, we propose a generative recurrent model for human-character interaction. Our model is an encoder-recurrent-decoder network. The recurrent network is composed by multiple layers of long short-term memory... 详细信息
来源: 评论
encoder-decoder With Cascaded CRFs for Semantic Segmentation
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2021年 第5期31卷 1926-1938页
作者: Ji, Jian Shi, Rui Li, Sitong Chen, Peng Miao, Qiguang Xidian Univ Sch Comp Sci & Technol Xian 710071 Peoples R China
When dealing with semantic segmentation, how to locate the object boundary information more accurately is a key problem to distinguish different objects better. The existing methods lose some image information more or... 详细信息
来源: 评论
encoder-decoder convolutional neural network for simple CT segmentation of COVID-19 infected lungs
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PEERJ COMPUTER SCIENCE 2024年 10卷 e2178页
作者: Newson, Kiri S. Benoit, David M. Beavis, Andrew W. Univ Hull Dept Phys & Math Kingston Upon Hull England Univ Hull EA Milne Ctr Astrophys Dept Phys & Math Kingston Upon Hull England Hull Univ Teaching Hosp NHS Trust Queens Ctr Oncol Med Phys Dept Cottingham England Univ London Univ Coll London Med Phys & Biomed Engn London England Univ Hull Hull York Med Sch Kingston Upon Hull England
This work presents the application of an encoder-decoder convolutional neural network (ED-CNN) model to automatically segment COVID-19 computerised tomography (CT) data. By doing so we are producing an alternative mod... 详细信息
来源: 评论
encoder-decoder neural networks in interpretation of X-ray spectra
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JOURNAL OF ELECTRON SPECTROSCOPY AND RELATED PHENOMENA 2024年 277卷
作者: Passilahti, Jalmari Vladyka, Anton Niskanen, Johannes Univ Turku Dept Phys & Astron Vesilinnantie 5 Turku 20014 Finland
encoder-decoder neural networks (EDNN) condense information most relevant to the output of the feedforward network to activation values at a bottleneck layer. We study the use of this architecture in emulation and int... 详细信息
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encoder-decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2021年 第9期32卷 4217-4230页
作者: Li, Lianfa Fang, Ying Wu, Jun Wang, Jinfeng Ge, Yong Chinese Acad Sci Inst Geog Sci & Nat Resources Res State Key Lab Resources & Environm Informat Syst Beijing Peoples R China Univ Calif Irvine Dept Environm & Occupat Hlth Irvine CA 92697 USA
Although increasing hidden layers can improve the ability of a neural network in modeling complex nonlinear relationships, deep layers may result in degradation of accuracy due to the problem of vanishing gradient. Ac... 详细信息
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